Geopolitical shifts and evolving social challenges – what role for human rights? 29 June 2021 — 3:00PM TO 4:30PM Anonymous (not verified) 10 June 2021 Online

Speakers reflect on some of the key themes that will influence the future of human rights.

Please click on the below link to confirm your participation and receive your individual joining details from Zoom for this event. You will receive a confirmation email from Zoom, which contains the option to add the event to your calendar if you so wish.

Shifts in geopolitical power and the rise of authoritarianism are disrupting the dynamics for making progress on human rights globally.

At the same time, the relevance of the global human rights framework is being called into question by some of our most acute social challenges – rapidly evolving technology, deepening inequality and the climate crisis.

Chatham House’s Human Rights Pathways project is exploring how alliances, strategies and institutions are adapting, and will need to evolve, to strengthen human rights protection in this increasingly contested and complex global environment.

At this panel event speakers reflect on some of the key themes that will influence the future of human rights, including the long-term impacts of the pandemic, the place of human rights diplomacy in the new geopolitics, the relevance of human rights to social movements, and the potential of human rights law to galvanise efforts on urgent challenges such as the climate crisis.

Challenges of AI Explainer jon.wallace 22 March 2022

What are the practical, legal and ethical implications of artificial intelligence (AI) and how can regulation help meet these challenges?

This article explains the challenges associated with the funding, development, supply and regulation of artificial intelligence (AI). It deals with narrow AI, that is systems and applications that are task-specific.

The article is not concerned with the concept of artificial general intelligence, or AGI, that is an AI which could meet and exceed the full capabilities of the human mind in the future.

Definition of AI

There is no universally accepted definition of AI, but in the UK’s Industrial Strategy White Paper, AI is defined as ‘technologies with the ability to perform tasks that would otherwise require human intelligence’. 

AI makes decisions using algorithms that either follow rules or, in the case of machine learning, review large quantities of data to identify and follow patterns. Because machine learning consists of multiple layers, and machines develop their own learning and patterns, it is opaque compared to traditional rule-following computing.

Today AI applications are common in many economic activities including online shopping and advertising, web search, digital personal assistants, language translation, smart homes and infrastructure, health, transport and manufacturing. 

Risks and benefits of AI

AI has the potential to bring huge advantages, for example in medical science, education, food and aid distribution, more efficient public transport and in tackling climate change. 

Used well, it could help humanity meet the UN’s 2030 Sustainable Development Goals and make many processes swifter, fairer and more efficient. It is a technology which is likely to be as transformative to human history as was the Industrial Revolution.

However, there are serious ethical, safety and societal risks associated with the rapid growth of AI technologies. 

Will AI be a tool that makes rich people richer? Will it exaggerate bias and discrimination? Will AI decision-making create a less compassionate society? Should there be limits to what decisions an AI system can take autonomously, from overtaking a car on the motorway to firing a weapon?

And if AI goes wrong – for example if a self-driving car has an accident – who should be liable? 

To ensure AI is used safely and fairly, up-to-date and rigorous regulation is needed. 

Regulation of AI

AI creates serious regulatory challenges due to the way it is funded, researched and developed.  

The private sector drives progress in AI, and governments mostly rely on big tech companies to build their AI software, furnish their AI talent, and achieve AI breakthroughs. In many respects this is a reflection of the world we live in, as big tech firms have the resources and expertise required.

However, without government oversight the future application of AI’s extraordinary potential will be effectively outsourced to commercial interests. That outcome provides little incentive to use AI to address the world’s greatest challenges, from poverty and hunger to climate change.

Government policy on AI

Currently governments are playing catch-up as AI applications are developed and rolled out. Despite the transnational nature of this technology, there is no unified policy approach to AI regulation, or to the use of data. 

It is vital that governments provide ‘guardrails’ for private sector development through effective regulation. But this is not yet in place, either in the US (where the largest amount of development is taking place) or in most other parts of the world. This regulation ‘vacuum’ has significant ethical and safety implications for AI. 

Some governments fear that imposing stringent regulations will discourage investment and innovation in their countries and lose them a competitive advantage. This attitude risks a ‘race to the bottom’, where countries compete to minimize regulation in order to lure big tech investment. 

The EU and UK governments are beginning to discuss regulation but plans are still at an early stage. Probably the most promising approach to government policy on AI is the EU’s proposed risk-based approach. It would ban the most problematic uses of AI, such as AI that distorts human behaviour or manipulates citizens through subliminal techniques. 

And it would require risk management and human oversight of AI that poses high risk to safety or human rights, such as AI used in critical infrastructure, credit checks, recruitment, criminal justice, and asylum applications.

Meanwhile, the UK is keen to see the establishment of an AI assurance industry that would provide kitemarks (or the equivalent) for AI that meets safety and ethical standards.

Despite these policy developments, there remain fundamental questions about how to categorize and apply risk assessments, what an AI rights-based approach could look like, and the lack of inclusivity and diversity in AI.

AI ethical issues

AI has serious ethical implications. Because AI develops its own learning, those implications may not be evident until it is deployed. The story of AI is littered with ethical failings: with privacy breaches, with bias, and with AI decision-making that could not be challenged.

It’s therefore important to identify and mitigate ethical risks while AI is being designed and developed, and on an ongoing basis once it is in use. 

But many AI designers work in a competitive, profit-driven context where speed and efficiency are prized and delay (of the kind implied by regulation and ethical review) is viewed as costly and therefore undesirable. 

Designers may also not have the training, tools or capacity to identify and mitigate ethical issues. The majority are from an engineering or computing background, and do not reflect the diversity in society.

Shareholders and senior management will also naturally be hostile to criticism which could affect profits.

Once an AI application has been designed, it is often sold to companies to fulfil a task (for example, sifting employment applicants) without the buyer being able to understand how it works or what risks may come with it.

Ethical frameworks for AI

Some international bodies have made efforts to create an ethical framework for AI development, including UNESCO’s Recommendation on the Ethics of Artificial Intelligence, and the IEEE’s Global Initiative on Ethics of Autonomous and Intelligent Systems. And some companies have developed their own ethical initiatives.

But each of these proposals naturally overlaps, is slightly different and is voluntary. They set out principles for creating ethical AI, but provide no accountability in the event that an AI goes wrong.

Ethical roles in the AI industry are a potentially important new profession, but the field is underfunded and under resourced. There is widespread agreement that ethics is important, but a lack of consensus on how it should be enforced.

Government use of AI

It’s equally important that the way governments use AI is understood, consensual and ethical, complying with human rights obligations. Opaque practices by governments may feed the perception of AI as a tool of oppression. 

China has some of the clearest regulation of AI private industry in the world, but the way the government has deployed AI tools in the surveillance of its citizens has serious civil liberties implications.

China’s exports of AI to other countries are increasing the prevalence of government surveillance internationally.

Privacy and AI

Probably the greatest challenge facing the AI industry is the need to reconcile AI’s need for large amounts of structured or standardized data with the human right to privacy. 

AI’s ‘hunger’ for large data sets is in direct tension with current privacy legislation and culture. Current law, in the UK and Europe limits both the potential for sharing data sets and the scope of automated decision-making. These restrictions are limiting the capacity of AI. 

During the COVID-19 pandemic, there were concerns that it would not be possible to use AI to determine priority allocation of vaccines. (These concerns were allayed on the basis that GPs provided oversight on the decision-making process.)

More broadly, some AI designers said they were unable to contribute to the COVID-19 response due to regulations that barred them from accessing large health data sets. It is at least feasible that such data could have allowed AI to offer more informed decisions about the use of control measures like lockdowns and the most effective global distribution of vaccines.

Better data access and sharing are compatible with privacy, but require changes to our regulation. The EU and UK are considering what adjustments to their data protection laws are needed to facilitate AI while protecting privacy.

3 July 2020

What challenges does the new president of Somalia face? Explainer Video aboudiaf.drupal 28 June 2022

Ahmed Soliman examines the challenges the new president Hassan Sheikh Mohamud faces in his first 100 days as president.

Key issues for the new administration are a deteriorating situation with regards to drought as close to half the population are facing food insecurity due to a fourth failed rainy season.

Combined with an inflation rate above ten per cent, many Somalis are at risk of famine and starvation. Many areas of the country are affected from the pastoralist regions to those which house IDP camps around the capital city and other towns, all being exacerbated by the war in Ukraine as Somalia was importing much of its wheat imports from Ukraine and Russia.

Regulation of gene expression is essential for the functioning of all eukaryotic organisms. Understanding gene expression regulation requires determining which proteins interact with regulatory elements in chromatin. Mass spectrometry-based analysis of chromatin has emerged as a powerful tool to identify proteins associated with gene regulation, as it allows studying protein function and protein complex formation in their in vivo chromatin-bound context. Total chromatin isolated from cells can be directly analysed using mass spectrometry or further fractionated into transcriptionally active and inactive chromatin prior to MS-based analysis. Newly formed chromatin that is assembled during DNA replication can also be specifically isolated and analysed. Furthermore, capturing specific chromatin domains facilitates the identification of previously unknown transcription factors interacting with these domains. Finally, in recent years, advances have been made towards identifying proteins that interact with a single genomic locus of interest. In this review, we highlight the power of chromatin proteomics approaches and how these provide complementary alternatives compared to conventional affinity purification methods. Furthermore, we discuss the biochemical challenges that should be addressed to consolidate and expand the role of chromatin proteomics as a key technology in the context of gene expression regulation and epigenetics research in health and disease.

Zimbabwe Ahead of the Elections: Political and Economic Challenges 8 May 2018 — 10:00AM TO 11:00AM Anonymous (not verified) 3 May 2018 Chatham House, London

The upcoming elections in Zimbabwe will be the first since 2000 in which former president Robert Mugabe and long-time opposition leader Morgan Tsvangirai are not on the ballot paper. A key electoral issue for many voters will be the economy: recent years have been marked by high unemployment rates, chronic cash shortages and mounting public debt. Although this has traditionally been a strong campaigning issue for the opposition, President Emmerson Mnangagwa has fast-tracked comprehensive economic reforms.

At this event, Nelson Chamisa, MDC Alliance presidential candidate, will discuss his efforts to build a united opposition coalition with a strong message, the steps needed to ensure a free and fair election can take place, and the role that international partners can play in Zimbabwe’s democratic process.

Higher Education in South Africa: Demands for Inclusion and the Challenges of Reform 17 October 2018 — 5:00PM TO 6:00PM Anonymous (not verified) 18 September 2018 Chatham House, London

Political Reform in Angola: Challenges and Priorities for Elected Officials 31 October 2018 — 4:00PM TO 5:00PM Anonymous (not verified) 26 October 2018 Chatham House, London

Angola’s reformulated National Assembly has passed a series of legislative reforms since elections in August 2017, in which the ruling MPLA won a majority of 150 seats to the 51 held by the UNITA leading opposition party.

Many of the changes have targeted the revitalization of an underperforming economy and improved governance: in June 2018 parliament approved a new private investment law aimed at diversifying Angola’s fiscal base beyond oil revenues while new legislation in May mandated the return of illicitly exported capital of over $100,000.

As the appetite for measurable progress across all sectors of society remains high, and with newly constituted municipal elections scheduled for 2020, inclusive and accountable political debate will remain critical to Angola’s future.

At the event, a cross-party delegation discuss the role of the National Assembly in affecting political change and the importance of maintaining open dialogue among opposing voices to address the challenges facing Angola.

March 26, 2024 — Scientists at the Department of Energy’s Oak Ridge National Laboratory have determined how to avoid costly and potentially irreparable damage to large metallic parts fabricated through […]

The post ORNL Develops Solution to Residual Stress Challenges in 3D-Printed Metal Structures appeared first on HPCwire.

Filmmaker Jon M. Chu has enjoyed an incredible run of success, directing films like "Crazy Rich Asians," "In the Heights" and the highly anticipated adaptation of "Wicked" in theaters soon. But he wasn't always sure he'd make it big. In a wide-ranging conversation, Chu gives his thoughts on nurturing creativity, embracing failure and finding inspiration in your upbringing — as well as some key leadership lessons from his new memoir, "Viewfinder." (This live conversation was hosted by TED's Whitney Pennington Rodgers. Visit ted.com/membership to support TED today and join more exclusive events like this one.)

A new study says that problems surrounding child-care hurt Georgia parents economically in many ways including in turned down promotions and having to cut back on work and school hours.

A Florida district's decision to put armed "school safety assistants" in its elementary schools puts the safety and well-being of its students at risk and oversteps existing state law, says a lawsuit, which could topple school security plans throughout the state.

Challengers of state executive orders, to open schools for in-person instruction in some places and keep them closed in others, are having difficulty getting meaningful relief from the courts.

FAO Director-General José Graziano da Silva today called on countries to put nutrition high on their national and international agendas, and to take a lead role in the upcoming Second [...]

Data analyses, policy recommendations, and actions on the ground.

New rebuilding regulations in Jasper have been approved, but roadblocks — including the sheer number of people that are needed for construction — are popping up.

Solutions Catch Problems Early and Drive Cost Out of Designs

Virtual Prototyping Reduces Time and Cost of Physical Tests

All Classroom Q&A posts sharing advice on Facing Gender Challenges in Education (from the past nine years!) are described and linked to in this compilation post.

Makeda Brome, Pia Hansen, Linda Gojak, Marian Small, Kenneth Baum and David Krulwich share their thoughts on the biggest challenges facing math teachers.

Most districts have the technology to support the basic digital textbooks of today, but not the interactive, multimedia-rich ones of the future.

Shifts in how reading is taught have led to declining reading literacy scores on standardized tests across U.S.

AP has managed to dodge the partisan pitfalls that have felled other ambitious curricular efforts—so far, write Chester E. Finn Jr. and Andrew E. Scanlan.

Apple's iPhone 17 Air model might not be as thin as the company previously planned, according to a tipster. Expected to replace the 'Plus' model in its lineup in 2025, Apple has reportedly encountered challenges in lowering the device's thickness due to the battery.

While commerce apps are charging a high price for coconut, the local vendors viral ad is gaining traction for a low price.

As businesses in the UK and Ireland rapidly adopt generative AI, strategic insights from the latest SAS study reveal the roadmap to successful integration and the hurdles to overcome. GenAI is rapidly transforming how businesses operate, innovate, and interact with customers and employees alike. However, as the technology proliferates, so [...]

Unlocking generative AI: Navigating challenges to reap unprecedented business benefits was published on SAS Voices by Iain Brown

Explore Impacts of Finite Interconnect Impedance on PDN Characterization

Over the past few decades, many details have been worked out in the power distribution network (PDN) in the frequency and time domains. We have simulation tools that can analyze the physical structure from DC to very high frequencies, including spatial variations of the behavior. We also have frequency- and time-domain test methods to measure the steady-state and transient behavior of the built-up systems.

All of these pieces in our current toolbox have their own assumptions, limitations, and artifacts, and they constantly raise the challenging question that designers need to answer: How to select the design process, simulation, measurement tools, and processes so that we get reasonable answers within a reasonable time frame with a reasonable budget.

Read this award-winning DesignCon 2024 paper titled “Impact of Finite Interconnect Impedance Including Spatial and Domain Comparison of PDN Characterization.” Led by Samtec’s Istvan Novak and written with a team of nine authors from Cadence, Amazon, and Samtec, the paper discusses a series of continually evolving challenges with PDN requirements for cutting-edge designs.

Read the full paper now: “Impact of Finite Interconnect Impedance Including Spatial and Domain Comparison of PDN Characterization.”

Power network design and analysis of 3D-ICs is a major challenge due to the complex nature and large size of the power network. In addition, designers must deal with the complexity of routing power through the interposer, multiple dies, through-silicon vias (TSVs), and through-dielectric vias (TDVs).
Cadence’s Integrity 3D-IC Platform and Voltus IC Power Integrity Solution provide a fully integrated solution for early planning and analysis of 3D-IC power networks, 3D-IC chip-centric power integrity signoff, and hierarchical methods that significantly improve capacity and performance of power integrity (PI) signoff while maintaining a very high level of accuracy at signoff. This blog summarizes the typical design challenges faced by today’s 3D-IC designers, as discussed in our recent webinar, “Addressing 3D-IC Power Integrity Design Challenges.” Please click here to view the full webinar.

Major Trends in Advanced Chip Design

From chips to chiplets, stacked die, 3D-ICs, and more, three major trends are impacting advanced semiconductor packaging design. The first is heterogenous integration, which we define as a disaggregated approach to designing systems on chip (SoCs) from multiple chiplets. This approach is similar to system-in-package (SiP) design, except that instead of integrating multiple bare die – including 3D stacking – on a single substrate, multiple IPs are integrated in the form of chiplets on a single substrate.

The second major trend is around new silicon manufacturing techniques that leverage silicon vias (TSVs) and high-density fanout RDL. These advancements mean that silicon is becoming a more attractive material for packaging, especially when high bandwidth and form factor become key attributes in the end design. This brings new design and verification challenges to most packaging engineers who typically work with organic and ceramic substrate materials.

Finally, on the ecosystem side, all the large semiconductor foundries now offer their own versions of advanced packaging. This brings new ways of supporting design teams with technologies like reference flows and PDKs, concepts that have typically been lacking in the packaging community. Cadence has worked with many of the leading foundries and outsourced semiconductor assembly and test facilities (OSATs) to develop multi-chip(let) packaging reference flows and package assembly design kits. The downside is that, with the time restrictions designers are under today, there isn’t enough time to simulate the details of these flows and PDKs further.

For those who must make the best electro/thermal/physical decisions to achieve the best power/performance/area/cost (PPAC), factors can include accurate die size estimations, thermal feasibility, die-to-die interconnect planning, interposer planning (silicon/organic), front-to-front and front-to-back (F2F/F2B) planning, layer stack and electromigration/ IR drop (EMIR)/TSV planning, IO bandwidth feasibility, and system-level architecture selection.

3D-IC Power Network Design and Analysis

The key to success in 3D-IC design is early power integrity planning and analysis. Cadence’s Integrity 3D-IC platform is a high-capacity 3D-IC platform that enables 3D design planning, implementation, and system analysis in a single, unified cockpit. Cadence’s Voltus IC Power Integrity Solution is a comprehensive full chip electromigration, IR drop, and power analysis solution. With its fully distributed architecture and hierarchical analysis capabilities, Voltus provides very fast analysis and has the capacity to handle the largest designs in the industry. Typically, 3D-IC PDN design and analysis is performed in four phases, as shown in Figure 1.

Phase 1 - Perform early power delivery network (PDN) exploration with each fabric’s PDN cascaded in system PI with early circuit models.

Phase 2 – Plan 3D-IC PDNs in Cadence’s Integrity 3D-IC platform, including micro bumps, TSVs, and through dielectric vias (TDVs), power grid synthesis for dies, and early rail analysis and optimization.

Phase 3 – Perform full chip-centric signoff in Voltus with detailed die, interposer, and package models, including chip die models, while keeping some dies flat.

Phase 4 – Perform full system-level signoff with Cadence’s Sigrity SystemPI using detailed extracted package models from Sigrity XtractIM, board models from Sigrity PowerSI or Clarity 3D Solver, interposer models from XtractIM or Voltus, and chip power models from Voltus.

Figure 1. 3D-IC PDN design and analysis phases

3D-IC Chip-Centric Signoff

The integration of Integrity 3D-IC and Voltus enables chip-centric early analysis and signoff. Figure 2 and Figure 3 highlight the chip centric early PI optimization and signoff flows. In early analysis, the on-chip power networks are synthesized, and the micro bumps and TSVs can be placed and optimized. In the signoff stage, all the detailed design data is used for power analysis, and detailed models are extracted and used for package, interposer, and on-die power networks.

Figure 2. Early chip-centric PI analysis and optimization flow

Figure 3. Chip-centric 3D-IC PI signoff

Hierarchical 3D-IC PI Analysis

To improve the capacity and performance of 3D-IC PI analysis, Voltus enables hierarchical analysis using chiplet models. Chiplet models can be reduced chip models in spice format or more accurate xPGV models which are highly accurate proprietary models generated by Voltus. With xPGV models, the hierarchical PI analysis has almost the same accuracy as flat analysis but offers 10X or higher benefit in runtime and memory requirements.

Conclusion

This blog has highlighted the major design trends enabled by advanced 3D packaging and the design challenges arising from these advancements. The design of power delivery networks is one of these major challenges. We have discussed Cadence solutions to overcome this PI challenge. To learn more, view our recent webinar, "Addressing 3D-IC Power Integrity Design Challenges" and visit the Voltus web page.

The application of real-time data processing or responsiveness is crucial, such as in high-performance computing, data centers, or applications requiring low-latency data transfers. It enables efficient use of PCIe bandwidth and resources by intelligently managing memory write operations based on system dynamics and workload priorities. By effectively leveraging Deferrable Memory Write [DMWr], Devices can achieve optimized performance and responsiveness, aligning with the evolving demands of modern computing applications.

What Is Deferrable Memory Write?

Deferrable Memory Write (DMWr) ECN introduced this new memory transaction type, which was later officially incorporated in PCIe 5.0 to CXL2.0. This enhanced type of memory transaction is Deferrable Memory Write [DMWr], which flows as another type of existing Read/Write memory transaction; the major difference of this Deferrable Memory Write, where the Requester attempts to write to a given location in Memory Space using the non-posted DMWr TLP Type, it Postponing their completion of memory write transactions to improve overall system efficiency and performance, those memory write operation can be delay or deferred until other priority task complete.

The Deferrable Memory Write (DMWr) requires the Completer to return an acknowledgment to the Requester and provides a mechanism for the recipient to defer (temporarily refuse to service) the Request.

DMWr provides a mechanism for Endpoints and hosts to choose to carry out or defer incoming DMWr Requests. This mechanism can be used by Endpoints and Hosts to simplify the design of flow control, reduce latency, and improve throughput. The Deferrable Memory writes TLP format in Figure A.

(Fig A) Deferrable Memory writes TLP format.

Example Scenario

Here's how the DMWr works with a simplified example: Imagine a system with an endpoint device (Device A) and a host CPU (Device B). Device B wants to write data to Device A's memory, but due to varying reasons such as system bus congestion or prioritization of other transactions, Device A can defer the completion of the memory write request. Just follow these steps:

1. Initiation of Memory Write: Device B initiates a memory write transaction to Device A. This involves sending the memory write request along with the data payload over the PCIe physical layer link.
2. Acknowledgment and Deferral: Upon receiving the memory write request, Device A acknowledges the transaction but may decide to defer its completion. Device A sends an acknowledgment (ACK) back to Device B, indicating it has received the data and intends to complete the write operation but not immediately.
3. Deferred Completion: Device A defers the completion of the memory write operation to a later, more opportune time. This deferral allows Device A to prioritize other transactions or optimize the use of system resources, such as memory bandwidth or processor availability.
4. Completion and Response: At a later point, Device A completes the deferred memory write operation and sends a completion indication back to Device B. This completion typically includes any status updates or additional information related to the transaction.

Usage or Importance of DMWr

Deferrable Memory Write usage provides the improvement in the following aspects:

• Reduced Latency: By deferring less critical memory write operations, more critical transactions can be processed with lower latency, improving overall system responsiveness.
• Improved Efficiency: Optimizes the utilization of system resources such as memory bandwidth and CPU cycles, enhancing the efficiency of data transfers within the PCIe architecture.
• Enhanced Performance: Allows devices to manage and prioritize transactions dynamically, potentially increasing overall system throughput and reducing contention.

Challenges in the Implementation of DMWr Transactions

The implementation of deferrable memory writes (DMWr) introduces several advancements and challenges in terms of usage and verification:

1. Timing and Synchronization: DMWr allows transactions to be deferred, complicating timing requirements or completing them within acceptable timing windows to avoid protocol violations. Ensuring proper synchronization between devices becomes critical to prevent data loss or corruption.
2. Protocol Compliance: Verification must ensure compliance with ECN PCIe 6.0 and CXL specifications regarding when and how DMWr transactions can be initiated and completed.
3. Performance Optimization: While DMWr can improve overall system performance by reducing latency, verifying its impact on system performance and ensuring it meets expected benchmarks is crucial.
4. Error Handling: Handling errors related to deferred transactions adds complexity. Verifying error detection and recovery mechanisms under various scenarios (e.g., timeout during deferral) is essential.

Verification Challenges of DMWr Transactions

The challenges to verifying the DMWr transaction consist of all checks with respect to Function, Timing, Protocol compliance, improvement, Error scenario, and security usage on purpose, as well as Data integrity at the PCIe and CXL.

1. Functional Verification: Verifying the correct implementation of DMWr at both ends of the PCIe link (transmitter and receiver) to ensure proper functionality and adherence to specifications.
2. Timing Verification: Validating timing constraints associated with deferring writes and ensuring transactions are completed within specified windows without violating protocol rules.
3. Protocol Compliance Verification: Checking that DMWr transactions adhere to PCIe and CXL protocol rules, including ordering rules and any restrictions on deferral based on the transaction type.
4. Performance Verification: Assessing the impact of DMWr on overall system performance, including latency reduction and bandwidth utilization, through simulation and testing.
5. Error Scenario Verification: Creating and testing scenarios to verify error handling mechanisms related to DMWr, such as timeouts, retries, and recovery procedures.
6. Security Considerations: Assessing potential security vulnerabilities related to DMWr, such as data integrity risks during deferred transactions or exposure to timing-based attacks.

Major verification challenges and approaches are timing and synchronization verification in the context of implementing deferrable memory writes (DMWr), which is crucial due to the inherent complexities introduced by deferred transactions. Here are the key issues and approaches to address them:

Timing and Synchronization Issues

1. Transaction Completion Timing:
   • Issue: Ensuring deferred transactions are completed within the specified time window without violating protocol timing constraints.
   • Approach: Design an internal timer and checker to model worst-case scenarios where transactions are deferred and verify that they are complete within allowable latency limits. This involves simulating various traffic loads and conditions to assess timing under different scenarios.
2. Ordering and Dependencies:
   • Issue: Verifying that transactions deferred using DMWr maintain the correct ordering and dependencies relative to non-deferred transactions.
   • Approach: Implement test scenarios that include mixed traffic of DMWr and non-DMWr transactions. Verify through simulation or emulation that dependencies and ordering requirements are correctly maintained across the PCIe link.
3. Interrupt Handling and Response Times:
   • Issue: Verify the handling of interrupts and ensure timely responses from devices involved in DMWr transactions.
   • Approach: Implement test cases that simulate interrupt generation during DMWr transactions. Measure and verify the response times to interrupts to ensure they meet system latency requirements.

In conclusion, while deferrable memory writes in PCIe and CXL offer significant performance benefits, their implementation and verification present several challenges related to timing, protocol compliance, performance optimization, and error handling. Addressing these challenges requires rigorous testing and testbench of traffic, advanced verification methodologies, and a thorough understanding of PCIe specifications and also the motivation behind introducing this Deferrable Write is effectively used in the CXL further. Outcomes of Deferrable Memory Write verify that the performance benefits of DMWr (reduced latency, improved throughput) are achieved without compromising timing integrity or violating protocol specifications.

In summary, PCIe and CXL are complex protocols with many verification challenges. You must understand many new Spec changes and consider the robust verification plan for the new features and backward compatible tests impacted by new features. Cadence's PCIe 6.0 Verification IP is fully compliant with the latest PCIe Express 6.0 specifications and provides an effective and efficient way to verify the components interfacing with the PCIe 6.0 interface. Cadence VIP for PCIe 6.0 provides exhaustive verification of PCIe-based IP and SoCs, and we are working with Early Adopter customers to speed up every verification stage.

More Information

• For more info on how Cadence PCIe Verification IP and TripleCheck VIP enable users to confidently verify PCIe 6.0, see our VIP for PCI Express, VIP for Compute Express Link, and TripleCheck for PCI Express
• See the PCI-SIG website for more details on PCIe in general and the different PCI standards.

Peripheral Component Interconnect Express (PCIe) is a high-speed interface standard widely used for connecting processors, memory, and peripherals. With the increasing reliance on PCIe to handle sensitive data and critical high-speed data transfer, ensuring data integrity and encryption during verification is the most essential goal. As we know, in the field of verification, randomization is a key technique that drives robust PCIe verification. It introduces unpredictability to simulate real-world conditions and uncover hidden bugs from the design. This blog examines the significance of randomization in PCIe IDE verification, focusing on how it ensures data integrity and encryption reliability, while also highlighting the unique challenges it presents. For more relevant details and understanding on PCIe IDE you can refer to Introducing PCIe's Integrity and Data Encryption Feature . The Importance of Data Integrity and Data Encryption in PCIe Devices Data Integrity : Ensures that the transmitted data arrives unchanged from source to destination. Even minor corruption in data packets can compromise system reliability, making integrity a critical aspect of PCIe verification. Data Encryption : Protects sensitive data from unauthorized access during transmission. Encryption in PCIe follows a standard to secure information while operating at high speeds. Maintaining both data integrity and data encryption at PCIe’s high-speed data transfer rate of 64GT/s in PCIe 6.0 and 128GT/s in PCIe 7.0 is essential for all end point devices. However, validating these mechanisms requires comprehensive testing and verification methodologies, which is where randomization plays a very crucial role. You can refer to Why IDE Security Technology for PCIe and CXL? for more details on this. Randomization in PCIe Verification Randomization refers to the generation of test scenarios with unpredictable inputs and conditions to expose corner cases. In PCIe verification, this technique helps us to ensure that all possible behaviors are tested, including rare or unexpected situations that could cause data corruption or encryption failures that may cause serious hindrances later. So, for PCIe IDE verification, we are considering the randomization that helps us verify behavior more efficiently. Randomization for Data Integrity Verification Here are some approaches of randomized verifications that mimic real-world traffic conditions, uncovering subtle integrity issues that might not surface in normal verification methods. 1. Randomized Packet Injection: This technique randomized data packets and injected into the communication stream between devices. Here we Inject random, malformed, or out-of-sequence packets into the PCIe link and mix valid and invalid IDE-encrypted packets to check the system’s ability to detect and reject unauthorized or invalid packets. Checking if encryption/decryption occurs correctly across packets. On verifying, we check if the system logs proper errors or alerts when encountering invalid packets. It ensures coverage of different data paths and robust protocol check. This technique helps assess the resilience of the IDE feature in PCIe in below terms: (i) Data corruption: Detecting if the system can maintain data integrity. (ii) Encryption failures: Testing the robustness of the encryption under random data injection. (iii) Packet ordering errors: Ensuring reordering does not affect data delivery. 2. Random Errors and Fault Injection: It involves simulating random bit flips, PCRC errors, or protocol violations to help validate the robustness of error detection and correction mechanisms of PCIe. These techniques help assess how well the PCIe IDE implementation: (i) Detects and responds to unexpected errors. (ii) Maintains secure communication under stress. (iii) Follows the PCIe error recovery and reporting mechanisms (AER – Advanced Error Reporting). (iv) Ensures encryption and decryption states stay synchronized across endpoints. 3. Traffic Pattern Randomization: Randomizing the sequence, size, and timing of data packets helps test how the device maintains data integrity under heavy, unpredictable traffic loads. Randomization for Data Encryption Verification Encryption adds complexity to verification, as encrypted data streams are not readable for traditional checks. Randomization becomes essential to test how encryption behaves under different scenarios. Randomization in data encryption verification ensures that vulnerabilities, such as key reuse or predictable patterns, are identified and mitigated. 1. Random Encryption Keys and Payloads: Randomly varying keys and payloads help validate the correctness of encryption without hardcoding assumptions. This ensures that encryption logic behaves correctly across all possible inputs. 2. Randomized Initialization Vectors (IVs): Many encryption protocols require a unique IV for each transaction. Randomized IVs ensure that encryption does not repeat patterns. To understand the IDE Key management flow, we can follow the below diagram that illustrates a detailed example key programming flow using the IDE_KM protocol. Figure 1: IDE_KM Example As Figure 1 shows, the functionality of the IDE_KM protocol involves Start of IDE_KM Session, Device Capability Discovery, Key Request from the Host, Key Programming to PCIe Device, and Key Acknowledgment. First, the Host starts the IDE_KM session by detecting the presence of the PCIe devices; if the device supports the IDE protocol, the system continues with the key programming process. Then a query occurs to discover the device’s encryption capabilities; it ensures whether the device supports dynamic key updates or static keys. Then the host sends a request to the Key Management Entity to obtain a key suitable for the devices. Once the key is obtained, the host programs the key into the IDE Controller on the PCIe endpoint. Both the host and the device now share the same key to encrypt and authenticate traffic. The device acknowledges that it has received and successfully installed the encryption key and the acknowledgment message is sent back to the host. Once both the host and the PCIe endpoint are configured with the key, a secure communication channel is established. From this point, all data transmitted over the PCIe link is encrypted to maintain confidentiality and integrity. IDE_KM plays a crucial role in distributing keys in a secure manner and maintaining encryption and integrity for PCIe transactions. This key programming flow ensures that a secure communication channel is established between the host and the PCIe device. Hence, the Randomized key approach ensures that the encryption does not repeat patterns. 3. Randomization PHE: Partial Header Encryption (PHE) is an additional mechanism added to Integrity and Data Encryption (IDE) in PCIe 6.0. PHE validation using a variety of traffic; incorporating randomization in APIs provided for validating PHE feature can add more robust Encryption to the data. Partial Header Encryption in Integrity and Data Encryption for PCIe has more detailed information on this. Figure 2: High-Level Flow for Partial Header Encryption 4. Randomization on IDE Address Association Register values: IDE Address Association Register 1/2/3 are supposed to be configured considering the memory address range of IDE partner ports. The fields of IDE address registers are split multiple values such as Memory Base Lower, Memory Limit Lower, Memory Base Upper, and Memory Limit Upper. IDE implementation can have multiple register blocks considering addresses with 32 or 64, different registers sizes, 0-255 selective streams, 0-15 address blocks, etc. This Randomization verification can help verify all the corner cases. Please refer to Figure 2. Figure 3: IDE Address Association Register 5. Random Faults During Encryption: Injecting random faults (e.g., dropped packets or timing mismatches) ensures the system can handle disruptions and prevent data leakage. Challenges of IDE Randomization and its Solution Randomization introduces a vast number of scenarios, making it computationally intensive to simulate every possibility. Constrained randomization limits random inputs to valid ranges while still covering edge cases. Again, using coverage-driven verification to ensure critical scenarios are tested without excessive redundancy. Verifying encrypted data with random inputs increases complexity. Encryption masks data, making it hard to verify outputs without compromising security. Here we can implement various IDE checks on the IDE callback to analyze encrypted traffic without decrypting it. Randomization can trigger unexpected failures, which are often difficult to reproduce. By using seed-based randomization, a specific seed generates a repeatable random sequence. This helps in reproducing and analyzing the behavior more precisely. Conclusion Randomization is a powerful technique in PCIe verification, ensuring robust validation of both data integrity and data encryption. It helps us to uncover subtle bugs and edge cases that a non-randomized testing might miss. In Cadence PCIe VIP, we support full-fledged IDE Verification with rigorous randomized verification that ensures data integrity. Robust and reliable encryption mechanisms ensure secure and efficient data communication. However, randomization also brings various challenges, and to overcome them we adopt a combination of constrained randomization, seed-based testing, and coverage-driven verification. As PCIe continues to evolve with higher speeds and focuses on high security demands, our Cadence PCIe VIP ensures it is in line with industry demand and verify high-performance systems that safeguard data in real-world environments with excellence. For more information, you can refer to Verification of Integrity and Data Encryption(IDE) for PCIe Devices and Industry's First Adopted VIP for PCIe 7.0 . More Information: For more info on how Cadence PCIe Verification IP and TripleCheck VIP enables users to confidently verify IDE, see our VIP for PCI Express , VIP for Compute Express Link for and TripleCheck for PCI Express For more information on PCIe in general, and on the various PCI standards, see the PCI-SIG website .

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The world of electronics design thrives on efficient tools that bridge the gap between concept and silicon. Virtuoso Digital Implementation is a powerful ally for mixed-signal designs, which integrate both analog and digital components. This blog post will examine Virtuoso Digital Implementation's capabilities and explore how it can streamline your mixed-signal design workflow.

Virtuoso Digital Implementation in a Nutshell

Virtuoso Digital Implementation is a license package within the Cadence Virtuoso Design Platform. It offers a streamlined RTL-to-GDSII flow to implement smaller digital blocks within a mixed-signal design environment. Here's what makes Virtuoso Digital Implementation stand out:

• Focus on Small Digital Blocks: Optimized for digital blocks with an instance count of up to 50,000 (expandable to 150,000 with specific configurations), Virtuoso Digital Implementation is ideal for integrating digital logic into your analog-centric design.
• Leveraging Industry Leaders: Virtuoso Digital Implementation utilizes cut-down versions of the renowned Cadence Genus Synthesis Solution and Innovus Implementation System under the hood. This ensures you get access to proven technologies for logic optimization and place-and-route.
• Seamless Integration with the Virtuoso Environment: Virtuoso Digital Implementation's key advantage is its tight integration with the Virtuoso Layout Suite. You can launch the synthesis and place-and-route tools directly from the Virtuoso environment, eliminating the need to switch between platforms.

Benefits of Using Virtuoso Digital Implementation

 By incorporating Virtuoso Digital Implementation into your mixed-signal design flow, you can get several benefits:

• Simplified Workflow: Virtuoso Digital Implementation offers a centralized environment for both digital block implementation and layout editing within the Virtuoso environment. This reduces context switching and streamlines the design process.
• Faster Time-to-Market: Virtuoso Digital Implementation's streamlined workflow can significantly reduce design turnaround times, allowing you to get your product to market quicker.
• Improved Design Quality: Leveraging industry-leading synthesis and place-and-route engines from Cadence ensures high-quality digital block implementation within your mixed-signal design.

Who Should Consider Virtuoso Digital Implementation?

 Virtuoso Digital Implementation is a valuable tool for anyone working on mixed-signal designs with smaller digital blocks. It's particularly well-suited for:

• Analog IC designers who need to integrate digital logic into their designs.
• Circuit design teams working on mixed-signal applications like data converters, power management ICs, and RF transceivers.

Virtuoso Digital Implementation provides a compelling solution for designers working on mixed-signal projects. Its streamlined workflow, tight integration with the Virtuoso design platform, and access to proven digital design tools can significantly improve design efficiency and time-to-market. Virtuoso Digital Implementation is worth considering if you're looking to optimize your mixed-signal design flow.

I am here to help and guide you on how to learn more about Virtuoso Digital Implementation flow.

Welcome to Virtuoso Digital Implementation, an online course recently released. This course teaches implementing digital blocks using Cadence tools based on the Virtuoso Digital Implementation flow. Also, you can download a lab database after the lecture and get hands-on experience in each stage.

Want to Enroll in this Course?

We organize this Virtuoso Digital Implementation training for you as a "Blended" or "Live" training. Please reach out to Cadence Training for further information.

Register for the Online Training with the following steps:

• Log on to cadence.com with your registered Cadence ID and password.
• Select Learning from the menu > Online Courses.
• Search for Virtuoso Digital Implementation using the search bar.
• Select the course and click Enroll.

And don't forget to obtain your Digital Badge after completing the training!

Related Resources

Online Courses

• Cadence RTL-to-GDSII Flow v6.0
• Virtuoso Digital Implementation Training

Training Byte Videos

• How Do You Run Placement Optimization in the Innovus Implementation System?
• How to Run the Synthesis Without DFT?
• How to Run the Synthesis Flow with DFT?
• Creating Power Rings, Power Stripes, and Power Rails in the Innovus Implementation System
• How to Run Power Analysis and Analyze the Results in Innovus?

Happy Learning!

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