Attorney General Jennings announced today that Delaware, along with 32 other attorneys general, has reached a settlement with healthcare clearinghouse Inmediata for a coding issue that exposed the protected health information (“PHI”) of approximately 1.5 million consumers for almost three years. Under the settlement, Inmediata has agreed to overhaul its data security and breach notification […]

WILMINGTON – A call center has been set up to provide assistance to impacted users of Delaware Job Link whose personal information may have been part of a data breach of the American JobLink (AJL) Alliance website two weeks ago. Any past user of the Delaware JobLink website can access the call center by dialing […]

Grant will help Delaware support high-risk youth and families in Wilmington, and bolster work of Family Services Cabinet Council WILMINGTON, Del. – Governor John Carney announced on Wednesday that Delaware has received an 18-month training and technical assistance grant from the University of Pennsylvania’s Actionable Intelligence for Social Policy (AISP) Integrated Data System Learning Community […]

DOVER, DE (Jan. 21, 2022) – The Delaware Division of Public Health (DPH) is providing an update on the most recent statistics related to coronavirus disease 2019 (COVID-19) in Delaware, as of Thursday, Jan 20, 2022. DPH reports a welcomed decrease in new positive cases and hospitalizations over the last week, however, both cases and hospitalizations […]

DOVER (Oct. 21, 2022) – The Delaware Division of Developmental Disabilities Services is announcing today that it is mailing letters to service recipients and legal guardians who were impacted by a recent data breach incident and is providing information to the public regarding the incident. On August 23, 2022, staff within the Division of Developmental […]

DOVER, DE (Nov. 9, 2022) – The Delaware Division of Public Health (DPH) is announcing the launch of the My Healthy Community (MHC) influenza (flu) dashboard, which shares weekly as well as seasonal data on positive cases, hospitalizations, deaths, and for the first time, vaccinations in the state. The dashboard is intended to provide an accurate […]

DOVER, DE (Dec. 15, 2022) – The Delaware Division of Public Health (DPH) is providing several key updates related to COVID-19 data and vaccines.  According to the most recent data on the state’s My Healthy Community data dashboard, the statewide 7-day average of new positive COVID-19  cases has increased slightly following Thanksgiving and other gatherings over the past month. Hospitalizations have also increased. As holiday travel […]

DOVER, DE (Jan. 3, 2023) – Through the Centers for Disease Control and Prevention’s State Unintentional Drug Overdose Reporting System (SUDORS), Delaware was recently among 47 states to contribute data to the CDC’s Dec. 16, 2022, Morbidity and Mortality Weekly Report, titled “Drug Overdose Deaths Among Persons Aged 10-19 Years – United States, July 2019-December 2021.” The Division of Public Health (DPH) utilizes SUDORS to track available trends and characteristics of […]

CostAware Compares Health Care Costs Based on Delaware Medical Claims NEW CASTLE (March 3, 2023) – The Delaware Department of Health and Social Services (DHSS) announced today the launch of a new version of its CostAware website, designed to help Delawareans understand how their health care dollars are spent by comparing the variation of average […]

In collaboration with the Delaware Division of Forensic Science (DFS), the Delaware Division of Public Health (DPH) announces the addition of suspected drug overdose death counts to the agency’s publicly available My Healthy Community (MHC) data dashboard. These data can be viewed on the Drug Overdose Deaths tab within the Mental Health and Substance Use Disorder section of MHC. […]

The Delaware Division of Public Health (DPH), in collaboration with the Delaware Division of Professional Regulation (DPR), announces important updates to the Mental Health and Substance Use Disorder section of the My Healthy Community (MHC) Dashboard.  These updates are located within this section’s Prescription Monitoring Program (PMP) tab and present trends in prescription drug dispensing in Delaware. The […]

Data science continues to be a pivotal force driving innovation across industries. From enhancing customer experiences to optimizing operational efficiencies, the role of data science is expanding, bringing with it new challenges and opportunities. This article explores the emerging trends and technologies that are shaping the future of data science [...]

The future of data science: 7 emerging trends and technologies to watch was published on SAS Voices by Iain Brown

AI is no longer a futuristic concept – it’s a mainstay in our daily lives, both personally and professionally. In the business world, AI is revolutionizing workflows, driving efficiency and speeding up processes. However, as organizations rush to benefit from this modern technology, they must prioritize the ethical and transparent [...]

Critical areas for productivity gains with data and AI was published on SAS Voices by Manisha Khanna

Everyone has heard it: Your organization needs to be more productive. But how? Businesses are constantly challenged with adopting AI technology, managing rising costs and closing talent gaps. While AI can boost performance, the need for faster, more performant models is often stymied by inefficient handoffs between key roles within [...]

How to transform data and AI teams for greater productivity was published on SAS Voices by Lindsay Marshall

"Generative AI (GenAI) initiatives should support broader public goals and needs," says SAS' Ensley Tan. While governments recognize GenAI's potential to improve operational efficiency and citizen experience, there is more to it than setting up projects and expecting them to work. Tan, SAS Asia-Pacific Lead for Public Sector Consulting, said public [...]

From data to delivery: How GenAI will shape the future of public service was published on SAS Voices by Lucy Chan

Halloween is one of my favorite times of the year – I'm a Halloween enthusiast. It’s a time for spine-tingling thrills, haunted tales and lots of candy corn. But there’s one fear lurking in the shadows that sends shivers down the spines of data scientists, IT leaders and executives alike, [...]

Tricks, treats and tech: Don't let your data scare you was published on SAS Voices by Udo Sglavo

For beginners, how marketers can learn to create advanced data models from time series data

Advanced analytics programs can incorporate geospatial data. Learn how such data can be used to augment local marketing plans

State Crash Data Now Available to Public Through Open Data Portal   Searching Delaware crash data is now as easy and convenient as logging on to the State’s Open Data Portal. “The crash data portal helps us give drivers the information they want and it is our hope that with this information, our citizens will […]

DOVER, DEL. (July 8, 2024) – The Delaware Division of Public Health (DPH) invites the public to explore My Healthy Community, a platform for Delaware’s environmental health data, during National Environmental Public Health Tracking Awareness Week. This annual observance, from July 8 to July 12, is dedicated to empowering communities to use heath data to […]

On July 1st, the Delaware Department of Justice’s Consumer Protection Unit launched a new personal data privacy portal, privacy.delaware.gov, as a navigational tool for parents, consumers and businesses that handle Delawareans’ personal data to help prepare for the upcoming implementation of the Delaware Personal Data Privacy Act (DPDPA), which goes into effect in January 2025. […]

Filings and affordability standard reporting reviewed by Department, consumers continue to benefit from increased competition, Inflation Reduction Act, and 1332 Reinsurance Waiver After welcoming new entrants for two consecutive years, the Delaware Health Insurance Marketplace is experiencing stability in carriers, plans, and rates for the 2025 plan year. Consumers will choose from 45 plans offered […]

Attorney General Kathy Jennings today announced that a coalition of 50 Attorneys General has reached a settlement with Marriott International, Inc. as the result of a multi-year data breach of one of its guest reservation databases. Under the settlement, Marriott has agreed to strengthen its data security practices using a dynamic risk-based approach, provide certain […]

No matter what your brand's level of marketing maturity is, SAS can help you move from data to insight to action with rich functionality for adaptive planning, journey activation and an embedded real-time decision engine – all fueled by powerful analytics and artificial intelligence (AI) capabilities. Let's begin with a [...]

SAS Customer Intelligence 360: Introduction to marketing data management was published on Customer Intelligence Blog.

Customer data platforms (CDPs), data management platforms (DMPs), people-based marketing, identity graphs, and more overlapping topics represent an important ingredient of any martech brainstorming session in 2020. As your brand spreads out across touchpoints — from web to mobile applications, as well as call centers, email and direct mail — [...]

SAS Customer Intelligence 360: Identity management, profiling and unified data model for hybrid marketing was published on Customer Intelligence Blog.

Over the last 20+ years, global society has adopted digital devices at scale, and consumer interaction behaviors continually evolve and mature. As analysts, we're uniquely positioned to notice worldwide trends, country-specific nuances and localized market behaviors that can have significant impact on our brand's business goals. This global scope is [...]

SAS Customer Intelligence 360: Enriching analysis with device usage data was published on Customer Intelligence Blog.

Everything happens somewhere, and much of our customer data includes location information. Websites include x, y coordinates in semi-structured click streams, and the mobile apps your prospects depend on frequently support device location to provide a personalized, targeted experience. As my SAS peer Robby Powell said: "Human brains are hardwired [...]

SAS Customer Intelligence 360: Data visualization, location analytics and geospatial insights was published on Customer Intelligence Blog.

September honors Recovery Month, emphasizing hope for recovery in behavioral health, especially from substance use disorders (SUD). A key motto of Recovery Month is that Recovery Happens, helping people know that even at rock bottom, things can improve.  We all need that hope at various points in our lives. Often, [...]

The post Data provides hope: Honoring Recovery Month  appeared first on Government Data Connection.

Government employees charged with monitoring environmental compliance face a downpour of information, wading through countless reports and stacks of paperwork to accomplish their mission. To help these dedicated public servants increase productivity, agencies should consider a broader set of tools to control pollution, enforce regulations and improve compliance. Although foundational [...]

The post Time for government agencies to embed data and AI into environmental compliance appeared first on Government Data Connection.

Read the in depth Review of ADATA XPG PRECOG Gaming. Know detailed info about ADATA XPG PRECOG configuration, design and performance quality along with pros & cons, Digit rating, verdict based on user opinions/feedback.

I am gratified to see the continuing adoption of Forecast Value Added by organizations worldwide. FVA is an easy to understand and easy to apply approach for identifying bad practices in your forecasting process. And I'm particularly gratified to see coverage of FVA in two new books, which the authors [...]

The post Vandeput's Data Science for Supply Chain Forecasting (book excerpt) appeared first on The Business Forecasting Deal.

Learn why integrating EHR data with pharmacy and claims data improves patient care.

The post Closing data gaps to promote integrated health care appeared first on The Data Roundtable.

Learn why a data catalog is so valuable in helping you find and use big data at your business.

The post What is a data catalog – and why do you need one? appeared first on The Data Roundtable.

Ready to turn big data into big business insights? Look to the cloud.

The post Why it's hard to say "big data" without saying "cloud" appeared first on The Data Roundtable.

Jim Harris takes a deep dive into data lakes and how they relate to the cloud.

The post Get the scoop on data lake vs cloud appeared first on The Data Roundtable.

Some businesses overlook alternative data. That's probably a mistake.

The post Alternative data may feel risky: Here's why it's not appeared first on The Data Roundtable.

Atlas Biomed's website is no longer active and the phone number listed is dead as well.

The demand for higher-performance computing is greater than ever. Cutting-edge applications in artificial intelligence (AI), big data analytics, and databases require high-speed memory systems to handle the ever-increasing volumes and complexities of data. Advancements in cloud computing and machine virtualization are stretching the limits of current capabilities. AI applications hosted in the cloud rely on fast access and reduced latency in memory systems, which is amplified by an increasing number of CPU and GPU cores.

Introducing the DDR5 Multiplexed Rank DIMM (MRDIMM), the next-generation memory module technology designed to meet the needs of high-performance computing (HPC) and AI in cloud applications. By leveraging existing DDR5 DRAM memory devices, MRDIMM modules not only double the DRAM data rate but also maintain the RAS capabilities of the industry-proven RDIMM modules, setting a new precedent for memory module performance.

Let’s compare RDIMM and MRDIMM modules using the same DRAM parts. Today, high-speed production DDR5 RDIMM modules run at 5600Mbps. Those modules use DDR5 DRAM parts, which also run at 5600Mbps. An MRDIMM module using the same DDR5 5600Mbps DRAM parts will run at a blazing 11.2Gbps.

One key metric for best-in-class performance, low bit error rate (BER), and ease of adoption is the eye diagram. The eye diagram illustrates at-speed system margin and accurately represents DDR system quality when captured with a pseudo-random binary sequence (PRBS)-like pattern. The diagram below illustrates Cadence’s 3nm silicon write eye diagram for DDR5 MRDIMM IP running at 12.8Gbps.

Cadence 3nm DDR5 MRDIMM 12.8Gbps test chip write eye diagram, design kit is available today

The eye diagram is captured using a PRBS-like pattern, incorporating a package and system board representative of a typical MRDIMM channel. Using PRBS-like patterns is crucial for capturing accurate eye diagrams. Repetitive clock-like data patterns create deceptively “open eyes” that do not reflect the real system performance. Effects like intersymbol interference, simultaneous switching, reflections, and crosstalk are not accurately reflected in the eye diagrams for parallel interfaces like DDR using non-random data streams. Relying on improperly captured eye diagrams inevitably leads to a significantly worse real system BER than conveyed by that eye diagram.

Doubling the DDR5 RDIMM data rate is challenging. Achieving high performance while optimizing for area and power requires multiple design techniques. Feed-forward equalization (FFE), decision feedback equalization (DFE), continuous-time linear equalization (CTLE), and T-coils are required to reach 12.8Gbps MRDIMM data rates in multi-channel systems. Building a production-worthy 12.8Gbps DDR5 MRDIMM IP requires engineering expertise that comes from many generations of memory interface design and production experience. Cadence has developed this expertise through multiple DDR5/4, LPDDR5X/5, and GDDR6 designs in different technology nodes and foundries. For instance, Cadence’s GDDR6 IP is available in three foundries and ten process nodes, with mass production at speeds exceeding 22Gbps.

For your next project, consider DDR5 12.8Gbps MRDIMM, a technology that not only doubles the bandwidth of DDR5 RDIMM but also promises rapid proliferation into next-generation AI, data center, HPC, and enterprise applications. With its cutting-edge capabilities, the Cadence DDR5 12.8Gbps MRDIMM IP is ready to power the future of computing.

Hi,

I want to define a procedure that with @key, and I also want to restrict the variable's datatype, I tried with folloing but I received error in CIW

procedure(tt(handler @key str1 str2 "ssS")
  printf("handler: %L " handler)
)

tt('test)

The error is like: *Error* tt: argument for keyword ?str1 should be a symbol (type template = "ssS") at line 11 of file

Thanks,

James

Data sets are a powerful and easy-to-use feature in Microwave Office. Data can be effortlessly be swapped in graphs, and circuit schematics.(read more)

With the DRAM fabrication advancing from 1x to 1y to 1z and further to 1a, 1b and 1c nodes along with the DRAM device speeds going up to 8533 for Lpddr5/8800 for DDR5, Data integrity is becoming a really important issue that the OEMs and other users have to consider as part of the system that relies on the correctness of data being stored in the DRAMs for system to work as designed.

It’s a complicated problem that requires multiple ways to deal with it.

Traditionally one of the main approaches to deal with data errors is to rely on the ECC. ECC requires additional memory storage in which the ECC codes will calculated and stored at the time of memory write to DRAM. These codes will be read back along with the memory data during to the reads and checked against the data to make sure that there are no errors. Typical ECC schemes use Hamming code that provide for single bit error correction and double bit error detection per burst. Also, while several of previous generation of DRAM required Host to keep aside system memory for ECC storage latest DRAMs like Lpddr5 and DDR5 support on die ECC as part of the normal DRAM function that can be enabled using mode registers. DDR5 further requires Host to run through an ECC Error Check and Scrub (ECS) cycle on an average every tECSint time (Average Periodic ECS Interval) to prevent data errors.

Not meeting the DRAM Refresh requirement is a major reason that can lead to loss of data. This could be challenging as the PVT variation can cause the refresh requirement to change over time. Putting the DRAM in Self Refresh mode can help off-loading Refresh tracking responsibilities to DRAM but may prevent Host to do other scheduling optimizations and should be carefully considered.

Some of the other things that can affect the DRAM data are

1. Row hammer where same or adjacent rows are activated again and again leading to loss or changing of data contents in the rows that has not being addressed. Latest DRAMs like Lpddr5/Ddr5 support Refresh Management (including DRFM and ARFM) that allows the Host to compensate for these problems by issuing dedicated RFM commands helping DRAMs deals with potential Data loss issues arising out of Row hammer attacks.
2. Device temperature is another important factor that the Host needs to be aware of and if the application requires DRAM to operate at elevated temperature. The user needs to check with DRAM Vendor on the temperature range that DRAM can still operate. Data integrity at thresholds greater than certain temperature is not assured regardless of refresh rate unless DRAM is manufactured to withstand that.
3. Loss of power to DRAM will cause DRAM to lose all its contents. If this is a real concern for the system designer, they should consider using NVDIMM-N devices which has an onchip controller and a power source which is just enough to allow the DRAM contents to be copied into a backup non-volatile memory before power is lost. When the power is stored back, the stored memory contents in the non-volatile memory will be written back to the DRAM and system can continue to operate as it was before the power loss event occurred.

For transmissions and manufacturing errors DRAMs support additional features like CRC, DFE, Pre-Emphasis and PPR which will be covered in the next blog.

Cadence MMAV VIPs for DDR5/DDR5 DIMM and LPDDR5 are compressive VIP solutions and supports all of the above-listed Data integrity features including support for ECC error injection and SBE correction/DBE detection to assist with the verification challenges dealing with data integrity issues.

More information on Cadence DDR5/LPDDR5 VIP is available at Cadence VIP Memory Models Website.

Shyam 

Ensuring that the RTL designs correctly implement the C++ algorithmic intent in every circumstance is difficult to achieve with conventional verification. Learn more how Jasper C2RTL App helps to perform equivalence checking with 100x performance improvement(read more)

The DBDoctor application checks the database for errors and other problems, and presents a report about them. DBDoctor supports .brd, .mcm, .mdd, .psm, .dra, .pad, .sav, and .scf databases.

DBDoctor can:

• Analyze and fix database problems.
• Eliminate duplicate vias.
• Perform batch design rule checking (DRC).
• Upgrade databases more than one revision old.

To verify the integrity of a drawing database at any time during the design cycle, run DBDoctor at regular intervals but make sure you always run it after completing a design.

You can run DBDoctor to verify work in progress, or from a terminal window outside the layout editor, perhaps to check multiple input designs in batch mode by using wildcards and various switches. You do not have to run the layout editor to use DBDoctor.

To run this from Allegro X APD and Allegro PCB Editor, go to Tools > Database Check.

You can also go to the Start menu and select Cadence PCB Utilities 2023 > PCB DB Doctor 2023.

You can also use the following command to run DBDoctor in batch mode in the system command prompt:

dbdoctor [-check_only] [-drc] [-drc_only] [-shapes][-no_backup] [-outfile <newboardname.brd>]>

Comment below if you want to know more about this command and its integration with SKILL programming!!

Cadence PCIe/CXL VIP support for Partial Header Encryption in Integrity and Data Encryption.(read more)

The demand for higher compute performance, energy efficiency, and faster time-to-market drove the conversations at this year's Open Compute Project (OCP) Global Summit in San Jose, California. It was the scene of showcasing groundbreaking innovations, expert-led sessions, and networking opportunities to drive the future of data center technology. For those who didn't get to attend or stop by our booth, here's a recap of Cadence's comprehensive solutions that enable next-generation compute technology, AI data center design, analysis, and optimization. Optimized Data Center Design and Operations As the data center community increasingly faces demands for enhanced efficiency, thermal management, sustainability, and performance optimization, data center operators, IT managers, and executives are looking for solutions to these challenges. At the Cadence booth, attendees explored the Cadence Reality Digital Twin Platform and Celsius EC Solver. These technologies are pivotal in achieving high-performance standards for AI data centers, providing advanced digital twin modeling capabilities that redefine next-generation data center design and operation. The Celsius EC Solver demonstration showed how it solves challenging thermal and electronics cooling management problems with precision and speed. CadenceCONNECT: Take the Heat Out of Your AI Data Center Cadence hosted a networking reception on October 16 titled "Take the Heat Out of Your AI Data Center." In today's AI era, managing the heat generated by high-density computing environments is more critical than ever. This reception offered insights into current and emerging data center technologies, digital twin cooling strategies that deliver energy-saving operations, and a chance to engage with industry leaders, Cadence experts, and peers to explore the latest cooling, AI, and GPU acceleration advancements. Here's a recap: Researcher, author, and entrepreneur Dr. Jon Koomey highlighted the inefficiency of data centers in his talk "The Rise of Zombie Data Centers," noting that 20-30% of their capacity is stranded and unused. He advocated for organizational changes and technological solutions like digital twins to reduce wasted energy and improve computational effectiveness as AI deployments increase. In "A New Millennium in Multiphysics System Analysis," Cadence Corporate VP Ben Gu explained the company's significant strides in multiphysics system analysis, evolving from chip simulation to a broader application of computational software for simulating various physical systems, including entire data centers. He noted that the latest Cadence venture, a digital twin platform for data center optimization, opened the opportunity to use simulation technology to optimize the efficiency of data centers. Senior Software Engineering Group Director Albert Zeng highlighted the Cadence Reality DC suite's ability to transform data center operations through simulation, emphasizing its multi-phase engine for optimal thermal performance and the integration of AI capabilities for enhanced design and management. A panel discussion titled "Turning AI Factory Blueprints into Reality at the Speed of Light" featured industry experts from NVIDIA, Norman Wright Precision Environmental and Power, NV5, Switch Data Centers, and Cadence, who explored the evolving requirements and multidimensional challenges of AI factories, emphasizing the need for collaboration across the supply chain to achieve high-performing and sustainable data centers. Watch the highlights. Transforming Designs from Chips to Data Centers The OCP Global Summit 2024 has reaffirmed its status as a pivotal event for data center professionals seeking to stay at the forefront of technological advancements. Cadence's contributions, from groundbreaking digital twin technologies to innovative cooling strategies, have shed light on the path forward for efficient, sustainable data centers. For data center professionals, IT managers, and engineers, the insights gained at this summit are invaluable in navigating the challenges and opportunities presented by the burgeoning AI era. Partnering with Arm Arm Total Design Cadence is a member of the Arm Total Design program. At an invitation-only special Arm event, Cadence's VP of Research and Development, Lokesh Korlipara, delivered a presentation focusing on data center challenges and design solutions with Arm Neoverse Compute Subsystem (CSS). The session highlighted: Efficient integration of Arm Neoverse CSS into system on chips (SoCs) with pre-integrated connectivity IP Performance analysis and verification of the Neoverse CSS integration into the SoC through Cadence's System VIP verification suite and automated testbench creation, enhancing both quality and productivity Jumpstarting designs through Cadence's collaboration with Arm for 3D-IC system planning, chiplets, and interposers Design Services readiness and global scale to support and/or deliver the most demanding Arm Neoverse CSS-based SoC design projects Cadence Supports Arm CSS in Arm Booth During the event, Cadence conducted a demo in the Arm booth that showcased the Cadence System VIP verification suite. The demo highlighted automated testbench creation and performance analysis for integrating the Arm CSS into SoCs while enhancing verification quality and productivity. Summary Cadence offers data center solutions for designing everything from the compute and networking chips to the board, racks, data centers, and campuses. Stay connected with Cadence and other industry leaders to continue exploring the innovations set to redefine the future of data centers. Learn More Cadence Joins Arm Total Design Cadence Arm-Based Solutions Cadence Reality Digital Twin Platform

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 .

Hi All

I am looking for the functions which are different about OrCAD Professional and Allegro tier.

is there any resource?

regard

Hi,

I have a question about printing noise summary via maestro output expressions.

How can I print noise data using output expressions, for multiple levels of the hierarchy?

I have found this article which describe the procedure using ocnGenNoiseSummary() function: https://support.cadence.com/apex/ArticleAttachmentPortal?id=a1Od0000007MViHEAW&pageName=ArticleContent

I see also Andrew Beckett referring to the above mentioned article as a solution to a similar question: community.cadence.com/.../noise-summary-per-instance

However, this seems to work only if I'm to extract noise data from a single level of hierarchy.

If I have the output expression "ocnGenNoiseSummary(2 ?result 'hbnoise)", it will generate a "noisesummary" directory under results directory for a hierarchy level of 2.

If I am to extract data from various hierarchy levels, I should be able to generate multiple noise summary directories, such as noisesummary1, noisesummary2 where they correspond to "ocnGenNoiseSummary(1 ?result 'hbnoise)" & "ocnGenNoiseSummary(2 ?result 'hbnoise)", respectively. However this does not seem to be possible.

Can you please advice? Thanks.

My Cadence version: IC23.1-64b.ISR7.27

BR,

Denizhan Karaca

The silkscreen layer plays a crucial role in the assembly, repair, and testing of a PCB. You can add a variety of information to this layer, such as the location of the components, polarity, component orientation, on-off switches, LEDs, and testpoint...(read more)

Hi,
My Virtuoso and Spectre Version: ICADVM20.1-64b.NYISR30.2
I plot an eye diagram using a built in function. I want to see the data-dependent jitter. I want to measure the eye diagram edges at zero crossing (width of that diamond part) shown in the pic by vertical and horizontal markers. I can put a marker and read the numbers there and get what I want. But now I want to run Monte Carlo and I can't do this for all samples. I wish I could write an expression for this. Unfortunately, I see that the function "cross" is not working on the eye diagram. Basically, when I send the eye diagram data to a table, I see that it actually is just the prbs data and not the eye diagram data. Is there a hack that can help me achieve my goal which is: having an expression to measure the edges of the eye diagram at zero crossing?
There is a script that Andrew wrote (https://support.cadence.com/wps/mypoc/cos?uri=deeplinkmin%3AViewSolution%3BsolutionNumber%3D11395772). This is a good script but it puts all edges on top of each other. I want to distinguish the two edges. In the attached pic (two-period eye diagram) you can see what I mean by the two edges (diamond shapes). I want to measure each of the two and take the maximum. Having all the edges on top of each other won't give me what I want. All edges together will lso include DCD. I purely want to measure DDJ. DCD is measured separately. I have very little experience with writing scripts and could not modify Andrew's script.
Your help is much appreciated. Thank you.