gen

New Taiwan Dollar(TWD)/Argentine Peso(ARS)

1 New Taiwan Dollar = 2.2264 Argentine Peso



  • New Taiwan Dollar

gen

Thai Baht(THB)/Argentine Peso(ARS)

1 Thai Baht = 2.076 Argentine Peso




gen

Turkish Lira(TRY)/Argentine Peso(ARS)

1 Turkish Lira = 9.3768 Argentine Peso




gen

Singapore Dollar(SGD)/Argentine Peso(ARS)

1 Singapore Dollar = 47.0537 Argentine Peso




gen

Norris on Pagenaud beef: Selfish to treat esports as just a game

Lando Norris talks to the ESPN F1 Podcast on the weekend's controversial iRacing collision with Simon Pagenaud and why he feels esports deserves to be treated with more respect having grown in stature this year.




gen

Mauritian Rupee(MUR)/Argentine Peso(ARS)

1 Mauritian Rupee = 1.6739 Argentine Peso




gen

Nepalese Rupee(NPR)/Argentine Peso(ARS)

1 Nepalese Rupee = 0.5497 Argentine Peso




gen

Bangladeshi Taka(BDT)/Argentine Peso(ARS)

1 Bangladeshi Taka = 0.7821 Argentine Peso




gen

Moldovan Leu(MDL)/Argentine Peso(ARS)

1 Moldovan Leu = 3.7279 Argentine Peso




gen

Colombian Peso(COP)/Argentine Peso(ARS)

1 Colombian Peso = 0.0171 Argentine Peso




gen

Uruguayan Peso(UYU)/Argentine Peso(ARS)

1 Uruguayan Peso = 1.5409 Argentine Peso




gen

Uzbekistan Som(UZS)/Argentine Peso(ARS)

1 Uzbekistan Som = 0.0066 Argentine Peso




gen

Russian Ruble(RUB)/Argentine Peso(ARS)

1 Russian Ruble = 0.9056 Argentine Peso




gen

Iraqi Dinar(IQD)/Argentine Peso(ARS)

1 Iraqi Dinar = 0.0559 Argentine Peso




gen

Cayman Islands Dollar(KYD)/Argentine Peso(ARS)

1 Cayman Islands Dollar = 79.7461 Argentine Peso



  • Cayman Islands Dollar

gen

Swiss Franc(CHF)/Argentine Peso(ARS)

1 Swiss Franc = 68.4594 Argentine Peso




gen

CFA Franc BCEAO(XOF)/Argentine Peso(ARS)

1 CFA Franc BCEAO = 0.1099 Argentine Peso



  • CFA Franc BCEAO

gen

Vietnamese Dong(VND)/Argentine Peso(ARS)

1 Vietnamese Dong = 0.0028 Argentine Peso




gen

Macedonian Denar(MKD)/Argentine Peso(ARS)

1 Macedonian Denar = 1.1697 Argentine Peso




gen

Zambian Kwacha(ZMK)/Argentine Peso(ARS)

1 Zambian Kwacha = 0.0128 Argentine Peso




gen

South Korean Won(KRW)/Argentine Peso(ARS)

1 South Korean Won = 0.0545 Argentine Peso



  • South Korean Won

gen

Jordanian Dinar(JOD)/Argentine Peso(ARS)

1 Jordanian Dinar = 93.6891 Argentine Peso




gen

Lebanese Pound(LBP)/Argentine Peso(ARS)

1 Lebanese Pound = 0.0439 Argentine Peso




gen

Bahraini Dinar(BHD)/Argentine Peso(ARS)

1 Bahraini Dinar = 175.7707 Argentine Peso




gen

Chilean Peso(CLP)/Argentine Peso(ARS)

1 Chilean Peso = 0.0805 Argentine Peso




gen

Maldivian Rufiyaa(MVR)/Argentine Peso(ARS)

1 Maldivian Rufiyaa = 4.2875 Argentine Peso




gen

Malaysian Ringgit(MYR)/Argentine Peso(ARS)

1 Malaysian Ringgit = 15.3374 Argentine Peso




gen

Nicaraguan Cordoba Oro(NIO)/Argentine Peso(ARS)

1 Nicaraguan Cordoba Oro = 1.9321 Argentine Peso



  • Nicaraguan Cordoba Oro

gen

Netherlands Antillean Guilder(ANG)/Argentine Peso(ARS)

1 Netherlands Antillean Guilder = 37.0281 Argentine Peso



  • Netherlands Antillean Guilder

gen

Estonian Kroon(EEK)/Argentine Peso(ARS)

1 Estonian Kroon = 4.6607 Argentine Peso




gen

Danish Krone(DKK)/Argentine Peso(ARS)

1 Danish Krone = 9.6605 Argentine Peso




gen

Fiji Dollar(FJD)/Argentine Peso(ARS)

1 Fiji Dollar = 29.5036 Argentine Peso




gen

New Zealand Dollar(NZD)/Argentine Peso(ARS)

1 New Zealand Dollar = 40.8009 Argentine Peso



  • New Zealand Dollar

gen

Croatian Kuna(HRK)/Argentine Peso(ARS)

1 Croatian Kuna = 9.5802 Argentine Peso




gen

Peruvian Nuevo Sol(PEN)/Argentine Peso(ARS)

1 Peruvian Nuevo Sol = 19.5563 Argentine Peso



  • Peruvian Nuevo Sol

gen

Dominican Peso(DOP)/Argentine Peso(ARS)

1 Dominican Peso = 1.2077 Argentine Peso




gen

Papua New Guinean Kina(PGK)/Argentine Peso(ARS)

1 Papua New Guinean Kina = 19.3777 Argentine Peso



  • Papua New Guinean Kina

gen

Brunei Dollar(BND)/Argentine Peso(ARS)

1 Brunei Dollar = 47.0351 Argentine Peso




gen

Extrowords #102: Generalissimo 73

Sample clues

5 across: The US president’s bird (3,5,3)

11 down: Group once known as the Quarrymen (7)

10 across: Cavalry sword (5)

19 across: Masonic ritual (5,6)

1 down: Pioneer of Ostpolitik (6)

Extrowords © 2007 IndiaUncut.com. All rights reserved.
India Uncut * The IU Blog * Rave Out * Extrowords * Workoutable * Linkastic




gen

Extrowords #103: Generalissimo 74

Sample clues

14 across: FDR’s baby (3,4)

1 down: A glitch in the Matrix? (4,2)

4 down: Slanted character (6)

5 down: New Year’s venue in New York (5,6)

16 down: Atmosphere of melancholy (5)

Extrowords © 2007 IndiaUncut.com. All rights reserved.
India Uncut * The IU Blog * Rave Out * Extrowords * Workoutable * Linkastic




gen

Extrowords #104: Generalissimo 74

Sample clues

6 across: Alejandro González Iñárritu’s breakthrough film (6,6)

19 across: Soft leather shoe (8)

7 down: Randroids, for example (12)

12 down: First American World Chess Champion (7)

17 down: Circle of influence (5)

Extrowords © 2007 IndiaUncut.com. All rights reserved.
India Uncut * The IU Blog * Rave Out * Extrowords * Workoutable * Linkastic




gen

Extrowords #105: Generalissimo 75

Sample clues

5 across: Robbie Robertson song about Richard Manuel (6,5)

2 down: F5 on a keyboard (7)

10 across: Lionel Richie hit (5)

3 down: ALTAIR, for example (5)

16 down: The problem with Florida 2000 (5)

Extrowords © 2007 IndiaUncut.com. All rights reserved.
India Uncut * The IU Blog * Rave Out * Extrowords * Workoutable * Linkastic




gen

Extrowords #106: Generalissimo 76

Sample clues

9 across: Van Morrison classic from Moondance (7)

6 down: Order beginning with ‘A’ (12)

6 across: Fatal weakness (8,4)

19 across: Rolling Stones classic (12)

4 down: Massacre tool (8)

Extrowords © 2007 IndiaUncut.com. All rights reserved.
India Uncut * The IU Blog * Rave Out * Extrowords * Workoutable * Linkastic




gen

Cadence Genus Synthesis Solution – the Next Generation of RTL Synthesis

Physical synthesis has been around in various forms for many years. The basic idea is to bring some awareness of physical layout into synthesis. This week (June 3, 2015) Cadence is rolling out the Genus™ Synthesis Solution, a next-generation RTL synthesis tool that takes physical awareness in some new directions.

Here are four important things to know about Genus technology:

  • A massively parallel architecture improves turnaround time by up to 5X while maintaining quality of results
  • The Genus solution synthesizes up to 10M+ instances flat without impacting power, performance and area (PPA)
  • The Genus solution provides tight correlation with the Innovus Implementation System, using the same placement and routing algorithms
  • Globally focused PPA optimization saves up to 20% datapath area and power

Compared to previous-generation products such as the Cadence Encounter RTL Compiler Advanced Physical Option, the Genus solution approaches physical synthesis in a different way. The Encounter solution applied physical optimization “at the tail end of synthesis,” said David Stratman, senior principal product manager at Cadence. “We were doing a final incremental push, but we could only do so much, since we had locked in a lot of the earlier steps from a logical-only synthesis perspective.”

Genus Synthesis Solution supports the physical synthesis features in the previous Encounter solution, but it also brings the full physical scope upstream to RTL logic designers. “It’s going to enable the unit-level RTL designer to gain the benefits of physical synthesis without having to understand it,” Stratman said. As an example, users can apply generic (unmapped) placement at the earliest stages of synthesis, using a lightweight version of the Innovus placement engine. The bottom line: “Genus is a full solution where every step of synthesis can be done physically.”

Getting Massively Parallel

If you bring physical data into synthesis, you need a way to improve capacity and runtimes, especially with today’s gigantic advance-node SoCs. That’s why a massively parallel architecture is the cornerstone of the Genus solution. In this way, the Genus solution is following in the footsteps of the Innovus Implementation System, which also provides a massively parallel architecture.

Both the Innovus and Genus solutions can handle blocks of 10M instances flat. Given that SoCs today may have up to 100M instances, and often up to 50-100 top-level blocks, this is an important capability. Many tools today will only handle blocks of 1M instances. As a result, design teams often have to constrain block sizes.

Genus technology offers timing-driven, multi-level design partitioning across multiple threads and machines. It enables a near-linear runtime scaling without impacting PPA. According to Stratman, the Genus solution will scale well beyond 64 CPUs for a large design, with a “sweet spot” around 8-20 CPUs for today’s typical block sizes. Runs that used to take days, he noted, can now be done in hours.

As shown below, Genus technology leverages parallelism at three levels. The Genus solution can distribute design partitions to multiple threads or CPUs, and also supports local algorithm-level multithreading on each machine with shared memory. An adaptive scheduler ensures the best use of the available CPUs.


Fig. 1 – Genus Synthesis Solution provides three levels of parallelism

With its massive parallelism, Stratman said, Genus technology can obtain production-level quality of results (QoR) in runtimes typically seen in “prototype-level” synthesis runs. The “secret sauce,” he said, is in the partitioning. Cadence has found a way to generate partitions in a way that “slices the design more intelligently, and takes advantage of the Genus database to merge partitions without losing timing, power, or area,” Stratman said.

Playing in the Sandbox

In the Genus Synthesis Solution, a process called “sandboxing” allows any subset or partition of a design to be extracted along with full timing and a physical context. Optimization algorithms will treat a sandbox as a complete design.

The “Clipper” flow clips out or extracts the context of the larger SoC blocks. “It’s kind of a skeleton floorplan but it has all the timing information,” Stratman said. These extracted contexts include all the critical physical information to make the right RTL synthesis choices at the unit level. This information is used to streamline the handoffs between unit-level RTL designers, integration engineers, and implementation engineers. It’s a way for logic designers to gain some physical knowledge without having to be a physical synthesis expert, or without having to run a full top-level synthesis.

Fig. 2 – Clipper flow provides context for unit-level blocks

Correlation with Innovus Implementation System

Although Genus technology can work with third-party IC implementation systems, it shares algorithms and engines with Innovus Implementation System, as well as a common user interface. As shown below, both the Genus and Innovus solutions use a table-based Quantus QRC parasitic extraction, effective current source model (ECSM) and composite current source (CCS) delay calculations, and a unified global routing engine. Timing and wire length claim a 5% correlation.

Fig. 3 – Genus Synthesis Solution offers tight correlation with Innovus Implementation System

Genus technology doesn’t model everything to the same level of accuracy as the Innovus solution, however. “We chose to be lighter weight and more nimble to get expected runtimes,” Stratman said. A tight correlation is possible because the Genus and Innovus solutions use a similar code base. This correlation will be tighter than that between Encounter RTL Compiler Advanced Physical Option and the Encounter Digital Implementation System today.

Genus Synthesis Solution uses a new Hybrid Global Router that provides the ability to resolve congestion and construct layer-aware, timing-driven wire topologies. This accelerates analysis and debug, and reduces iterations. Users can avoid blockages and see a full Manhattan route as opposed to “flight lines.” Layer awareness is particularly important, given the large RC variations within the metal stack at advanced process nodes.

A version of the Innovus GigaPlace engine is available within the Genus solution. Here, users can do an RTL-level generic gate placement early in the synthesis flow (“generic gate” means there is no mapping into standard cell libraries, but there’s still an area estimate). This helps designers understand PPA tradeoffs earlier.

While users can go all the way to a design-rule “legal” placement with Genus Synthesis Solution, this isn’t generally recommended. “You can do a placement and use the same algorithms as GigaPlace and get a nice correlation without all the runtimes and additional steps of doing a fully legal placement,” Stratman said.

So where does Genus technology end and Innovus technology begin? That’s up to the user. You could use the Genus solution for logical synthesis and run all physical implementation in the Innovus system. If you run physical synthesis within the Genus solution, there’s more work earlier in the flow, but you get better insights into downstream problems and reduce iterations.

“Physical synthesis should be no more than 2X [runtime] of logic synthesis,” Stratman said. “All of the runtime that moves up should be shaved off of the place-and-route stages, because now you can do lightweight incremental optimization and incremental placement. The overall flow should be runtime neutral or better.”

Be Globally Aware

Finally, Genus Synthesis Solution offers a globally focused early PPA optimization across the whole datapath, delivering up to a 20% area reduction in the datapath. Stratman noted that this capability is a follow-on to an RCP feature called “globally focused mapping” that can determine the best cells to use in a library. What’s new with the Genus solution is that this concept has been applied at the arithmetic level.

For example, there are many ways to configure a multiplier – you may want to prioritize speed, power, or size. In the past, Stratman noted, synthesis tools have not been very good at globally optimizing the architecture selection for PPA optimization. “We can [now] find the most efficient global datapath implementation for a given region,” he said.

For further information about the Cadence Genus Synthesis Solution, including a datasheet and technical product brief, see this landing page.

Richard Goering

Related Blog Posts

Designer View – RTL Synthesis Success Strategies at 28nm and Below

Front-End Design Summit: The Future of RTL Synthesis and Design for Test

Physically-Aware Synthesis Helps Design a New Computer Architecture

 




gen

Verilog Code to Custom IC Layout generation

Hello everyone,

I am Vinay and I am currently developing some digital circuits for my chip design for my master's thesis at University at Buffalo.

I am fairly very new to Verilog and I don't seem to follow some of the things others find very easy.

Following are the things that I want to do to which I have no clue:

1. Develop certain arithmetic functionality in Verilog

2. Generate netlist for the verilog code

3. Feed the netlist file to Cadence encounter to be able to generate Digital Circuits' layout for my chip

I can use Cadence Virtuoso and Encounter for this but I don't know the exact procedure to get this done.

Could someone please describe the detailed process for doing the things mentioned above.

Thank you.




gen

genus include `define file

I have a file that list all the `defines that is used in the current design. This file (define.vh) is generated, like so :

`define MACRO_1 5

`define MACRO_2 1'h0

... etc

But in genus when I run the command

read_hdl define.vh

read_hdl -sv top.sv

The tool work as if the defines never get parsed and returns with unreferenced errors. How can I resolve this? Do I have to include 'define.vh' in all the design files?




gen

GENUS can't handle parameterized ports?

The following is valid SystemVerilog:

module mmio
#(parameter PORTS=2,
parameter ADDR_WIDTH=30)
(input logic[ADDR_WIDTH-1:0] addr[PORTS],
output logic ben[PORTS], // Bus enable
output logic men[PORTS]); // Memory enable

always_comb begin
for(int i = 0; i < PORTS; i++) begin
ben[i] = addr[i] >= 'h20080004 && addr[i] < 'h200c0000;
men[i] = ~ben[i];
end
end

endmodule : mmio

And if you instantiate it:


mmio #(1, 30) MMIO(.addr('{scalar_addr}),
.ben('{ben}),
.men('{men}));

Genus returns an error: "Could not synthesize non-constant range values. [CDFG-231] [elaborate]" Is this just not possible in Genus or could it be caused by something else?




gen

About SDF file after synthesis in Genus Tool

hello sir this is Ganesh  from NIT Hamirpur pursuing MTech in VLSI. I have doubt regarding SDF i'm using genus tool for synthesis & after synthesis when i'm generating SDF it is giving delays by default for maximum values but i want all the delays like minimum:Typical:Maximum how can i do this. Is there any provision to set PVT values manually for SDF generation so that i can get all the delay values.




gen

Integration and Verification of PCIe Gen4 Root Complex IP into an Arm-Based Server SoC Application

Learn about the challenges and solutions for integrating and verification PCIe(r) Gen4 into an Arm-Based Server SoC. Listen to this relatively short webinar by Arm and Cadence, as they describe the collaboration and results, including methodology and...(read more)




gen

Generating IBIS models in cadence virtuoso

I'm trying to generate IBIS models for the parts that I'm designing.  I'm designing using CADENCE Virtuoso.  

I'm wondering if there is a tutorial for generating IBIS models in CADENCE Virtuoso.   Please pardon me if my question is broad.