ML
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Ansys IDEAS Digital Forum
September 22-23, 2021 Ansys is at the forefront of electronic design enablement in partnership with the world’s leading companies for AI and machine learning, high-performance computing, 5G, telecommunications, aerospace and autonomous vehicles. Join us for the IDEAS Digital Forum — a place to catch up on industry best practices and the latest advances in semiconductor,… Ansys IDEAS Digital Forum
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Xcelium ML for 5X Faster Regression Throughput
Overview Regressions time often becomes one of the biggest challenges to meet the tight project schedule with increasing complexity of the SoC designs and shorter time to market. Verification engineers apply a coverage-driven methodology and run a large number of constrained random tests with multiple seeds in massive regressions to meet their coverage goals. Thus,… Xcelium ML for 5X Faster Regression Throughput
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40th Annual ICCAD
As ICCAD 2021's general chair, please let me announce that the main technical program of the 40th anniversary of ICCAD will take place purely virtual from November 1st (until November 4th) 2021, which is due to the ongoing pandemic situation. Thanks to the rapidly deployed vaccines and strict hygienic measures, ICCAD will be extended to offer… 40th Annual ICCAD
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5X Faster Equivalence Checking with Formality ML-driven DPX
Synopsys’ Fusion Compiler provides a broad spectrum of aggressive optimization techniques such as retiming, multibit banking and advanced data-path optimization that our designers want to take advantage of to achieve maximum PPA. Our expectation from production quality Equivalence checking is to be able to complete verification with minimal efforts and the fastest turn-around-time. This presentation… 5X Faster Equivalence Checking with Formality ML-driven DPX
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Design Automation Conference, 2022
Moscone Center 747 Howard Street, San Francisco, CA, United StatesThe Design Automation Conference (DAC) is recognized as the premier event for the design and design automation of electronic chips to systems. DAC offers outstanding training, education, exhibits and superb networking opportunities for designers, researchers, tool developers and vendors. The conference is sponsored by the Association for Computing Machinery (ACM) and the Institute of Electrical… Design Automation Conference, 2022
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Machine-Learned Force Fields for 2D Materials Modeling with QuantumATK
Join our FREE event live on Sept 15th or at a later date on-demand, to learn about how machine-learned force fields (ML FFs) can efficiently be applied to 2D Materials Modeling. The event will start with a brief overview on how ML FFs are implemented and can be easily used in the Synopsys QuantumATK atomistic… Machine-Learned Force Fields for 2D Materials Modeling with QuantumATK
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Shorten Your CDC Debug Cycle by 10X with ML-based RCA
Over the last few decades System on Chip (SoC) design size has dramatically increased, and more complexity has been introduced to deliver the desired functionality. Growing design sizes lead to the introduction of several asynchronous clocks which can result in the reporting of millions of clock domain crossings (CDC) at the IP/SoC level. This leads… Shorten Your CDC Debug Cycle by 10X with ML-based RCA
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Questa RDC Assist – Improving designer productivity and enabling faster RDC verification closure with machine learning
In 2021 Siemens EDA released CDC Assist. CDC Assist is an ML powered feature that empowers users to configure, debug, and close CDC on designs more rapidly. Following the success of CDC Assist, Siemens introduced RDC Assist in 2023. Using the same ML technology in CDC Assist, RDC Assist dramatically improves the time and… Questa RDC Assist – Improving designer productivity and enabling faster RDC verification closure with machine learning