Webinar: Fab.da: Comprehensive AI-Driven Process Analytics for Faster Ramp and Efficient High-Volume Manufacturing

Webinar: Fab.da: Comprehensive AI-Driven Process Analytics for Faster Ramp and Efficient High-Volume Manufacturing
by Admin on 05-30-2024 at 3:20 pm

The challenges before semiconductor fabs are expansive and evolving. As the size of chips shrinks from nanometers to eventually angstroms, the complexity of the manufacturing process increases in response. To combat the complexity and sheer intricacy of semiconductor manufacturing, innovative software solutions are required. 

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Webinar: Silicon.da: The First Integrated SLM Analytics Solution from Design Through Manufacturing

Webinar: Silicon.da: The First Integrated SLM Analytics Solution from Design Through Manufacturing
by Admin on 05-30-2024 at 3:15 pm

Today’s advanced node chip designs are faced with many new complexities which require more verification, more validation and more analysis. The resulting data from these added steps has also grown exponentially and engineers need a way to efficiently analyze this information. The result is a new paradigm shift which has led

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Using LLMs for Fault Localization. Innovation in Verification

Using LLMs for Fault Localization. Innovation in Verification
by Bernard Murphy on 05-29-2024 at 6:00 am

Innovation New

We have talked about fault localization (root cause analysis) in several reviews. This early-release paper looks at applying LLM technology to the task. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and now Silvaco CTO) and I continue our series on research… Read More


Elevating Your SoC for Reconfigurable Computing – EFLX® eFPGA and InferX™ DSP and AI

Elevating Your SoC for Reconfigurable Computing – EFLX® eFPGA and InferX™ DSP and AI
by Kalar Rajendiran on 05-28-2024 at 10:00 am

Use Case eFPGA Complementing Signal Processing

Field-Programmable Gate Arrays (FPGAs) have long been celebrated for their unmatched flexibility and programmability compared to Application-Specific Integrated Circuits (ASICs). And the introduction of Embedded FPGAs (eFPGAs) took these advantages to new heights. eFPGAs offer on-the-fly reconfiguration capabilities,… Read More


From System Design to Drug Design. The Rationale

From System Design to Drug Design. The Rationale
by Bernard Murphy on 05-22-2024 at 6:00 am

Drug development cycle min

I’m guessing that more than a few people were mystified (maybe still are) when Cadence acquired OpenEye Scientific, a company known for computational molecular design aimed at medical drug/therapeutics discovery. What could EDA, even SDA (system design automation), and drug discovery possibly have in common? More than you… Read More


New Tool that Synthesizes Python to RTL for AI Neural Network Code

New Tool that Synthesizes Python to RTL for AI Neural Network Code
by Daniel Payne on 05-21-2024 at 10:00 am

Catapult AI NN tool flow – Python to RTL

AI and ML techniques are popular topics, yet there are considerable challenges to those that want to design and build an AI accelerator for inferencing, as you need a team that understands how to model a neural network in a language like Python, turn that model into RTL, then verify that your RTL matches Python. Researchers from CERN,… Read More


Anirudh Fireside Chats with Jensen and Cristiano

Anirudh Fireside Chats with Jensen and Cristiano
by Bernard Murphy on 05-14-2024 at 6:00 am

Fireside chat min

At CadenceLIVE 2024 Anirudh Devgan (President and CEO of Cadence) hosted two fireside chats, one with Jensen Huang (President and CEO of NVIDIA) and one with Cristiano Amon (President and CEO of Qualcomm). As you would expect both discussions were engaging and enlightening. What follows are my takeaways from those chats.

Anirudh

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Anirudh Keynote at CadenceLIVE 2024. Big Advances, Big Goals

Anirudh Keynote at CadenceLIVE 2024. Big Advances, Big Goals
by Bernard Murphy on 05-01-2024 at 6:00 am

Anirudh keynote at CadenceLive 2024

The great things about CEO keynotes, at least from larger companies, is that you not only learn about recent advances but you also get a sense of the underlying algorithm for growth. Particularly reinforced when followed by discussions with high profile partner CEOs on their directions and areas of common interest. I saw this recently… Read More


Alphawave Semi Bridges from Theory to Reality in Chiplet-Based AI

Alphawave Semi Bridges from Theory to Reality in Chiplet-Based AI
by Bernard Murphy on 04-25-2024 at 10:00 am

Alphawave Semi min

GenAI, the most talked-about manifestation of AI these days, imposes two tough constraints on a hardware platform. First, it demands massive memory to serve large language model with billions of parameters. Feasible in principle for a processor plus big DRAM off-chip and perhaps for some inference applications but too slow … Read More