Achronix Speedster7t Garners Best Practices Award for FPGA

Achronix Speedster7t Garners Best Practices Award for FPGA
by Tom Simon on 01-11-2021 at 10:00 am

Frost and Sullivan 2020 Award Achronix

FPGAs have played an important role in the growth of key markets, including networking, storage, mobile devices, etc. They offer a unique set of capabilities that ASICs, CPUs and GPUs find hard to match. FPGAs are wire-speed, programmable integrated circuits that accelerate data and applications.  The ability to reprogram … Read More


How ML Enables Cadence Digital Tools to Deliver Better PPA

How ML Enables Cadence Digital Tools to Deliver Better PPA
by Mike Gianfagna on 10-28-2020 at 10:00 am

How ML Enables Cadence Digital Tools to Deliver Better PPA

There has been a lot written about artificial intelligence/machine learning (AI/ML) and its application in the Cadence digital design flow. Most recently, I covered significant verification efficiency improvements in Xcellium ML.  A recent digital-themed white paper from Cadence takes a broader look at the impact of ML on… Read More


New Processor Helps Move Inference to the Edge

New Processor Helps Move Inference to the Edge
by Tom Simon on 08-10-2020 at 10:00 am

MIPI IP from Mixel

Many of the most compelling applications for Artificial Intelligence (AI) and Machine Learning (ML) are found on mobile devices and when looking at the market size in that arena, it is clear that this is an attractive segment. Because of this, we can expect to see many consumer devices having low power requirements at the edge with… Read More


DAC Panel – Artificial Intelligence Comes to CAD: Where’s the Data?

DAC Panel – Artificial Intelligence Comes to CAD: Where’s the Data?
by Tom Simon on 07-30-2020 at 10:00 am

Which problems are ripe for AIML

Artificial Intelligence (AI) and Machine Learning (ML) are becoming more and more commonplace in our world. We have Siri, Alexa and Google Assistant that understand our voice commands. Vision systems that recognize objects are used for facial recognition, autonomous driving, medical, geographical and many other applications.… Read More


Cadence – Redefining EDA Through Computational Software

Cadence – Redefining EDA Through Computational Software
by Mike Gianfagna on 05-12-2020 at 10:00 am

Screen Shot 2020 05 09 at 6.52.49 PM

Based on what I’m seeing, I believe Cadence is looking at the world a bit differently these days. I first reported about their approach to machine learning for EDA in March, and then there was their white paper about Intelligent System Design in April. It’s now May, and Cadence is shaking things up again with a new white paper entitled… Read More


Cadence Digital Full Flow Optimized to Deliver Improved Quality of Results with Up to 3X Faster Throughput

Cadence Digital Full Flow Optimized to Deliver Improved Quality of Results with Up to 3X Faster Throughput
by Mike Gianfagna on 03-23-2020 at 6:00 am

FINAL2 Digital FF iSpatial Flow hi res

Artificial intelligence (AI) and machine learning (ML) are hot topics. Beyond the impact these technologies are having on the world around us, they are also having impact on the semiconductor and EDA ecosystem. I posted a blog last week that discussed how Cadence views AI/ML, both from a tool and ecosystem perspective. The is one… Read More


Machine Learning for EDA – Inside, Outside and Everywhere Else

Machine Learning for EDA – Inside, Outside and Everywhere Else
by Mike Gianfagna on 03-18-2020 at 6:00 am

Paul Cunningham

Artificial intelligence (AI) is everywhere. The rise of the machines is upon us in case you haven’t noticed. Machine learning (ML) and its associated inference abilities promise to revolutionize everything from driving your car to making breakfast. We hear a lot about the macro, end-product impact of this technology, but there… Read More


Webinar – FPGA Native Block Floating Point for Optimizing AI/ML Workloads

Webinar – FPGA Native Block Floating Point for Optimizing AI/ML Workloads
by Tom Simon on 02-25-2020 at 10:00 am

block float example

Block floating point (BFP) has been around for a while but is just now starting to be seen as a very useful technique for performing machine learning operations. It’s worth pointing out up front that bfloat is not the same thing. BFP combines the efficiency of fixed point operations and also offers the dynamic range of full floating… Read More


Cadence Dives Deeper at Linley Fall Processor Conference

Cadence Dives Deeper at Linley Fall Processor Conference
by Randy Smith on 11-05-2019 at 10:00 am

I wrote about Cadence AI IP not long ago when I covered the Cadence Automotive Summit at the end of July (Tensilica DNA 100 Brings the AI Inference Solution for Level 2 ADAS ECUs and Level 4 Autonomous Driving, Tensilica HiFi DSPs for What I Want to Hear, and What I Don’t Want to Hear). One of those two blogs remains one of my most widely … Read More


BittWare PCIe server card employs high throughput AI/ML optimized 7nm FPGA

BittWare PCIe server card employs high throughput AI/ML optimized 7nm FPGA
by Tom Simon on 10-31-2019 at 6:00 am

Back in May I wrote an article on the new Speedster7t from Achronix. This chip brings together Network on Chip (NoC) interconnect, high speed Ethernet and memory connections, and processing elements optimized for AI/ML. Speedster7t is a very exciting new FPGA that can be used effectively to accelerate a wide range of processing… Read More