hip webinar automating integration workflow 800x100 (1)
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eFPGA – What’s Available Now, What’s Coming and What’s Possible!

eFPGA – What’s Available Now, What’s Coming and What’s Possible!
by Daniel Nenni on 05-20-2020 at 6:00 am

Flex Logix Inference Accelleration

eFPGA is now widely available, has been used in dozens of chips, is being designed into dozens more and it has an increasing list of benefits for a range of applications. Embedded FPGA, or eFPGA, enables your SoC to have flexibility in critical areas where algorithm, protocol or market needs are changing. FPGAs can also accelerate… Read More


Flex Logix CEO Update 2020

Flex Logix CEO Update 2020
by Daniel Nenni on 05-08-2020 at 10:00 am

FlexLogic Color AI eFPGA

We started working with Felx Logix more than eight years ago and let me tell you it has been an interesting journey. Geoff Tate was our second CEO Interview so this is a follow up to that. The first one garnered more than 15,000 views and I expect more this time given the continued success of Flex Logix pioneering the eFPGA market, absolutely.… Read More


Using ML Acceleration Hardware for Improved DSP Performance

Using ML Acceleration Hardware for Improved DSP Performance
by Tom Simon on 04-24-2020 at 6:00 am

nnMAX Flex Logix Tile

Some amazing hardware is being designed to accelerate AI/ML, most of which features large numbers of MAC units. Given that MAC units are like the lego blocks of digital math, they are also useful for a number of other applications. System designers are waking up to the idea of repurposing AI accelerators for DSP functions such as … Read More


Accelerating Edge Inference with Flex Logix’s InferX X1

Accelerating Edge Inference with Flex Logix’s InferX X1
by Mike Gianfagna on 04-22-2020 at 10:00 am

Screen Shot 2020 04 11 at 6.29.49 PM

For a long time, memories were the primary technology driver for process development. If you built memories, you got access to cutting-edge process information. If you built other products, this could give you a competitive edge. In many cases, FPGAs are replacing memories as the driver for advanced processes. The technology… 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


Insights from the Next FPGA Platform Event

Insights from the Next FPGA Platform Event
by Daniel Nenni on 02-11-2020 at 10:00 am

The Next FPGA Platform SemiWiki

Unfortunately, I missed this event since I was in China. Fortunately, Manoj Roge VP Strategic Planning and Business Development at Achronix participated and did a nice write-up. Manoj has more than 20 years of experience in the programable business with Cypress Semiconductor, Xilinx, Altera, and now Achronix so you should definitely… Read More


FPGAs in the 5G Era!

FPGAs in the 5G Era!
by Daniel Nenni on 01-27-2020 at 6:00 am

New Family of FPGAs Speedster7t

FPGAs, today and throughout the history of semiconductors, play a critical role in design enablement and electronic systems. Which is why we included the history of FPGAs in our book “Fabless: The Transformation of the Semiconductor Industry” and added a new chapter in the 2019 edition on the history of Achronix.

In a recent blog… Read More


Network on Chip Brings Big Benefits to FPGAs

Network on Chip Brings Big Benefits to FPGAs
by Tom Simon on 12-19-2019 at 10:00 am

NAPs provide connection to high speed NoC

The conventional thinking about programmable solutions such as FPGAs is that you have to be willing to make a lot of trade-offs for their flexibility. This has certainly been the case in many instances. Even just getting data across the chip can eat up valuable routing resources and add a lot of overhead. These problems are exacerbated… Read More


Characteristics of an Efficient Inference Processor

Characteristics of an Efficient Inference Processor
by Tom Dillinger on 12-11-2019 at 10:00 am

The market opportunities for machine learning hardware are becoming more succinct, with the following (rather broad) categories emerging:

  1. Model training:  models are evaluated at the “hyperscale” data center;  utilizing either general purpose processors or specialized hardware, with typical numeric precision of 32-bit
Read More

New Generation of FPGA Based Distributed Accelerator Cards Offer High Performance and Adaptability

New Generation of FPGA Based Distributed Accelerator Cards Offer High Performance and Adaptability
by Tom Simon on 12-05-2019 at 10:00 am

Achronix FPGA used on BittWare Accelerator Card

We have learned from nature that two characteristics are helpful for success, diversity and adaptability. The same has been shown to be true for computing systems. Things have come a long way from when CPU centric computing was the only choice. Much heavy lifting these days is done by GPUs, ASICs, and FPGAs, with CPUs in a support … Read More