Architecture Exploration of Processors and SoC to trade off power and performance 5
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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


Efficiency – Flex Logix’s Update on InferX™ X1 Edge Inference Co-Processor

Efficiency – Flex Logix’s Update on InferX™ X1 Edge Inference Co-Processor
by Randy Smith on 10-30-2019 at 10:00 am

Last week I attended the Linley Fall Processor Conference held in Santa Clara, CA. This blog is the first of three blogs I will be writing based on things I saw and heard at the event.

In April, Flex Logix announced its InferX X1 edge inference co-processor. At that time, Flex Logix announced that the IP would be available and that a chip,… Read More


Free webinar – Accelerating data processing with FPGA fabrics and NoCs

Free webinar – Accelerating data processing with FPGA fabrics and NoCs
by Tom Simon on 10-14-2019 at 10:00 am

FPGAs have always been a great way to add performance to a system. They are capable of parallel processing and have the added bonus of reprogramability. Achronix has helped boost their utility by offering on-chip embedded FPGA fabric for integration into SoCs. This has had the effect of boosting data rates through these systems… Read More


Acceleration in a Heterogenous Compute Environment

Acceleration in a Heterogenous Compute Environment
by Bernard Murphy on 10-02-2019 at 5:00 am

Acceleration

Heterogenous compute isn’t a new concept. We’ve had it in phones and datacenters for quite a while – CPUs complemented by GPUs, DSPs and perhaps other specialized processors. But each of these compute engines has a very specific role, each driven by its own software (or training in the case of AI accelerators). You write software… Read More


AI Inference at the Edge – Architecture and Design

AI Inference at the Edge – Architecture and Design
by Tom Dillinger on 09-23-2019 at 10:00 am

In the old days, product architects would throw a functional block diagram “over the wall” to the design team, who would plan the physical implementation, analyze the timing of estimated critical paths, and forecast the signal switching activity on representative benchmarks.  A common reply back to the architects was, “We’veRead More


Learn About Implementing SmartNICs, an Achronix White Paper

Learn About Implementing SmartNICs, an Achronix White Paper
by Randy Smith on 09-17-2019 at 10:00 am

We have all seen the announcements to provide ever-increasing network capabilities within the data centers.  Enabling these advances are improvements in connectivity including SerDes, PAM4, optical solutions, and many others. It seems 40G is old news now, and the current push is for 400G – things are changing very quickly.… Read More


Webinar: Using Embedded FPGA to Improve Machine Learning SOCs

Webinar: Using Embedded FPGA to Improve Machine Learning SOCs
by Tom Simon on 08-22-2019 at 6:00 am

By its very definition, machine learning (ML) hardware requires flexibility. In turn, each ML application has its own fine grain requirements. Specific hardware implementations that include specialized processing elements are often desirable for machine learning chips. At the top of the priority list is parallel processing.… Read More


eFPGA – What a great idea! But I have no idea how I’d use it!

eFPGA – What a great idea! But I have no idea how I’d use it!
by Daniel Nenni on 08-05-2019 at 10:00 am

eFPGA stands for embedded Field Programmable Grid Arrays.  An eFPGA is a programmable device like an FPGA but rather than being sold as a completed chip it is licensed as a semiconductor IP block. ASIC designers can license this IP and embed it into their own chips adding the flexibility of programmability at an incremental cost.… Read More


An evolution in FPGAs

An evolution in FPGAs
by Tom Simon on 05-24-2019 at 5:00 am

Why does it seem like current FPGA devices work very much like the original telephone systems with exchanges where workers connected calls using cords and plugs? Achronix thinks it is now time to jettison Switch Blocks and adopt a new approach. Their motivation is to improve the suitability of FPGAs to machine learning applications,… Read More


Flex Logix InferX X1 Optimizes Edge Inference at Linley Processor Conference

Flex Logix InferX X1 Optimizes Edge Inference at Linley Processor Conference
by Camille Kokozaki on 04-18-2019 at 12:00 pm

Dr. Cheng Wang, Co-Founder and SVP Engineering at Flex Logix, presented the second talk in the ‘AI at the Edge’ session, at the just concluded Linley Spring Processor Conference, highlighting the InferX X1 Inference Co-Processor’s high throughout, low cost, and low power. He opened by pointing out that existing inference solutions… Read More