The Challenge And Value Proposition of eFPGA Emulation

By Cheng Wang - 05 Oct, 2023 - Comments: 0

More than 40 chips have been licensed to use EFLX eFPGA and more than 20 chips are already working in silicon. Big customers like Renesas are planning high volumes and families of chips using eFPGA. eFPGA is being used in process nodes from 180nm to 5nm, with 3nm and 18A in evaluation. Especially for the high-volume customers working in advanced finFET nodes, the strong need is for first ... » read more

Use Cases And Value Proposition Of eFPGA

By Geoff Tate - 07 Sep, 2023 - Comments: 0

Flex Logix EFLX eFPGA is the first eFPGA that enables a customer to match the performance of FPGAs from AMD/Xilinx and Intel (in the same process node) with the same density (LUTs/mm2). EFLX eFPGA has been in use with customers now for more than 5 years, hardware and software. More than 40 chips have been licensed to use EFLX eFPGA and more than 20 chips are working in silicon. Big customers... » read more

The Next Generation Of Embedded FPGA

By Geoff Tate - 03 Aug, 2023 - Comments: 0

EFLX eFPGA has been in use in SoCs for more than 5 years, hardware and software. More than 40 chips have been licensed to use EFLX eFPGA and more than 20 chips are working in silicon. Big customers like Renesas are planning high volumes and families of chips using eFPGA. As we have worked with customers our architecture has evolved from EFLX Gen 1.0 to Gen 2.0, 2.1, 2.2, 2.3 and now in 2023 ... » read more

Fully Reconfigurable DSP: As Fast As Hardwired At ~2x Area/Power

By Jeremy Roberson - 01 Jun, 2023 - Comments: 0

Today if you want high performance DSP you have three choices: Hardwire your function – zero flexibility Use DSP IP based on VLIW Use FPGAs with DSP MACs or math engines What we hear from customers is that there is a growing need for very fast and very flexible DSP, which hardwired solutions can’t address. And that the fastest solutions are FPGAs, but they are big, high pow... » read more

Issues And Challenges In Super-Resolution Object Detection And Recognition

By Jeremy Roberson - 04 May, 2023 - Comments: 0

If you want high performance AI inference, such as Super-Resolution Object Detection and Recognition, in your SoC the challenge is to find a solution that can meet your needs and constraints. You need inference IP that can run the model you want at high accuracy. You need inference IP that can run the model at the frame rate you want: higher frame rate = lower latency, more time for dec... » read more

Connect To Any Chip With Programmable GPIO

By Geoff Tate - 06 Apr, 2023 - Comments: 0

Your MCU/SoC today may have several options for GPIO connections: UART, SPI, I2C. But there are dozens of variations and kinds of GPIO interface protocols: you don’t have enough pins to provide all of them as hardwired options. As a result, a significant number of your customers either can’t use your chip because they need to connect to another with a GPIO interface you don’t support, ... » read more

The Importance Of Metal Stack Compatibility For Semi IP

By Geoff Tate - 02 Mar, 2023 - Comments: 0

Every foundry and every node is different, but for every foundry/node there are multiple supported metal stacks. Some chips use a lot more metal layers than others. A common rule of thumb is each metal layer increases wafer cost 10%. So, a chip with 5 more metal layers than another will cost 50%+ more. The most complex, high performance chips, including performance FPGAs, typically use AL... » read more

Micro FPGAs And Embedded FPGAs

By Geoff Tate - 02 Feb, 2023 - Comments: 0

When people hear “FPGA” they think “big, expensive, power hungry.” But it doesn’t need to be that way. Renesas has announced their Forge FPGA family. Details are at their website and in one of the many articles that covered their press release. Forge FPGAs show that FPGAs don’t have to be big, power hungry, and expensive. Forge FPGAs are tiny, draw standby current measure... » read more

Integrating 16nm FPGA Into 28/22nm SoC Without Losing Speed Or Flexibility

By Geoff Tate - 05 Jan, 2023 - Comments: 0

Systems companies like FPGA because it gives parallel processing performance that can outdo processors for many workloads and because it can be reconfigured when standards, algorithms, protocols or customer requirements change. But FPGAs are big, burn a lot of power and are expensive. Customers would like to integrate them into their adjacent SoC if possible. Dozens of customers are now u... » read more

Put A Data Center In Your Phone!

By Andy Jaros - 10 Oct, 2022 - Comments: 0

Datacenters heavily leverage FPGAs for AI acceleration. Why not do the same for low power edge applications with embedded FPGA (eFPGA)? It’s common knowledge for anyone connected to the cloud computing industry that data centers heavily rely on FPGAs for programmable accelerators enabling high performance computing for AI training and inferencing. These heterogeneous computing solution... » read more

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