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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
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
This blog is my second blog from this year’s Linley Fall Processor Conference. The first two blogs focused on edge inference solutions. Achronix’s discussion was much broader than just AI/ML; it was about where FPGA’s have been going and culminated with a product announcement preview. I’ll get to the announcement in a moment, … Read More
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
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
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
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
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
In 2015 Intel acquired Altera for $16.7B changing one of the most heated rivalries (Xilinx vs Altera) the fabless semiconductor ecosystem has ever seen. Prior to the acquisition the FPGA market was fairly evenly split between Xilinx and Altera with Lattice and Actel playing to market niches in the shadows. There were also two FPGA… Read More
Cryptocurrencies represent a radical departure from traditional forms of money. Currencies like Bitcoin, Etherium and Monero offer many unique advantages over traditional currencies, and are changing how money is created and used. Bitcoin, the pioneer of cryptocurrencies, relies on pure computational power for so-called… Read More
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TSMC Q4 2019 “2020 Bellwether” Conference Call Summary