Everybody wants to give FPGA development a try and here’s a great way to get into it. You can build your own Persistence of Vision display using a $30 dev board. It’s a fun project, and you’ll learn ...
We often think that not enough people are building things with FPGAs. We also love the retrotechtacular posts on old computer hardware. So it was hard to pass up [karlwoodward’s] post about the Chip ...
Altera University aims to affordably and easily introduce students to the world of FPGAs and digital logic programming tools by unveiling the curriculum, tutorials, and lab exercises that bridge the ...
Mipsology’s Zebra Deep Learning inference engine is designed to be fast, painless, and adaptable, outclassing CPU, GPU, and ASIC competitors. I recently attended the 2018 Xilinx Development Forum (XDF ...
Deep learning and complex machine learning has quickly become one of the most important computationally intensive applications for a wide variety of fields. The combination of large data sets, ...
“FPGAs have shown great potential in providing low-latency and energy-efficient solutions for deep neural network (DNN) inference applications. Currently, the majority of FPGA-based DNN accelerators ...
FPGA maker Xilinx has acquired Chinese deep learning chip startup DeePhi Tech for an undisclosed sum. The Next Platform has been watching DeePhi closely over the last few years as it appeared to be ...
Today’s high-speed FPGAs have a passing similarity to their older counterparts. However, large arrays of identical lookup tables (LUTs) and interconnect fabrics have given way to high-speed, ...
Some of the most valuable events at DAC are the IP Track sessions, which give small and midsize companies a chance to share innovations that might not get much attention elsewhere. The use of IP in ...
Achronix and Bittware are collaborating on a new FPGA accelerator designed for cloud, AI, and machine learning applications. Increased demand for artificial intelligence (AI) and machine learning (ML) ...
1. Processor performance is starting to level off. (Source: “Computer Architecture: A Quantitative Approach,” by John L. Hennessy and David A. Patterson) What’s not shown in the chart is where GPGPUs ...