FPGA (re)take top spot on GreenGraph500

Penn Computational Intelligence Lab (PennCIL) ENIAD, an FPGA-based graph computer, placed in the top spot of the Green Graph 500 Small Graph rankings on June 30, 2021. Prof. Li’s team had previously held the top spot in 2019 with an FPGA-based machine they developed at UW-Madison. Graph500 is the de facto standard to measure and … Read more

ACM TRETS 2020 Best Paper Award winner announced

The ACM Transactions on Reconfigurable Technology and Systems (TRETS) journal has announced its Best Paper Award winner for 2020, entitled: FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks by Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O’brien, Yaman Umuroglu, Miriam Leeser, and Kees Vissers, published in Volume … Read more

FPL 2020 Best Paper Award winners announced

The International Conference on Field Programmable Technology and Applications (FPL) has announced its two Best Paper Award winners for 2020. The Michal Servit Award was won by the paper entitled: Timing-Driven Placement for FPGA Architectures with Dedicated Routing Paths by Stefan Nikolic (EPFL), Grace Zgheib (Intel Corporation), and Paolo Ienne (EPFL) The Stamatis Vassiliadis Award … Read more

FCCM 2020 Best Paper Award winner announced

The International Conference on Field Programmable Custom Computing Machines (FCCM) has announced its Best Paper Award winner for 2020, entitled: Comparison of Arithmetic Number Formats for Inference in Sum-Product Networks on FPGAs by Lukas Sommer (TU Darmstadt), Lukas Weber (TU Darmstadt), Martin Kumm (Fulda University of Applied Sciences), and Andreas Koch (TU Darmstadt) Congratulations to … Read more

New TCFPGA News site launched

The new TCFPGA News site is now live. We hope to keep this up to date with the latest happenings in the reconfigurable computing community. You are able to contribute news items by signing up for an account and creating a post. Note that all posts are subject to moderation before appearing on the site.