Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sheffield David B"'
Autor:
Dongup Kwon, Ali Jafari, Abirami Prabhakaran, Pranavi Appana, Prerna Budhkar, Mishali Naik, Andrew Boutros, Eriko Nurvitadhi, Karthik Gururaj, Sheffield David B
Publikováno v:
FPT
We present a CPU server with multiple FPGAs that is purely software-programmable by a unified framework to enable flexible implementation of modern real-life complex AI that scales to large model size (100M+ parameters), while delivering real-time in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62f01f35ebe460002865dcaac0013aaf
https://doi.org/10.1109/icfpt47387.2019.00054
https://doi.org/10.1109/icfpt47387.2019.00054
Autor:
Debbie Marr, Sheffield David B, Jaewoong Sim, Eriko Nurvitadhi, Ganesh Venkatesh, Asit K. Mishra
Publikováno v:
FPT
Deep neural networks (DNNs) are widely used in data analytics, since they deliver state-of-the-art accuracies. Binarized neural networks (BNNs) are recently proposed optimized variant of DNNs. BNNs constraint network weight and/or neuron value to eit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::914269493e788b4322ffd9b1f78b22ce
https://doi.org/10.1109/fpt.2016.7929192
https://doi.org/10.1109/fpt.2016.7929192
Autor:
Jaewoong Sim, Debbie Marr, Asit K. Mishra, Srivatsan Krishnan, Sheffield David B, Eriko Nurvitadhi
Publikováno v:
FPL
Recurrent neural networks (RNNs) provide state-of-the-art accuracy for performing analytics on datasets with sequence (e.g., language model). This paper studied a state-of-the-art RNN variant, Gated Recurrent Unit (GRU). We first proposed memoization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5746a69f890dafd42c66bfa81bc93f0
https://doi.org/10.1109/fpl.2016.7577314
https://doi.org/10.1109/fpl.2016.7577314