Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maysam Lavasani"'
Autor:
Dennis Allison, Michael J. Flynn, Andreas Nowatzyk, Maysam Lavasani, Quinn Jacobson, Mark Cummings, Carl Hewitt, Mark Shand, Oskar Mencer, Jerry Harris, Shahram Shirazi, Masoud Nikravesh, Elad Blatt, Hal G. Murray, Mohsen Moazami
Publikováno v:
Communications of the ACM. 63:36-39
This article is a summary of a three-hour discussion at Stanford University in September 2019 among the authors. It has been written with combined experiences at and with organizations such as Zilo...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8db06fa3a033ffa412e0c730a4187bc1
https://doi.org/10.1145/3410669
https://doi.org/10.1145/3410669
Autor:
Carl Hewitt, Hal Murray, Masoud Nikravesh, Elad Blatt, Andreas Nowatzyk, Quinn Jacobson, Mark Shand, Jerry Harris, Dennis Allison, Michael J. Flynn, Shahram Shirazi, Mark Cummings, Mohsen Moazami, Oskar Mencer, Maysam Lavasani
Publikováno v:
Queue. 18:71-82
This article is a summary of a three-hour discussion at Stanford University in September 2019 among the authors. It has been written with combined experiences at and with organizations such as Zilog, Altera, Xilinx, Achronix, Intel, IBM, Stanford, MI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70e290dbc91c951427485701e4840d5a
https://doi.org/10.1145/3411757.3411759
https://doi.org/10.1145/3411757.3411759
Publikováno v:
Hot Chips Symposium
We present a method for accelerating server applications using a hybrid CPU+FPGA architecture and demonstrate its advantages by accelerating Memcached, a distributed key-value system. The accelerator, implemented on the FPGA fabric, processes request
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd2f87f231071c107e00b1fa69a68d6c
https://doi.org/10.1109/l-ca.2013.17
https://doi.org/10.1109/l-ca.2013.17
Publikováno v:
FPGA
Gorilla is a methodology for generating FPGA-based solutions especially well suited for data parallel applications with fine grain irregularity. Irregularity simultaneously destroys performance and increases power consumption on many data parallel pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c166e20e2b057495d9915cafd50215cd
https://doi.org/10.1145/2145694.2145709
https://doi.org/10.1145/2145694.2145709