Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Caulfield, Adrian"'
Autor:
Pelton, Blake, Sapek, Adam, Eguro, Ken, Lo, Daniel, Forin, Alessandro, Humphrey, Matt, Xi, Jinwen, Cox, David, Karandikar, Rajas, Licht, Johannes de Fine, Babin, Evgeny, Caulfield, Adrian, Burger, Doug
Digital systems are growing in importance and computing hardware is growing more heterogeneous. Hardware design, however, remains laborious and expensive, in part due to the limitations of conventional hardware description languages (HDLs) like VHDL
Externí odkaz:
http://arxiv.org/abs/2405.19514
Autor:
Bonato, Tommaso, Kabbani, Abdul, De Sensi, Daniele, Pan, Rong, Le, Yanfang, Raiciu, Costin, Handley, Mark, Schneider, Timo, Blach, Nils, Ghalayini, Ahmad, Alves, Daniel, Papamichael, Michael, Caulfield, Adrian, Hoefler, Torsten
With the rapid growth of machine learning (ML) workloads in datacenters, existing congestion control (CC) algorithms fail to deliver the required performance at scale. ML traffic is bursty and bulk-synchronous and thus requires quick reaction and str
Externí odkaz:
http://arxiv.org/abs/2404.01630
Autor:
Putnam, Andrew1, Caulfield, Adrian M.1, Chung, Eric S.1, Chiou, Derek2, Constantinides, Kypros3, Demme, John4, Esmaeilzadeh, Hadi5, Fowers, Jeremy1, Gopal, Gopi Prashanth1, Gray, Jan1, Haselman, Michael1, Hauck, Scott6, Heil, Stephen1, Hormati, Amir7, Joo-Young Kim1, Lanka, Sitaram1, Larus, James8, Peterson, Eric1, Pope, Simon1, Smith, Aaron1
Publikováno v:
Communications of the ACM. Nov2016, Vol. 59 Issue 11, p114-122. 9p. 7 Diagrams, 1 Graph.
Autor:
Fowers, Jeremy, Ovtcharov, Kalin, Papamichael, Michael, Massengill, Todd, Liu, Ming, Lo, Daniel, Alkalay, Shlomi, Haselman, Michael, Adams, Logan, Ghandi, Mahdi, Heil, Stephen, Patel, Prerak, Sapek, Adam, Weisz, Gabriel, Woods, Lisa, Lanka, Sitaram, Reinhardt, Steven K., Caulfield, Adrian M., Chung, Eric S., Burger, Doug
Publikováno v:
ISCA
Interactive AI-powered services require low-latency evaluation of deep neural network (DNN) models—aka ""real-time AI"". The growing demand for computationally expensive, state-of-the-art DNNs, coupled with diminishing performance gains of general-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f1c3001bdb00f28f895a5b5ffa4098
Akademický článek
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Akademický článek
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Autor:
Caulfield, Adrian M, Swanson, Steven
Solid State Disks (SSDs) based on flash and other non-volatile memory technologies reduce storage latencies from 10s of milliseconds to 10s or 100s of microseconds, transforming previously inconsequential storage overheads into performance bottleneck
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::6ff07fd32c3aad8961a70d7ac569639b
https://escholarship.org/uc/item/9bm5k56q
https://escholarship.org/uc/item/9bm5k56q
Autor:
Caulfield, Adrian Michael
Publikováno v:
Caulfield, Adrian Michael. (2013). Moneta : A Storage System for Fast Non-Volatile Memories. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/06s0k62k
Over the last few decades, storage performance has stagnated in comparison to the performance of the rest of the system. Over this time, system designers have continued to add additional layers of abstraction and optimization to the storage hierarchy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::e89559052c500cd5e126cb86c723e59d
http://www.escholarship.org/uc/item/06s0k62k
http://www.escholarship.org/uc/item/06s0k62k
Advanced non-volatile, solid-state storage technologies such as phase change memory promise enormous gains in performance relative to both conventional disks and flash memory-based storage devices. However, existing abstractions for accessing non-vol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::ad67ec27be3d25b9e39648cd3f22c1b0
https://escholarship.org/uc/item/4wm358ht
https://escholarship.org/uc/item/4wm358ht