Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Tai, Charlie"'
Autor:
Penney, Drew, Li, Bin, Chen, Lizhong, Sydir, Jaroslaw J., Drewek-Ossowicka, Anna, Illikkal, Ramesh, Tai, Charlie, Iyer, Ravi, Herdrich, Andrew
Resource sharing between multiple workloads has become a prominent practice among cloud service providers, motivated by demand for improved resource utilization and reduced cost of ownership. Effective resource sharing, however, remains an open chall
Externí odkaz:
http://arxiv.org/abs/2304.04797
Autor:
Yuan, Yifan, Huang, Jinghan, Sun, Yan, Wang, Tianchen, Nelson, Jacob, Ports, Dan R. K., Wang, Yipeng, Wang, Ren, Tai, Charlie, Kim, Nam Sung
Responding to the "datacenter tax" and "killer microseconds" problems for datacenter applications, diverse solutions including Smart NIC-based ones have been proposed. Nonetheless, they often suffer from high overhead of communications over network a
Externí odkaz:
http://arxiv.org/abs/2203.08906
Autor:
Penney, Drew, Li, Bin, Sydir, Jaroslaw, Chen, Lizhong, Tai, Charlie, Lee, Stefan, Walsh, Eoin, Long, Thomas
A growing number of service providers are exploring methods to improve server utilization and reduce power consumption by co-scheduling high-priority latency-critical workloads with best-effort workloads. This practice requires strict resource alloca
Externí odkaz:
http://arxiv.org/abs/2201.07916
Autor:
Daghaghi, Shabnam, Meisburger, Nicholas, Zhao, Mengnan, Wu, Yong, Gobriel, Sameh, Tai, Charlie, Shrivastava, Anshumali
Deep learning implementations on CPUs (Central Processing Units) are gaining more traction. Enhanced AI capabilities on commodity x86 architectures are commercially appealing due to the reuse of existing hardware and virtualization ease. A notable wo
Externí odkaz:
http://arxiv.org/abs/2103.10891
Autor:
Yuan, Yifan, Alian, Mohammad, Wang, Yipeng, Kurakin, Ilia, Wang, Ren, Tai, Charlie, Kim, Nam Sung
In modern server CPUs, last-level cache (LLC) is a critical hardware resource that exerts significant influence on the performance of the workloads, and how to manage LLC is a key to the performance isolation and QoS in the cloud with multi-tenancy.
Externí odkaz:
http://arxiv.org/abs/2007.04552
Autor:
Penney, Drew, Li, Bin, Sydir, Jaroslaw J., Chen, Lizhong, Tai, Charlie, Lee, Stefan, Walsh, Eoin, Long, Thomas
Publikováno v:
In Future Generation Computer Systems August 2023 145:164-175
Autor:
Chen, Beidi, Medini, Tharun, Farwell, James, Gobriel, Sameh, Tai, Charlie, Shrivastava, Anshumali
Deep Learning (DL) algorithms are the central focus of modern machine learning systems. As data volumes keep growing, it has become customary to train large neural networks with hundreds of millions of parameters to maintain enough capacity to memori
Externí odkaz:
http://arxiv.org/abs/1903.03129
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
2013 IEEE 19th International Symposium on High Performance Computer Architecture (HPCA); 2013, p508-519, 12p
Publikováno v:
IEEE Communications Magazine; Dec2001, Vol. 39 Issue 12, p104, 6p, 2 Diagrams