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pro vyhledávání: '"Srikant Bharadwaj"'
Publikováno v:
NOCS
The performance of graphics processing units (GPU) workloads can be sensitive to the various clock domains which are dynamically tunable in modern GPUs. In this work, we observe that GPU application performance is sensitive towards NoC clock frequenc
Autor:
Tushar Krishna, Srikant Bharadwaj
Publikováno v:
Network-on-Chip Security and Privacy ISBN: 9783030691301
With the end of Dennard scaling and slowing of Moore’s law, computer systems have become increasingly complex, with multiple processing units (multicore CPUs, GPUs, and other accelerators) integrated with an interconnection system. The high-demand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95e09c925eb22941ac25b3c5050ae60d
https://doi.org/10.1007/978-3-030-69131-8_2
https://doi.org/10.1007/978-3-030-69131-8_2
Publikováno v:
DAC
Recent advances in die-stacking and 2.5D chip integration technologies introduce in-package network heterogeneities that can complicate the interconnect design. Integrating chiplets over a silicon interposer offers new opportunities of optimizing int
Autor:
Bradford M. Beckmann, Tsung Tai Yeh, Xianwei Zhang, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Srikant Bharadwaj, Matthew D. Sinclair, Michael LeBeane, Sooraj Puthoor, Johnathan Alsop, Brandon Potter
Publikováno v:
IISWC
In recent years, machine intelligence (MI) applications have emerged as a major driver for the computing industry. Optimizing these workloads is important, but complicated. As memory demands grow and data movement overheads increasingly limit perform
Publikováno v:
MICRO
Recent studies have shown the potential of last-level TLBs shared by multiple cores in tackling memory translation performance challenges posed by "big data" workloads. A key stumbling block hindering their effectiveness, however, is their high acces