Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Sarita V. Adve"'
Autor:
Muhammad Huzaifa, Rishi Desai, Samuel Grayson, Xutao Jiang, Ying Jing, Jae Lee, Fang Lu, Yihan Pang, Joseph Ravichandran, Finn Sinclair, Boyuan Tian, Hengzhi Yuan, Jeffrey Zhang, Sarita V. Adve
Publikováno v:
IEEE Micro. 42:97-106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8d668bfbcbb54f25876f8778fa14ff1
https://doi.org/10.1109/mm.2022.3161018
https://doi.org/10.1109/mm.2022.3161018
Autor:
Sarita V. Adve, Matthew D. Sinclair, Muhammad Huzaifa, Johnathan Alsop, Giordano Salvador, Abdulrahman Mahmoud
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 17:1-27
As GPUs have become more programmable, their performance and energy benefits have made them increasingly popular. However, while GPU compute units continue to improve in performance, on-chip memories lag behind and data accesses are becoming increasi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::806a03c1f720d78b5e4e138b34a82b21
https://doi.org/10.1145/3406538
https://doi.org/10.1145/3406538
Autor:
Muhammad Huzaifa, Rishi Desai, Samuel Grayson, Xutao Jiang, Ying Jing, Jae Lee, Fang Lu, Yihan Pang, Joseph Ravichandran, Finn Sinclair, Boyuan Tian, Hengzhi Yuan, Jeffrey Zhang, Sarita V. Adve
Publikováno v:
2021 IEEE International Symposium on Workload Characterization (IISWC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d3997d39aba5cb4ce4c27bd16932ab6
https://doi.org/10.1109/iiswc53511.2021.00014
https://doi.org/10.1109/iiswc53511.2021.00014
Autor:
Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler
Publikováno v:
2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6384e8fb7afcf899941318981fb7692
https://doi.org/10.1109/issre52982.2021.00025
https://doi.org/10.1109/issre52982.2021.00025
Autor:
Nathan Zhao, Vikram Adve, Muhammad Huzaifa, Keyur Joshi, Maria Kotsifakou, Prakalp Srivastava, Sarita V. Adve, Hashim Sharif, Yasmin Sarita, Sasa Misailovic
Publikováno v:
Proceedings of the ACM on Programming Languages. 3:1-30
We propose ApproxHPVM, a compiler IR and system designed to enable accuracy-aware performance and energy tuning on heterogeneous systems with multiple compute units and approximation methods. ApproxHPVM automatically translates end-to-end application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9bd4589fafeb08378e0b1c2caf21a41
https://doi.org/10.1145/3360612
https://doi.org/10.1145/3360612
Autor:
Maria Kotsifakou, Yifan Zhao, Keyur Joshi, Akash Kothari, Nathan Zhao, Ben Schreiber, Sarita V. Adve, Vikram Adve, Sasa Misailovic, Yasmin Sarita, Hashim Sharif, Elizabeth Wang
Publikováno v:
PPoPP
Manually optimizing the tradeoffs between accuracy, performance and energy for resource-intensive applications with flexible accuracy or precision requirements is extremely difficult. We present ApproxTuner, an automatic framework for accuracy-aware
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ca3aa993046b107e8e59ae9b21fa083
https://doi.org/10.1145/3437801.3446108
https://doi.org/10.1145/3437801.3446108
Autor:
Sarita V. Adve
Publikováno v:
PACT
The end of Dennard scaling and Moore's law is driving transformational change in hardware, leading to a rise in specialized, domain-specific heterogeneous systems. There is an accompanying explosion of sophisticated applications deployed at the edge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa55f1a51e3af0d18366ff8b9f42b256
https://doi.org/10.1145/3410463.3418601
https://doi.org/10.1145/3410463.3418601
Autor:
Alex Nobbe, Siva Kumar Sastry Hari, Iuri Frosio, Jose Rodrigo Sanchez Vicarte, Christopher W. Fletcher, Abdulrahman Mahmoud, Sarita V. Adve, Neeraj Aggarwal
Publikováno v:
DSN Workshops
PyTorchFI is a runtime perturbation tool for deep neural networks (DNNs), implemented for the popular PyTorch deep learning platform. PyTorchFI enables users to perform perturbations on weights or neurons of DNNs at runtime. It is designed with the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b3c0b8dbe1c044fa68d9a405828c333
https://doi.org/10.1109/dsn-w50199.2020.00014
https://doi.org/10.1109/dsn-w50199.2020.00014
Autor:
Johnathan Alsop, Wesley H. Darvin, Giordano Salvador, Sarita V. Adve, Muhammad Huzaifa, Matthew D. Sinclair
Publikováno v:
ISPASS
This work provides the first study to explore the interaction of update propagation with and without fine-grained synchronization (push vs. pull), emerging coherence protocols (GPU vs. DeNovo coherence), and software-centric consistency models (DRF0,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34cda0a77bd0705afdf636d286cb0064
Autor:
Sarita V. Adve, Vikram Adve, Matthew D. Sinclair, Prakalp Srivastava, Maria Kotsifakou, Rakesh Komuravelli
Publikováno v:
PPOPP
We propose a parallel program representation for heterogeneous systems, designed to enable performance portability across a wide range of popular parallel hardware, including GPUs, vector instruction sets, multicore CPUs and potentially FPGAs. Our re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbd9f342fb2a1449b13fa7d5472f9cbb
https://doi.org/10.1145/3200691.3178493
https://doi.org/10.1145/3200691.3178493