Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daya Shanker Khudia"'
Autor:
Ping Tak Peter Tang, Raghuraman Krishnamoorthi, Daya Shanker Khudia, Satish Nadathur, Jongsoo Park, Hector Yuen, Jianyu Huang, Maxim Naumov, Ellie Wen, Mikhail Smelyanskiy, Xiaohan Wei, Sam Naghshineh, Dhruv Choudhary, Jie Yang, Changkyu San Jose Kim, Haixin Liu, Deng Zhaoxia, Carole-Jean Wu
Publikováno v:
IEEE Micro. 41:93-100
Tremendous success of machine learning (ML) and the unabated growth in model complexity motivated many ML-specific designs in hardware architectures to speed up the model inference. While these architectures are diverse, highly optimized low-precisio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcd9d56841f7bd8d51b6f6565668bb69
https://doi.org/10.1109/mm.2021.3081981
https://doi.org/10.1109/mm.2021.3081981
Publikováno v:
IEEE Design & Test. 33:43-50
How to ensure the output quality is one of the most critical challenges in approximate computing. This paper presents an online quality management system in an approximate-accelerator-based computing environment that can effectively detect and correc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a794a32166512c21023675da0a87b19b
https://doi.org/10.1109/mdat.2015.2501306
https://doi.org/10.1109/mdat.2015.2501306
Publikováno v:
ICCAD
System-level validation is the most challenging phase of design verification. A common methodology in this context entails simulating the design under validation in lockstep with a high-level golden model, while comparing the architectural state of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de115829bf446668a5ced54e5df63cf8
https://doi.org/10.1145/2966986.2967010
https://doi.org/10.1145/2966986.2967010
Publikováno v:
ISCA
Approximate computing can be employed for an emerging class of applications from various domains such as multimedia, machine learning and computer vision. The approximated output of such applications, even though not 100% numerically correct, is ofte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f4cd65936a4dc0962424f1087b5be85
https://doi.org/10.1145/2749469.2750371
https://doi.org/10.1145/2749469.2750371
Autor:
Daya Shanker Khudia, Scott Mahlke
Publikováno v:
MICRO
A growing number of applications from various domains such as multimedia, machine learning and computer vision are inherently fault tolerant. However, for these soft workloads, not all computations are fault tolerant (e.g., a loop trip count). In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::037a5ea7c93242518d2104d333065e09
https://doi.org/10.1109/micro.2014.33
https://doi.org/10.1109/micro.2014.33
Publikováno v:
SC
As cache hierarchies become deeper and the number of cores on a chip increases, managing caches becomes more important for performance and energy. However, current hardware cache management policies do not always adapt optimally to the applications b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8ee8c030a0b742b0ee06a07c44d9bfa
https://doi.org/10.1145/2503210.2503224
https://doi.org/10.1145/2503210.2503224
Autor:
Daya Shanker Khudia, Scott Mahlke
Publikováno v:
LCTES
The continual trend of shrinking feature sizes and reducing voltage levels makes transistors faster and more efficient. However, it also makes them more susceptible to transient hardware faults. Transient faults due to high energy particle strikes or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4f4086ff20a2641e4bd2be9683af6b4
https://doi.org/10.1145/2465554.2465568
https://doi.org/10.1145/2465554.2465568
Publikováno v:
LCTES
Successive generations of processors use smaller transistors in the quest to make more powerful computing systems. It has been previously studied that smaller transistors make processors more susceptible to soft errors (transient faults caused by hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8e745261ec936d2be9d7f4b85e66bd5
https://doi.org/10.1145/2248418.2248433
https://doi.org/10.1145/2248418.2248433