Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Siva Kumar Sastry Hari"'
Autor:
Michael B. Sullivan, Nirmal R. Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Kumar Sastry Hari, Stephen W. Keckler
Publikováno v:
IEEE Micro. 42:69-77
Publikováno v:
IEEE Transactions on Dependable and Secure Computing. 19:2546-2558
The ability of Convolutional Neural Networks (CNNs) to accurately process real-time telemetry has boosted their use in safety-critical and high-performance computing systems. As such systems require high levels of resilience to errors, CNNs must exec
Autor:
Bo Fang, Siva Kumar Sastry Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin Barker, Ang Li
Publikováno v:
2022 IEEE/ACM 12th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS).
Autor:
Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
Publikováno v:
2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).
Autor:
Michael J. Sullivan, Nirmal Saxena, Stephen W. Keckler, Mike O'Connor, Siva Kumar Sastry Hari, Saurabh Hukerikar, Paul Racunas, Timothy Tsai, Donghyuk Lee
Publikováno v:
MICRO
GPUs are used in high-reliability systems, including high-performance computers and autonomous vehicles. Because GPUs employ a high-bandwidth, wide-interface to DRAM and fetch each memory access from a single DRAM device, implementing full-device cor
Autor:
Hengyu Zhao, Siva Kumar Sastry Hari, Timothy Tsai, Michael B. Sullivan, Stephen W. Keckler, Jishen Zhao
Publikováno v:
2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE).
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).
Autor:
Jishen Zhao, Timothy Tsai, Stephen W. Keckler, Michael J. Sullivan, Siva Kumar Sastry Hari, Hengyu Zhao
Publikováno v:
DSN Workshops
This paper proposes an automated AV safety evaluation framework, Suraksha that quantifies and analyzes the sensitivities of different design parameters on AV safety. It employs a set of driving scenarios generated based on a user-specified difficulty
Publikováno v:
DSN
GPUs have found wide acceptance in domains such as high-performance computing and autonomous vehicles, which require fast processing of large amounts of data along with provisions for reliability, availability, and safety. A key component of these de
Publikováno v:
CVPR Workshops
An autonomous vehicle (AV) integrates sophisticated perception and localization components to create a model of the world around it, which is then used to navigate the vehicle safely. Machine learning (ML) based models are pervasively used in these c