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of 58
pro vyhledávání: '"Ehsan Atoofian"'
Publikováno v:
IEEE Access, Vol 12, Pp 125856-125870 (2024)
Noisy intermediate-scale quantum (NISQ) computers face significant reliability challenges because they are vulnerable to quantum noise, which severely limits their fidelity in quantum applications. In particular, deep circuits with a large number of
Externí odkaz:
https://doaj.org/article/05af2a59ce944701ad0d7e7fd1dd7ac5
Autor:
Ehsan Atoofian
Publikováno v:
Journal of Parallel and Distributed Computing. 173:70-82
Publikováno v:
2022 IEEE International Conference on Networking, Architecture and Storage (NAS).
Autor:
Ehsan Atoofian
Publikováno v:
2022 IEEE International Conference on Networking, Architecture and Storage (NAS).
Autor:
Ehsan Atoofian
Publikováno v:
IEEE Embedded Systems Letters. 13:25-28
This letter presents trivial bypassing to detect and skip execution of trivial instructions in general-purpose graphics processing units (GPGPUs). During the execution of a program, a significant number of instructions are trivial; that is, the instr
Autor:
Sohrab Sajadimanesh, Ehsan Atoofian
Publikováno v:
Microprocessors and Microsystems. 98:104800
Publikováno v:
ACM Transactions on Embedded Computing Systems. 20:1-27
General-purpose computing using graphics processing units (GPGPUs) is an attractive option for acceleration of applications with massively data-parallel tasks. While performance of modern GPGPUs is increasing rapidly, the power consumption of these d
Publikováno v:
Proceedings of the 19th ACM International Conference on Computing Frontiers.
Autor:
Ehsan Atoofian
Publikováno v:
ACM Transactions on Embedded Computing Systems. 19:1-22
There is a growing number of application domains ranging from multimedia to machine learning where a certain level of inexactness can be tolerated. For these applications, approximate computing is an effective technique that trades off some loss in o
Autor:
Ehsan Atoofian, Amirali Baniasadi, Milad Mohammadi, Tor M. Aamodt, William J. Dally, Song Han
Publikováno v:
IEEE Transactions on Computers. 69:453-465
The branch predictor unit (BPU) is among the main energy consuming components in out-of-order (OoO) processors. For integer applications, we find 16 percent of the processor energy is consumed by the BPU. BPU is accessed in parallel with the instruct