Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Siddhisanket Raskar"'
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 513 (2024)
Tuning tensor program generation involves navigating a vast search space to find optimal program transformations and measurements for a program on the target hardware. The complexity of this process is further amplified by the exponential combination
Externí odkaz:
https://doaj.org/article/fbbf249cbaee42f888112982dfb82c3f
Publikováno v:
Proceedings of the 14th International Workshop on Programming Models and Applications for Multicores and Manycores.
Autor:
Murali Emani, Zhen Xie, Siddhisanket Raskar, Varuni Sastry, William Arnold, Bruce Wilson, Rajeev Thakur, Venkatram Vishwanath, Zhengchun Liu, Michael E. Papka, Cindy Orozco Bohorquez, Rick Weisner, Karen Li, Yongning Sheng, Yun Du, Jian Zhang, Alexander Tsyplikhin, Gurdaman Khaira, Jeremy Fowers, Ramakrishnan Sivakumar, Victoria Godsoe, Adrian Macias, Chetan Tekur, Matthew Boyd
Publikováno v:
2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Autor:
Dawson Fox, Guang R. Gao, Jose Monsalve Diaz, Siddhisanket Raskar, Ryan Kabrick, Diego A. Roa Perdomo
Publikováno v:
IPDRM@SC
Since IBM first introduced the Instruction Set Architecture (ISA), there has been tremendous research conducted on novel hardware architectures and new high-level software frameworks, perhaps to a fault. With innovation came an ever growing gap betwe
Autor:
Diego A. Roa Perdomo, Ryan Kabrick, Jose Monsalve Diaz, Siddhisanket Raskar, Dawson Fox, Guang R. Gao
Publikováno v:
IPDRM@SC
Scientists running applications on high performance computers expect these systems to deliver a high throughput effectively and reliably, while maintaining flexibility, programmability and energy efficiency. Programs are usually translated from a cod
Publikováno v:
COMPSAC (2)
Trends in processor and system architecture, driven by power and complexity, point super-computing landscape toward very high and heterogeneous core count designs. As the number of cores inevitably increase traditional ways of performing large scale
Publikováno v:
COMPSAC (2)
Brain-inspired computing is a novel computing technology based on neural morphological engineering, which draws lessons from methods of human brain information processing and storage. Combining with the high-performance computing (HPC) platform, they
Publikováno v:
Applied Sciences (2076-3417); Jan2024, Vol. 14 Issue 2, p513, 20p