Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Charith Mendis"'
Autor:
Yufeng Wang, Charith Mendis
Publikováno v:
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming.
Publikováno v:
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2.
Publikováno v:
Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation.
Publikováno v:
ASPLOS
Vector instructions are ubiquitous in modern processors. Traditional compiler auto-vectorization techniques have focused on targeting single instruction multiple data (SIMD) instructions. However, these auto-vectorization techniques are not sufficien
Publikováno v:
MICRO
CPU simulators are useful tools for modeling CPU execution behavior. However, they suffer from inaccuracies due to the cost and complexity of setting their fine-grained parameters, such as the latencies of individual instructions. This complexity ari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::317e5ca3588d1fc54bda9ad8289838be
http://arxiv.org/abs/2010.04017
http://arxiv.org/abs/2010.04017
Autor:
Charith Mendis, Lawrence Rauchwerger
This book constitutes the thoroughly refereed post-conference proceedings of the 35th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2022, held in Chicago, IL, USA, in October 2022. The 9 revised full papers were caref
Autor:
Charith Mendis, Saman Amarasinghe, Eric Atkinson, Ajay Brahmakshatriya, Alex Renda, Michael Carbin, Yishen Chen, Ondrej Sykora
Publikováno v:
MIT web domain
IISWC
IISWC
Compilers and performance engineers use hardware performance models to simplify program optimizations. Performance models provide a necessary abstraction over complex modern processors. However, constructing and maintaining a performance model can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8ec320421441139589eb0ab66b35930
https://hdl.handle.net/1721.1/128755
https://hdl.handle.net/1721.1/128755
Publikováno v:
CC
arXiv
arXiv
Modern microprocessors are equipped with Single Instruction Multiple Data (SIMD) or vector instructions which expose data level parallelism at a fine granularity. Programmers exploit this parallelism by using low-level vector intrinsics in their code
Autor:
Saman Amarasinghe, Charith Mendis
Modern microprocessors are equipped with single instruction multiple data (SIMD) or vector instruction sets which allow compilers to exploit superword level parallelism (SLP), a type of fine-grained parallelism. Current SLP auto-vectorization techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ff813be1950f876871db1fbab75d79b
http://arxiv.org/abs/1804.08733
http://arxiv.org/abs/1804.08733
Publikováno v:
other univ website
IEEE BigData
IEEE BigData
Modern hardware systems are heavily underutilized when running large-scale graph applications. While many in-memory graph frameworks have made substantial progress in optimizing these applications, we show that it is still possible to achieve up to 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec185a0aeeca21ad3dadb92dd716d4c9
https://hdl.handle.net/1721.1/137371
https://hdl.handle.net/1721.1/137371