Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Arvind K. Sujeeth"'
Autor:
Tiark Rompf, Arvind K. Sujeeth, HyoukJoong Lee, Kevin J. Brown, Hassan Chafi, Martin Odersky, Kunle Olukotun
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 66, Iss Proc. DSL 2011, Pp 93-117 (2011)
Domain-specific languages raise the level of abstraction in software development. While it is evident that programmers can more easily reason about very high-level programs, the same holds for compilers only if the compiler has an accurate model of t
Externí odkaz:
https://doaj.org/article/d3d920cfecc04111a6bf38c1d0d6f628
Autor:
Tiark Rompf, HyoukJoong Lee, Kunle Olukotun, Christopher De Sa, Christopher R. Aberger, Arvind K. Sujeeth, Kevin J. Brown
Publikováno v:
CGO
High performance in modern computing platforms requires programs to be parallel, distributed, and run on heterogeneous hardware. However programming such architectures is extremely difficult due to the need to implement the application using multiple
Autor:
Arvind K. Sujeeth, Kunle Olukotun, HyoukJoong Lee, Martin Odersky, Kevin J. Brown, Hassan Chafi, Tiark Rompf
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 66, Iss Proc. DSL 2011, Pp 93-117 (2011)
Domain-specific languages raise the level of abstraction in software development. While it is evident that programmers can more easily reason about very high-level programs, the same holds for compilers only if the compiler has an accurate model of t
Autor:
Kevin J. Brown, Kunle Olukotun, Hassan Chafi, HyoukJoong Lee, Arvind K. Sujeeth, Anand R. Atreya
Publikováno v:
PPOPP
Exploiting heterogeneous parallel hardware currently requires mapping application code to multiple disparate programming models. Unfortunately, general-purpose programming models available today can yield high performance but are too low-level to be
Publikováno v:
MICRO
Recent work has explored using higher level languages to improve programmer productivity on GPUs. These languages often utilize high level computation patterns (e.g., Map and Reduce) that encode parallel semantics to enable automatic compilation to G
Autor:
Arvind K. Sujeeth, HyoukJoong Lee, Kunle Olukotun, Paolo Ienne, Tiark Rompf, David Novo, Nithin George, Kevin J. Brown, Martin Odersky
Publikováno v:
FPL
Field Programmable Gate Arrays (FPGAs) are very versatile devices, but their complicated programming model has stymied their widespread usage. While modern High-Level Synthesis (HLS) tools provide better programming models, the interface they offer i
Autor:
Arvind K. Sujeeth, Tiark Rompf, Kevin J. Brown, HyoukJoong Lee, Hassan Chafi, Victoria Popic, Michael Wu, Aleksandar Prokopec, Vojin Jovanovic, Martin Odersky, Kunle Olukotun
Publikováno v:
Composition and Reuse with Compiled Domain-Specific Languages.
Autor:
Tiark Rompf, Arvind K. Sujeeth, Nada Amin, Kevin J. Brown, Vojin Jovanovic, HyoukJoong Lee, Manohar Jonnalagedda, Kunle Olukotun, Martin Odersky
Publikováno v:
Optimizing Data Structures in High-Level Programs New Directions for Extensible Compilers based on S.
Autor:
Tiark Rompf, Arvind K. Sujeeth, HyoukJoong, Lee Kevin J. Brown, Hassan Chafi, Martin Odersky, Kunle Olukotun
Publikováno v:
Building-Blocks for Performance Oriented DSLs.
Autor:
Michael Wu, Victoria Popic, Martin Odersky, Kevin J. Brown, Hassan Chafi, Kunle Olukotun, HyoukJoong Lee, Tiark Rompf, Vojin Jovanovic, Aleksandar Prokopec, Arvind K. Sujeeth
Publikováno v:
ECOOP 2013 – Object-Oriented Programming ISBN: 9783642390371
ECOOP
ECOOP
Programmers who need high performance currently rely on low-level, architecture-specific programming models (e.g. OpenMP for CMPs, CUDA for GPUs, MPI for clusters). Performance optimization with these frameworks usually requires expertise in the spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff8e6802d5b1276d3da2628fd2d0551f
https://doi.org/10.1007/978-3-642-39038-8_3
https://doi.org/10.1007/978-3-642-39038-8_3