Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Marina Chen"'
Autor:
Marina Chen, Jingke Li
Publikováno v:
Journal of Parallel and Distributed Computing. 13:213-221
Programming distributed-memory machines requires that the data associated with a given computation be partitioned and distributed to the local storage of each individual processor. How this distribution is done affects the amount of data movement req
Publikováno v:
Parallel functional languages and compilers. :255-308
Publikováno v:
Languages, Compilers and Run-Time Systems for Scalable Computers ISBN: 9781461359791
Several particle simulation algorithms, such as the Barnes-Hut [1] and the Fast Multipole method [2], proceed by hierarchically decomposing the simulation space and representing the distribution of the simulated particles in an adaptive tree data str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82042b222057342b00aa2b0516b8f255
https://doi.org/10.1007/978-1-4615-2315-4_28
https://doi.org/10.1007/978-1-4615-2315-4_28
Publikováno v:
Scientific Programming, Vol 2, Iss 4, Pp 179-192 (1993)
This article reports on experiments from our ongoing project whose goal is to develop a C++ library which supports adaptive and irregular data structures on distributed memory supercomputers. We demonstrate the use of our abstractions in implementing
Autor:
James H. Cowie, Marina Chen
Publikováno v:
PLDI
Massively parallel architectures, and the languages used to program them, are among both the most difficult and the most rapidly-changing subjects for compilation. This has created a demand for new compiler prototyping technologies that allow novel s
This paper presents our position towards the issues raised by the program committee. It describes the Crystal language, its parallelizing compiler, and the performance of two benchmarks on four kinds of parallel machines. We show how a high level pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b4a5235c15d7d58db5bff271fd8c88e
https://doi.org/10.1016/b978-0-444-88712-2.50016-0
https://doi.org/10.1016/b978-0-444-88712-2.50016-0
Autor:
Lee-Chung Lu, Marina Chen
This paper presents new loop transformation techniques that can extract more parallelism from a class of programs than existing techniques. A formal mathematical framework which unifies the existing loop transformation techniques is given. We classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c21f501aa49b3cff0fa3513fb041082
https://doi.org/10.21236/ada249325
https://doi.org/10.21236/ada249325
Autor:
Marina Chen, Jingke Li
This paper presents methods for ensuring correct synchronization and scheduling of message-passing in the context of compiling shared-memory programs onto distributed-memory machines. We show that from a given source loop nest, there corresponds a ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f44b448cf966e5be7ec8d1d89de85dda
https://doi.org/10.21236/ada249324
https://doi.org/10.21236/ada249324
Autor:
Marina Chen, Young-il Choo
This paper addresses the issue of how to make the task of writing correct and efficient parallel programs easier. Domain morphism is a new construct for specifying parallel-program optimization at a high level, and enables an equational program trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9d9cc79571c3a0f46214839f4c2cff8
https://doi.org/10.21236/ada249322
https://doi.org/10.21236/ada249322