Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Eddie C. Davis"'
Autor:
Anthony P. Machado, Thomas M. Green, Matthew L. Ferguson, Eddie C. Davis, Gaby G. Dagher, John S.F. Martin Jr.
Publikováno v:
Evolutionary Intelligence. 14:331-343
Nature has been using DNA to store biological data for millions of years, and finally humans are learning to use the same medium for our own data. In this paper, we survey the field of cellular DNA encoding, where encoding schemes are used to insert
Publikováno v:
Languages and Compilers for Parallel Computing ISBN: 9783030727888
LCPC
LCPC
Proto is a C++ embedded Domain Specific Library for stencil-based computations. Proto is augmented in this work with a polyhedral dataflow intermediate representation (IR). The IR exposes several promising transformations. Each IR instances produces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76163ebf10efb4de48c1ba447d637ebb
https://doi.org/10.1007/978-3-030-72789-5_10
https://doi.org/10.1007/978-3-030-72789-5_10
Autor:
Eddie C. Davis
This research presents an intermediate compiler representation that is designed for optimization, and emphasizes the temporary storage requirements and execution schedule of a given computation to guide optimization decisions. The representation is e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f5b7c81c63b3dadc45b2847181a6dbc
https://doi.org/10.18122/td/1654/boisestate
https://doi.org/10.18122/td/1654/boisestate
Publikováno v:
PACT
This poster introduces a compiler intermediate language designed for dataflow optimizations within a polyhedral framework. This intermediate representation describes computations at a high level, defines a set of loop and data transformations that ca
Autor:
Mary Hall, Tomofumi Yuki, Catherine Olschanowsky, Eddie C. Davis, Anand Venkat, Maryam Mehri Dehnavi, Mahdi Soltan Mohammadi, Kazem Cheshmi, Michelle Mills Strout, Payal Nandy
Publikováno v:
PLDI 2019-40th ACM SIGPLAN Conference on Programming Language Design and Implementation
PLDI 2019-40th ACM SIGPLAN Conference on Programming Language Design and Implementation, Jun 2019, Phoenix, United States. pp.594-609, ⟨10.1145/3314221.3314646⟩
PLDI
PLDI 2019-40th ACM SIGPLAN Conference on Programming Language Design and Implementation, Jun 2019, Phoenix, United States. pp.594-609, ⟨10.1145/3314221.3314646⟩
PLDI
This paper presents a combined compile-time and runtime loop-carried dependence analysis of sparse matrix codes and evaluates its performance in the context of wavefront parallellism. Sparse computations incorporate indirect memory accesses such as x
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6715ad047c28588e52e76476a047352
https://hal.inria.fr/hal-02396761
https://hal.inria.fr/hal-02396761
Publikováno v:
CGO
This paper describes an approach to performance optimization using modified macro dataflow graphs, which contain nodes representing the loops and data involved in the stencil computation. The targeted applications include existing scientific applicat
Autor:
Eddie C. Davis, Ian J. Bertolacci, Bronis R. de Supinski, Thomas R. W. Scogland, Michelle Mills Strout, Catherine Olschanowsky
Publikováno v:
Evolving OpenMP for Evolving Architectures ISBN: 9783319985206
IWOMP
IWOMP
OpenMP provides several mechanisms to specify parallel source-code transformations. Unfortunately, many compilers perform these transformations early in the translation process, often before performing traditional sequential optimizations, which can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50e3f4f167ae6dba3c141de4526ffc04
https://doi.org/10.1007/978-3-319-98521-3_4
https://doi.org/10.1007/978-3-319-98521-3_4
Autor:
Stephen M. Guzik, Ian J. Bertolacci, Eddie C. Davis, Jordan Riley, Catherine Olschanowsky, Michelle Mills Strout
Publikováno v:
International Journal of High Performance Computing and Networking. 13:86
Exposing opportunities for parallelisation while explicitly managing data locality is the primary challenge to porting and optimising computational science simulation codes to improve performance. ...