Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Eduard Mehofer"'
Publikováno v:
The Journal of Supercomputing. 78:17150-17177
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89ee73c900e9687b8add5adff8b07d97
https://doi.org/10.1007/s11227-022-04556-7
https://doi.org/10.1007/s11227-022-04556-7
Autor:
Valon Raca, Eduard Mehofer
Publikováno v:
The Journal of Supercomputing. 76:9976-10008
Heterogeneous cluster systems consisting of CPUs and different kinds of accelerators have become mainstream in HPC. Programming such systems is a difficult task and requires addressing manifold challenges that stem from the intricate composition of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32639e09c69def98c9b8f9b6291802ed
https://doi.org/10.1007/s11227-020-03234-w
https://doi.org/10.1007/s11227-020-03234-w
Publikováno v:
PDP
Heterogeneous cluster architectures with different types of compute devices are wide-spread in the field of high performance computing introducing new kind of challenges. Time-efficient distribution of work onto heterogeneous devices is much more int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87ea9a4d0b1e47f2e787c84605f2a76f
https://doi.org/10.1109/pdp.2016.68
https://doi.org/10.1109/pdp.2016.68
Autor:
Eduard Mehofer, Valon Raca
Publikováno v:
SBAC-PAD
Heterogeneous systems with different types of compute devices are common nowadays in the field of High Performance Computing (HPC). This heterogeneity is not limited to compute devices, but also includes cluster nodes with different hardware configur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d291c55cdbf12540af68975a8ed9c64e
https://doi.org/10.1109/sbac-pad.2015.15
https://doi.org/10.1109/sbac-pad.2015.15
This special issue of the International Journal of High Performance Computing Applications collects extended versions of the best three papers presented at the International Workshop on GPUs and Scientific Applications (GPUScA 2010) held in Vienna in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::456605b9f31e74965a4cec60a12e204d
http://hdl.handle.net/11591/200120
http://hdl.handle.net/11591/200120
Publikováno v:
Parallel Processing Letters. 13:525-536
Partial redundancy elimination (PRE) is a key technology for modern compilers. However traditional approaches are conservative and fail to exploit many opportunities for optimization. New PRE approaches which greatly increase the number of eliminated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::075311c1ba82797acf86a23587d829f9
https://doi.org/10.1142/s0129626403001483
https://doi.org/10.1142/s0129626403001483
Autor:
Jens Knoop, Eduard Mehofer
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 13:628-647
Data locality and workload balance are key factors for getting high performance out of data-parallel programs on multiprocessor architectures. Data-parallel languages such as High-Performance Fortran (HPF) thus offer means allowing a programmer both
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b49ac5c74eb051c5cc9c57b98ac77d0b
https://doi.org/10.1109/tpds.2002.1011416
https://doi.org/10.1109/tpds.2002.1011416
Autor:
Thomas Fahringer, J. Luitz, Peter Blaha, Andreas Hössinger, Hans Moritsch, Eduard Mehofer, Bernhard Scholz
Publikováno v:
Concurrency and Computation: Practice and Experience. 13:841-868
Several large real-world applications have been developed for distributed and parallel architectures. We examine two different program development approaches. First, the usage of a high-level programming paradigm which reduces the time to create a pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49282ece808e71171d05270c653502c8
https://doi.org/10.1002/cpe.586
https://doi.org/10.1002/cpe.586
Autor:
Eduard Mehofer, Thomas Fahringer
Publikováno v:
Journal of Parallel and Distributed Computing. 57:33-63
This paper presents a new approach for optimizing communication of data parallel programs. Our techniques are based on unidirectional bit-vector data flow analyses that enable vectorizing, coalescing and aggregating communication, and overlapping com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5e99afc3633f534fca64ef8fc566dd9
https://doi.org/10.1006/jpdc.1998.1512
https://doi.org/10.1006/jpdc.1998.1512