Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Alexander Matthes"'
Autor:
Bernhard Manfred Gruber, Guilherme Amadio, Jakob Blomer, Alexander Matthes, René Widera, Michael Bussmann
Publikováno v:
Software: Practice and Experience 53(2023)1, 115-141
The performance gap between CPU and memory widens continuously. Choosing the best memory layout for each hardware architecture is increasingly important as more and more programs become memory bound. For portable codes that run across heterogeneous h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf479e91eb7835b15ee2e309686b9a95
https://doi.org/10.1002/spe.3077
https://doi.org/10.1002/spe.3077
Autor:
Axel Huebl, René Widera, Richard Pausch, Marco Garten, Heiko Burau, Alexander Matthes, Benjamin Worpitz, Fabian Koller, Thomas Kluge, Jan Vorberger, Alexander Debus, Thomas Cowan, Ulrich Schramm, Hyun-Kyung Chung, Michael Bussmann
PIConGPU reportedly is the fastest particle-in-cell code in the world with respect to sustained Flop/s. Written in performance-portable, single-source C++ we constantly push the envelope towards Exascale laser-plasma modeling. However, solving previo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e96bd5b6b9182d7c2acff67a4acfbaa
Autor:
Jong Youl Choi, Scott Klasky, Felix Schmitt, René Widera, Norbert Podhorszki, Alexander Matthes, Michael Bussmann, Axel Huebl
Publikováno v:
The 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD-1) co-located with ISC High Performance, 18.-22.06.2017, Frankfurt, DeutschlandHigh Performance Computing, Vol. 10524, 15-19
Lecture Notes in Computer Science ISBN: 9783319676296
ISC Workshops
Lecture Notes in Computer Science
Lecture Notes in Computer Science-High Performance Computing
The 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD-1) co-located with ISC High Performance, 18.-22.06.2017, Frankfurt, Deutschland
Lecture Notes in Computer Science ISBN: 9783319676296
ISC Workshops
Lecture Notes in Computer Science
Lecture Notes in Computer Science-High Performance Computing
The 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD-1) co-located with ISC High Performance, 18.-22.06.2017, Frankfurt, Deutschland
We implement and benchmark parallel I/O methods for the fully-manycore driven particle-in-cell code PIConGPU. Identifying throughput and overall I/O size as a major challenge for applications on today's and future HPC systems, we present a scaling la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9e07f05ec0d298b07895eb9927109e1
Publikováno v:
2nd International Workshop on Performance Portable Programming Models for Accelerators (P^3MA), 22.06.2017, Frankfurt am Main, DeutschlandISC High Performance 2017: High Performance Computing, Vol 10524, 496-514
Lecture Notes in Computer Science
Lecture Notes in Computer Science-High Performance Computing
2nd International Workshop on Performance Portable Programming Models for Accelerators (P^3MA), 22.06.2017, Frankfurt am Main, Deutschland
International Conference on High Performance Computing
Lecture Notes in Computer Science ISBN: 9783319676296
ISC Workshops
Lecture Notes in Computer Science
Lecture Notes in Computer Science-High Performance Computing
2nd International Workshop on Performance Portable Programming Models for Accelerators (P^3MA), 22.06.2017, Frankfurt am Main, Deutschland
International Conference on High Performance Computing
Lecture Notes in Computer Science ISBN: 9783319676296
ISC Workshops
We present an analysis on optimizing performance of a single C++11 source code using the Alpaka hardware abstraction library. For this we use the general matrix multiplication (GEMM) algorithm in order to show that compilers can optimize Alpaka code
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ea4a6a8c537f77a3b94a1ea4165f117
https://www.hzdr.de/publications/Publ-25482-1
https://www.hzdr.de/publications/Publ-25482-1
Autor:
Sebastian Grottel, René Widera, Stefan Gumhold, Michael Bussmann, Alexander Matthes, Axel Huebl
Publikováno v:
Supercomputing Frontiers and Innovations
Supercomputing Frontiers and Innovations 3(2016)4, 30-48
Supercomputing Frontiers and Innovations 3(2016)4, 30-48
The computation power of supercomputers grows faster than the bandwidth of their storage and network. Especially applications using hardware accelerators like Nvidia GPUs cannot save enough data to be analyzed in a later step. There is a high risk of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d698b490a3e1c9648ca860b9b1a67b9a
Autor:
Johnson, Jason1
Publikováno v:
German Politics & Society. Summer2019, Vol. 37 Issue 2, p23-43. 21p.
Autor:
Gruber, Bernhard Manfred, Amadio, Guilherme, Blomer, Jakob, Matthes, Alexander, Widera, René, Bussmann, Michael
Publikováno v:
Software: Practice & Experience; Jan2023, Vol. 53 Issue 1, p115-141, 27p
Publikováno v:
Brauwelt; 12/16/2021, Vol. 161 Issue 50, p1277-1277, 1p
Autor:
Huebl, Axel, Widera, René, Schmitt, Felix, Matthes, Alexander, Podhorszki, Norbert, Choi, Jong Youl, Klasky, Scott, Bussmann, Michael
Talk presented at "The 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD-1)" held in conjunction with ISC 2017 in Frankfurt, Germany. Accompanying the paper with the same title.
This project has received funding from th
This project has received funding from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::193f8bc1389812b8b41256cc879b529f
Publikováno v:
West County Journal; 11/7/2012, Vol. 48 Issue 45, pB3-B7, 5p