Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Erich Focht"'
Publikováno v:
Future Generation Computer Systems. 143:152-162
Publikováno v:
Sustained Simulation Performance 2021 ISBN: 9783031180453
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71daa4558a9a03a83ca06fb40d522b78
https://doi.org/10.1007/978-3-031-18046-0_2
https://doi.org/10.1007/978-3-031-18046-0_2
Publikováno v:
2021 IEEE/ACM 11th Workshop on Irregular Applications: Architectures and Algorithms (IA3).
Publikováno v:
Datenbank-Spektrum. 19:183-197
In-memory column-store database systems are state of the art for the efficient processing of analytical workloads. In these systems, data compression as well as vectorization play an important role. Currently, the vectorized processing is done using
Autor:
Hiroaki Kobayashi, Kazuhiko Komatsu, Erich Focht, Soya Fujimoto, Masayuki Sato, Akito Onodera, Shintaro Momose, Yoko Isobe
Publikováno v:
Supercomputing Frontiers and Innovations. 8
The performance of recent computing systems has drastically improved due to the increase in the number of cores. However, this approach is reaching the limitation due to the power constraints of facilities. Instead, this paper focuses on a vector pro
Publikováno v:
Supercomputing Frontiers and Innovations. 8
In computer-aided drug design, the rapid identification of drugs is critical for combating diseases. A key method in this field is molecular docking, which aims to predict the interactions between two molecules. Molecular docking involves long simula
Autor:
Erich Focht
Publikováno v:
Sustained Simulation Performance 2019 and 2020 ISBN: 9783030680480
Vector Engine Offloading (VEO) was the first implementation of an API for programming the SX-Aurora Tsubasa Vector Engine (VE) like an accelerator, i.e. writing programs for the host CPU which call certain offloading kernels running on the VE. The na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::933fb05c76d0316ac947da19657366a8
https://doi.org/10.1007/978-3-030-68049-7_3
https://doi.org/10.1007/978-3-030-68049-7_3
Publikováno v:
PPoPP
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Sparse Matrix-Vector multiplication (SpMV) is an essential kernel for parallel numerical applications. SpMV displays sparse and irregular data accesses, which complicate its vectorization. Such difficulties make SpMV to frequently experiment non-opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b98e14d595764c22a08eb6bce1a3ebef
https://hdl.handle.net/2117/349246
https://hdl.handle.net/2117/349246
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783030432287
PPAM (1)
PPAM (1)
Driven by the heterogeneity trend in modern supercomputers, OpenMP provides support for heterogeneous systems since 2013. Having a single programming model for all kinds of accelerator-based systems decreases the burden of code porting to different d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59d4b24b010cd5737228afc279b685b9
https://doi.org/10.1007/978-3-030-43229-4_21
https://doi.org/10.1007/978-3-030-43229-4_21
Autor:
Erich Focht
Publikováno v:
Sustained Simulation Performance 2018 and 2019 ISBN: 9783030391805
The SX-Aurora Tsubasa Vector Engine (VE) is NEC’s latest instantiation of their long vector architecture for high performance computing and AI with large HBM2 memory of 48 GB and high memory bandwidth of 1.2 TB/s. It is completely different from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6326798e1c357399ea9799eb61bd7e08
https://doi.org/10.1007/978-3-030-39181-2_9
https://doi.org/10.1007/978-3-030-39181-2_9