Acceleration Techniques for FETI Solvers for GPU Accelerators
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F18%3A10240250" target="_blank" >RIV/61989100:27740/18:10240250 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8514396" target="_blank" >https://ieeexplore.ieee.org/document/8514396</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/HPCS.2018.00091" target="_blank" >10.1109/HPCS.2018.00091</a>
Alternative languages
Result language
angličtina
Original language name
Acceleration Techniques for FETI Solvers for GPU Accelerators
Original language description
In this paper we evaluate several approaches to performing simultaneous matrix-vector multiplication of large numbers of matrices on a GPU accelerator. The goal of this evaluation is to develop efficient techniques for massively parallel Hybrid Total FETI solvers in our ESPRESO library. FETI solvers generally use sparse matrices. To overcome this we previously proposed the Local Schur Complement method for FETI to convert sparse matrices to their dense representation, without significantly increasing the memory requirements of the GPU accelerator. We selected the following techniques: standard GEMV, CUDA streams, dynamic parallelism, batched GEMM, BSR GEMV and HYB GEMV. Our results show that (i) if a FETI solver contains a large number of small matrices i.e. there is large number of small subdomains, then the best approach is dynamic parallelism; (ii) if there is small number of large subdomains, then the optimal approaches are dynamic parallelism and CUDA streams. Please note that Local Schur Complement method in conjunction with Hybrid Total FETI perform better with smaller subdomains.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LM2015070" target="_blank" >LM2015070: IT4Innovations National Supercomputing Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2018 International Conference on High Performance Computing & Simulation (HPCS) : proceedings
ISBN
978-1-5386-7879-4
ISSN
—
e-ISSN
neuvedeno
Number of pages
8
Pages from-to
546-553
Publisher name
IEEE
Place of publication
Vienna
Event location
orelans
Event date
Jul 16, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000450677700074