Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ahmed Eleliemy"'
Publikováno v:
Future Generation Computer Systems. 111:617-633
Scientific applications often contain large, computationally-intensive, and irregular parallel loops or tasks that exhibit stochastic behavior leading to load imbalance. Load imbalance often manifests during the execution of parallel scientific appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb9824c26526341696b65d13395c7f62
https://doi.org/10.1016/j.future.2019.10.007
https://doi.org/10.1016/j.future.2019.10.007
Autor:
Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaž Kosar, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pınar Tözün, Wojciech Ulatowski, Yuanyuan Wang, Izajasz Wrosz, Aleš Zamuda, Ce Zhang, Xiao Xiang Zhu, Alexander Krause
Publikováno v:
Damme, P, Birkenbach, M, Bitsakos, C, Boehm, M, Bonnet, P, Ciorba, F, Dokter, M, Dowgiallo, P, Eleliemy, A, Faerber, C, Goumas, G, Habich, D, Hedam, N, Hofer, M, Huang, W, Innerebner, K, Karakostas, V, Kern, R, Kosar, T, Krause, A, Krems, D, Laber, A, Lehner, W, Mier, E, Paradies, M, Peischl, B, Poerwawinata, G, Psomadakis, S, Rabl, T, Ratuszniak, P, Silva, P, Skuppin, N, Starzacher, A, Steinwender, B, Tolovski, I, Tözün, P, Ulatowski, W, Wang, Y, Wrosz, I, Zamuda, A, Zhang, C & Zhu, X X 2022, DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines . in Conference on Innovative Data Systems Research . Santa Cruz, California, USA . < http://cidrdb.org/cidr2022/papers/p4-damme.pdf >
Benjamin Steinwender
Benjamin Steinwender
Integrated data analysis (IDA) pipelines---that combine data management (DM) and query processing, high-performance computing (HPC), and machine learning (ML) training and scoring---become increasingly common in practice. Interestingly, systems of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ef97c54fb73d8eceb46f77197e7fe80d
https://pure.itu.dk/ws/files/86467917/CIDR2022.pdf
https://pure.itu.dk/ws/files/86467917/CIDR2022.pdf
Autor:
Nina Ihde, Paula Marten, Ahmed Eleliemy, Gabrielle Poerwawinata, Pedro Silva, Ilin Tolovski, Florina M. Ciorba, Tilmann Rabl
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030944360
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f864e672b502f9a3b59d126c7605d5f7
https://doi.org/10.1007/978-3-030-94437-7_7
https://doi.org/10.1007/978-3-030-94437-7_7
Increasing node and cores-per-node counts in supercomputers render scheduling and load balancing critical for exploiting parallelism. OpenMP applications can achieve high performance via careful selection of scheduling kind and chunk parameters on a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef8fb37979679ff39908a7977842cd6d
Autor:
Florina M. Ciorba, Ahmed Eleliemy
Publikováno v:
IPDPS Workshops
Computationally-intensive loops are the primary source of parallelism in scientific applications. Such loops are often irregular and a balanced execution of their loop iterations is critical for achieving high performance. However, several factors ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c3460d8ac641d9fdf3e1d29abe0e507
https://doi.org/10.1109/ipdpsw.2019.00117
https://doi.org/10.1109/ipdpsw.2019.00117
Autor:
Florina M. Ciorba, Ahmed Eleliemy
Publikováno v:
PDP
Scientific applications often contain large computationally-intensive parallel loops. Loop scheduling techniques aim to achieve load balanced executions of such applications. For distributed-memory systems, existing dynamic loop scheduling (DLS) libr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc7eeda0572293c10f0362f6ccb69a21
https://doi.org/10.1109/empdp.2019.8671619
https://doi.org/10.1109/empdp.2019.8671619
Autor:
Florina M. Ciorba, Ahmed Eleliemy
Publikováno v:
Journal of Computational Science. 51:101284
Loop scheduling techniques aim to achieve load-balanced executions of scientific applications. Dynamic loop self-scheduling (DLS) libraries for distributed-memory systems are typically MPI-based and employ a centralized chunk calculation approach (CC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::427bda3a645d81585c4f0a669eaa9858
https://doi.org/10.1016/j.jocs.2020.101284
https://doi.org/10.1016/j.jocs.2020.101284
Publikováno v:
Linköping Electronic Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51cb35b9befb9305bed01b0cafb73c7d
https://doi.org/10.3384/ecp17142673
https://doi.org/10.3384/ecp17142673
Publikováno v:
HPCS
Scientific applications are complex, large, and often exhibit irregular and stochastic behavior. The use of efficient loop scheduling techniques, from static to fully dynamic, in computationally-intensive applications is crucial for improving their p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::958b64e9f4224f63b11d9505defe7309
http://arxiv.org/abs/1805.07998
http://arxiv.org/abs/1805.07998
Publikováno v:
ISPDC
Scientific applications are often irregular and characterized by large computationally-intensive parallel loops. Dynamic loop scheduling (DLS) techniques improve the performance of computationally-intensive scientific applications via load balancing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60507e1af14fa134c90325e2f7b4ac61