Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Pavan Balaji"'
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 34:123-140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e187370d3ce4401f485952b8e1ff424f
https://doi.org/10.1109/tpds.2022.3215942
https://doi.org/10.1109/tpds.2022.3215942
Autor:
Hui Zhou, Martin Berzins, Damodar Sahasrabudhe, Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 32:3038-3052
Supercomputing applications are increasingly adopting the MPI+threads programming model over the traditional “MPI everywhere” approach to better handle the disproportionate increase in the number of cores compared with other on-node resources. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::882be572bd1eac09c46f8d3673acdbff
https://doi.org/10.1109/tpds.2021.3075157
https://doi.org/10.1109/tpds.2021.3075157
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 31:2734-2748
Data analytics has become an integral part of large-scale scientific computing. Among various data analytics frameworks, MapReduce has gained the most traction. Although some efforts have been made to enable efficient MapReduce for supercomputing sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e8c9188f6bd17fb77155534332edf5c
https://doi.org/10.1109/tpds.2019.2932066
https://doi.org/10.1109/tpds.2019.2932066
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 31:1859-1877
User-level threads have been widely adopted as a means of achieving lightweight concurrent execution without the costs of OS-level threads. Nevertheless, the costs of managing user-level threads represent a performance barrier that dictates how fine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fbe085ac70f75c1da997ab3bfeb527e
https://doi.org/10.1109/tpds.2020.2976057
https://doi.org/10.1109/tpds.2020.2976057
Publikováno v:
OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Exascale and Smart Networks ISBN: 9783031048876
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::032a353f99bcf70249c18ccf5d7edb27
https://doi.org/10.1007/978-3-031-04888-3_3
https://doi.org/10.1007/978-3-031-04888-3_3
Publikováno v:
CLUSTER
MPI provides nonblocking point-to-point and one-sided communication models to help applications achieve communication and computation overlap. These models provide the opportunity for MPI to offload data transfer to low level network hardware while t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e214f514c4c2470ad0875309549e96e8
https://doi.org/10.1109/cluster48925.2021.00027
https://doi.org/10.1109/cluster48925.2021.00027
Publikováno v:
Interdisciplinary Sciences: Computational Life Sciences. 12:99-108
Counting the abundance of all the distinct kmers in biological sequence data is a fundamental step in bioinformatics. These applications include de novo genome assembly, error correction, etc. With the development of sequencing technology, the sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54217edd5ece957aa4018610ecc48ecc
https://doi.org/10.1007/s12539-019-00348-5
https://doi.org/10.1007/s12539-019-00348-5
Publikováno v:
ACM Transactions on Parallel Computing. 6:1-34
Scalable deep neural network training has been gaining prominence because of the increasing importance of deep learning in a multitude of scientific and commercial domains. Consequently, a number of researchers have investigated techniques to optimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aacff6b40f4a83ac14d0fe48319a40f9
https://doi.org/10.1145/3331526
https://doi.org/10.1145/3331526
Publikováno v:
PPoPP
Many-to-many mapping models for user- to kernel-level threads (or "M:N threads") have been extensively studied for decades as a lightweight substitute for current Pthreads implementations that provide a simple one-to-one mapping ("1:1 threads"). M:N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8572272d33d2759a85e127b86dc1293
https://doi.org/10.1145/3437801.3441610
https://doi.org/10.1145/3437801.3441610
Publikováno v:
HPCC/DSS/SmartCity
SW26010 is a heterogeneous many-core CPU equipped in the Sunway TaihuLight Supercomputer, which ranks fourth in June 2020 Top500 list. Large varieties of applications have been tuned on SW26010, but only a few researches focus on system-level modelin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7979d3818e6e7b2726144e41ea20e310
https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00090
https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00090