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Alexander A. Moskovsky

dblp:99/6441 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-6424-320XORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 44% Parallel and multicore computing · 44% Processor architecture and microarchitecture · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › parallel programming models › hybrid programming models
hybrid MPI/OpenMP		 0.312017
An efficient MPI/openMP parallelization of the Hartree-Fock method for the second generation of Intel® Xeon Phi™ processor · SC 2017
High-performance computing
quantum chemistry		 0.312017
An efficient MPI/openMP parallelization of the Hartree-Fock method for the second generation of Intel® Xeon Phi™ processor · SC 2017
Processor architecture and microarchitecture
many-core architecture		 0.112017
An efficient MPI/openMP parallelization of the Hartree-Fock method for the second generation of Intel® Xeon Phi™ processor · SC 2017

Methods — techniques the papers use, named apart from their topics

threading · 0.3OpenMP · 0.3MPI · 0.3
YearPublicationVenuePosition
2017 An efficient MPI/openMP parallelization of the Hartree-Fock method for the second generation of Intel® Xeon Phi™ processor
abstract
Modern OpenMP threading techniques are used to convert the MPI-only Hartree-Fock code in the GAMESS program to a hybrid MPI/OpenMP algorithm. Two separate implementations that differ by the sharing or replication of key data structures among threads are considered, density and Fock matrices. All implementations are benchmarked on a super-computer of 3,000 Intel® Xeon Phi™ processors. With 64 cores per processor, scaling numbers are reported on up to 192,000 cores. The hybrid MPI/OpenMP implementation reduces the memory footprint by approximately 200 times compared to the legacy code. The MPI/OpenMP code was shown to run up to six times faster than the original for a range of molecular system sizes.
Vladimir A. Mironov, Yuri Alexeev, Kristopher Keipert, Michael D'Mello, Alexander A. Moskovsky, Mark S. Gordon
 SC5