Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Rahulkumar Gayatri"'
Autor:
Taylor Groves, Chris Daley, Rahulkumar Gayatri, Hai Ah Nam, Nan Ding, Lenny Oliker, Nicholas J. Wright, Samuel Williams
Publikováno v:
2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaee2d3ff600c5ab088a432a2684bfff
https://doi.org/10.1109/pmbs56514.2022.00012
https://doi.org/10.1109/pmbs56514.2022.00012
Publikováno v:
Journal of the Indian Institute of Science
The spread of infectious diseases arises from complex interactions between disease dynamics and human behavior. Predicting the outcome of this complex system is difficult. Consequently, there has been a recent emphasis on comparing the relative risks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b170861775dd0c4f39455b6afcafa681
https://doi.org/10.1007/s41745-021-00250-4
https://doi.org/10.1007/s41745-021-00250-4
Autor:
Amy Jo Powell, Daisy S. Hollman, Dan Sunderland, Nathan Ellingwood, Evan Harvey, Jeff Miles, David Poliakoff, Jeremiah J. Wilke, Bruno Turcksin, Christian Robert Trott, Nevin Liber, Daniel Arndt, Jonathan Madsen, Dan Ibanez, Vinh Dang, Damien Lebrun-Grandie, Mikael Simberg, Rahulkumar Gayatri, Sivasankaran Rajamanickam, Jan Ciesko
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems, vol 33, iss 4
As the push towards exascale hardware has increased the diversity of system architectures, performance portability has become a critical aspect for scientific software. We describe the Kokkos Performance Portable Programming Model that allows develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5fece39c036bb116e04b5bae86fb206
https://escholarship.org/uc/item/0wz9p9vg
https://escholarship.org/uc/item/0wz9p9vg
Autor:
Guray Ozen, Annemarie Southwell, Christopher S. Daley, Scott Biersdorfff, Rahulkumar Gayatri, Nicholas J. Wright, Craig Toepfer
Publikováno v:
SC
The NERSC supercomputer, Perlmutter, consists of AMD CPUs and NVIDIA GPUs. NERSC users expect to be able to use OpenMP to take advantage of the highly capable GPUs. This paper describes how NERSC/NVIDIA constructed a Non-Recurring Engineering (NRE) c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee057b8078401553b1048aa827bc08e3
https://doi.org/10.1145/3458817.3476213
https://doi.org/10.1145/3458817.3476213
Autor:
Stan Gerald Moore, Ivan Oleynik, Rahulkumar Gayatri, Mitchell Wood, Anatoly B. Belonoshko, Aidan P. Thompson, Evan S Weinberg, Jonathan Willman, Kien Nguyen-Cong
Publikováno v:
SC
Billion atom molecular dynamics (MD) using quantum-accurate machine-learning Spectral Neighbor Analysis Potential (SNAP) observed long-sought high pressure BC8 phase of carbon at extreme pressure (12 Mbar) and temperature (5,000 K). 24-hour, 4650 nod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f5c2489d2320245752f4368021e5816
https://doi.org/10.1145/3458817.3487400
https://doi.org/10.1145/3458817.3487400
Autor:
Amanda S. Dufek, Rahulkumar Gayatri, Neil Mehta, Douglas Doerfler, Brandon Cook, Yasaman Ghadar, Carleton DeTar
Publikováno v:
2021 International Workshop on Performance, Portability and Productivity in HPC (P3HPC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::647f68685edabb50df65b35948489128
https://doi.org/10.1109/p3hpc54578.2021.00009
https://doi.org/10.1109/p3hpc54578.2021.00009
Publikováno v:
Accelerator Programming Using Directives ISBN: 9783030742232
WACCPD@SC
WACCPD@SC
In this paper, we show that OpenMP 4.5 based implementation of TestSNAP, a proxy-app for the Spectral Neighbor Analysis Potential (SNAP) in LAMMPS, can be ported across the NVIDIA, Intel, and AMD GPUs. Roofline analysis is employed to assess the perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66b4cdd93deda9820f66001f6590fa25
https://doi.org/10.1007/978-3-030-74224-9_1
https://doi.org/10.1007/978-3-030-74224-9_1
Autor:
Christopher S. Daley, Reuben D. Budiardja, Wayne Joubert, Verónica G. Vergara Larrea, Oscar Hernandez, Rahulkumar Gayatri
Publikováno v:
Concurrency and Computation Practice and Experience, vol 32, iss 20
Author(s): Vergara Larrea, VG; Budiardja, RD; Gayatri, R; Daley, C; Hernandez, O; Joubert, W | Abstract: This article studies mini-applications—Minisweep, GenASiS, GPP, and FF—that use computational methods commonly encountered in HPC. We have po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::add3df2ef93fe61ad11e755aa2e5903a
https://escholarship.org/uc/item/3tx6b1t6
https://escholarship.org/uc/item/3tx6b1t6
Autor:
Hugo Brunie, Jack Deslippe, Rahulkumar Gayatri, Yunsong Wang, Samuel Williams, Leonid Oliker, Charlene Yang, Muaaz Gul Awan, Jonathan Madsen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030507428
HPC has undergone a significant transition toward heterogeneous architectures. This transition has introduced several issues in code migration to support multiple frameworks for targeting the various architectures. In order to cope with these challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c866fb29ecb98ab87c7e63a5f95ff39
https://doi.org/10.1007/978-3-030-50743-5_22
https://doi.org/10.1007/978-3-030-50743-5_22
Publikováno v:
PMBS@SC
One of the major differences in many-core versus multicore architectures is the presence of two different memory spaces: a host space and a device space. In the case of NVIDIA GPUs, the device is supplied with data from the host via one of the multip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f7429e6bc17f25da61eab959b2bf30c
https://doi.org/10.1109/pmbs49563.2019.00010
https://doi.org/10.1109/pmbs49563.2019.00010