S
Sayan Ghosh
Researcher at Pacific Northwest National Laboratory
Publications - 22
Citations - 581
Sayan Ghosh is an academic researcher from Pacific Northwest National Laboratory. The author has contributed to research in topics: Graph (abstract data type) & Programming paradigm. The author has an hindex of 7, co-authored 22 publications receiving 312 citations. Previous affiliations of Sayan Ghosh include University of Houston & Washington State University.
Papers
More filters
Journal ArticleDOI
NWChem: Past, Present, and Future
Edoardo Aprà,Eric J. Bylaska,W. A. de Jong,Niranjan Govind,Karol Kowalski,T. P. Straatsma,Marat Valiev,H. J. J. van Dam,Yuri Alexeev,James L. Anchell,Victor M. Anisimov,Fredy W. Aquino,Raymond Atta-Fynn,Jochen Autschbach,Nicholas P. Bauman,Jeffrey C. Becca,David E. Bernholdt,Kiran Bhaskaran-Nair,Stuart Bogatko,Piotr Borowski,Jeffrey Scott Boschen,Jiří Brabec,Adam Bruner,Emilie Cauet,Y. Chen,Gennady N. Chuev,Christopher J. Cramer,Jeff Daily,M. J. O. Deegan,Thomas Dunning,Michel Dupuis,Kenneth G. Dyall,George I. Fann,Sean A. Fischer,Alexandr Fonari,H. Früuchtl,Laura Gagliardi,Jorge Garza,Nitin A. Gawande,Sayan Ghosh,Kurt R. Glaesemann,Andreas W. Götz,Jeff R. Hammond,Volkhard Helms,Eric D. Hermes,Kimihiko Hirao,So Hirata,Mathias Jacquelin,Lasse Jensen,Benny G. Johnson,Hannes Jónsson,Ricky A. Kendall,Michael Klemm,Rika Kobayashi,V. Konkov,Sriram Krishnamoorthy,Manojkumar Krishnan,Zijing Lin,Roberto D. Lins,Rik J. Littlefield,Andrew J. Logsdail,Kenneth Lopata,Wan Yong Ma,Aleksandr V. Marenich,J. Martin del Campo,Daniel Mejía-Rodríguez,Justin E. Moore,Jonathan M. Mullin,Takahito Nakajima,Daniel R. Nascimento,Jeffrey A. Nichols,Patrick Nichols,J. Nieplocha,A. Otero de la Roza,Bruce J. Palmer,Ajay Panyala,T. Pirojsirikul,Bo Peng,Roberto Peverati,Jiri Pittner,L. Pollack,Ryan M. Richard,P. Sadayappan,George C. Schatz,William A. Shelton,Daniel W. Silverstein,Dayle M. A. Smith,Thereza A. Soares,Duo Song,Marcel Swart,H. L. Taylor,G. S. Thomas,Vinod Tipparaju,Donald G. Truhlar,Kiril Tsemekhman,T. Van Voorhis,Álvaro Vázquez-Mayagoitia,Prakash Verma,Oreste Villa,Abhinav Vishnu,Konstantinos D. Vogiatzis,Dunyou Wang,John H. Weare,Mark J. Williamson,T. L. Windus,Krzysztof Wolinski,A. T. Wong,Qin Wu,Chan-Shan Yang,Q. Yu,Martin Zacharias,Zhiyong Zhang,Yan Zhao,Robert W. Harrison +113 more
TL;DR: The NWChem computational chemistry suite as discussed by the authors provides tools to support and guide experimental efforts and for the prediction of atomistic and electronic properties by using first-principledriven methodologies to model complex chemical and materials processes.
Proceedings ArticleDOI
Distributed Louvain Algorithm for Graph Community Detection
Sayan Ghosh,Mahantesh Halappanavar,Antonino Tumeo,Ananth Kalyanaraman,Hao Lu,Daniel Chavarría-Miranda,Arif O. Khan,Assefaw H. Gebremedhin +7 more
TL;DR: The design of a distributed memory implementation of the Louvain algorithm for parallel community detection is presented, which begins with an arbitrarily partitioned distributed graph input, and employs several heuristics to speedup the computation of the different steps of theLouVain algorithm.
Book ChapterDOI
Implementing OpenSHMEM Using MPI-3 One-Sided Communication
TL;DR: The design and implementation of Open-SHMEM over MPI using new one-sided communication features in MPI- 3, which include not only new functions but also a newmemory model that is consistent with that of SHMEM.
Proceedings ArticleDOI
Experiences with OpenMP, PGI, HMPP and OpenACC Directives on ISO/TTI Kernels
TL;DR: This paper shares the experiences of three of the notable high-level directive based GPU programming models - PGI, CAPS and OpenACC on an Nvidia M2090 GPU, and analyzes their performance and programmability against Isotropic/Tilted Transversely Isotropic finite difference kernels.
Proceedings ArticleDOI
Statistical modeling of power/energy of scientific kernels on a multi-GPU system
TL;DR: In this paper, the authors employ parametric and non-parametric regression analysis to model power and energy consumption of some of the common high performance kernels (DGEMM, FFT, PRNG and FD stencils) on a multi-GPU platform.