J
Jeffrey S. Vetter
Researcher at Oak Ridge National Laboratory
Publications - 290
Citations - 10160
Jeffrey S. Vetter is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: Computer science & Cache. The author has an hindex of 52, co-authored 258 publications receiving 9229 citations. Previous affiliations of Jeffrey S. Vetter include University of Illinois at Urbana–Champaign & Agency for Science, Technology and Research.
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Journal ArticleDOI
The International Exascale Software Project roadmap
Jack Dongarra,Pete Beckman,Terry Moore,Patrick Aerts,Giovanni Aloisio,Jean-Claude Andre,David Barkai,Jean-Yves Berthou,Taisuke Boku,Bertrand Braunschweig,Franck Cappello,Barbara Chapman,Xuebin Chi,Alok Choudhary,Sudip S. Dosanjh,Thom H. Dunning,Sandro Fiore,Al Geist,Bill Gropp,Robert W. Harrison,Mark Hereld,Michael A. Heroux,Adolfy Hoisie,Koh Hotta,Zhong Jin,Yutaka Ishikawa,Fred Johnson,Sanjay Kale,Richard Kenway,David E. Keyes,Bill Kramer,Jesús Labarta,Alain Lichnewsky,Thomas Lippert,Bob Lucas,Barney Maccabe,Satoshi Matsuoka,Paul Messina,Peter Michielse,Bernd Mohr,Matthias S. Mueller,Wolfgang E. Nagel,Hiroshi Nakashima,Michael E. Papka,Daniel A. Reed,Mitsuhisa Sato,Edward Seidel,John Shalf,David Skinner,Marc Snir,Thomas Sterling,Rick Stevens,Frederick H. Streitz,Bob Sugar,Shinji Sumimoto,William Tang,John Taylor,Rajeev Thakur,Anne E. Trefethen,Mateo Valero,Aad J. van der Steen,Jeffrey S. Vetter,Peg Williams,Robert W. Wisniewski,Katherine Yelick +64 more
TL;DR: The work of the community to prepare for the challenges of exascale computing is described, ultimately combing their efforts in a coordinated International Exascale Software Project.
Proceedings ArticleDOI
The Scalable Heterogeneous Computing (SHOC) benchmark suite
Anthony Danalis,Gabriel Marin,Collin McCurdy,Jeremy S. Meredith,Philip C. Roth,Kyle Spafford,Vinod Tipparaju,Jeffrey S. Vetter +7 more
TL;DR: The Scalable HeterOgeneous Computing benchmark suite (SHOC) is a spectrum of programs that test the performance and stability of scalable heterogeneous computing systems and includes benchmark implementations in both OpenCL and CUDA in order to provide a comparison of these programming models.
Proceedings ArticleDOI
An Overview of the BlueGene/L Supercomputer
N. R. Adiga,Gheorghe Almasi,George Almási,Y. Aridor,Rajkishore Barik,D. Beece,Ralph Bellofatto,Gyan Bhanot,R. Bickford,Matthias A. Blumrich,A. A. Bright,Jose R. Brunheroto,Calin Cascaval,José G. Castaños,Waiman Chan,Luis Ceze,Paul W. Coteus,Siddhartha Chatterjee,Dong Chen,G. Chiu,Thomas Mario Cipolla,Paul G. Crumley,K.M. Desai,A. Deutsch,T. Domany,M. B. Dombrowa,Wilm E. Donath,Maria Eleftheriou,C. Christopher Erway,J. Esch,Blake G. Fitch,J. Gagliano,Alan Gara,Rahul Garg,Robert S. Germain,Mark E. Giampapa,B. Gopalsamy,John A. Gunnels,Manish Gupta,Fred G. Gustavson,Shawn A. Hall,R. A. Haring,D. Heidel,P. Heidelberger,L.M. Herger,Dirk Hoenicke,Rory D. Jackson,T. Jamal-Eddine,Gerard V. Kopcsay,Elie Krevat,Manish P. Kurhekar,A.P. Lanzetta,Derek Lieber,L.K. Liu,M. Lu,M. Mendell,A. Misra,Yosef Moatti,L. Mok,José E. Moreira,Ben J. Nathanson,M. Newton,Martin Ohmacht,Adam J. Oliner,Vinayaka Pandit,R.B. Pudota,Rick A. Rand,R. Regan,B. Rubin,Albert E. Ruehli,Silvius Rus,Ramendra K. Sahoo,A. Sanomiya,Eugen Schenfeld,M. Sharma,E. Shmueli,Suryabhan Singh,Peilin Song,Vijayalakshmi Srinivasan,Burkhard Steinmacher-Burow,Karin Strauss,C. Surovic,Richard A. Swetz,Todd E. Takken,R.B. Tremaine,M. Tsao,A. R. Umamaheshwaran,P. Verma,Pavlos M. Vranas,T.J.C. Ward,M. Wazlowski,William A. Barrett,C. Engel,B. Drehmel,B. Hilgart,D. Hill,F. Kasemkhani,D. Krolak,C.T. Li,T. Liebsch,James Anthony Marcella,Adam J. Muff,A. Okomo,M. Rouse,A. Schram,Matthew R. Tubbs,G. Ulsh,Charles D. Wait,J. Wittrup,M. Bae,Kenneth Alan Dockser,Lynn Kissel,M.K. Seager,Jeffrey S. Vetter,K. Yates +114 more
TL;DR: An overview of the BlueGene/L Supercomputer, a massively parallel system of 65,536 nodes based on a new architecture that exploits system-on-a-chip technology to deliver target peak processing power of 360 teraFLOPS (trillion floating-point operations per second).
Journal ArticleDOI
A Survey of CPU-GPU Heterogeneous Computing Techniques
Sparsh Mittal,Jeffrey S. Vetter +1 more
TL;DR: This article surveys Heterogeneous Computing Techniques (HCTs) such as workload partitioning that enable utilizing both CPUs and GPUs to improve performance and/or energy efficiency and reviews both discrete and fused CPU-GPU systems.
Proceedings ArticleDOI
Autopilot: adaptive control of distributed applications
TL;DR: The Autopilot model of distributed sensors, actuators, and decision procedures is described, preliminary performance benchmarks are reported, and a case study in which the Autop Pilot library is utilized in the development of an adaptive parallel input/output system is presented.