%0 Generic %D 2020 %T ASCR@40: Four Decades of Department of Energy Leadership in Advanced Scientific Computing Research %A Bruce Hendrickson %A Paul Messina %A Buddy Bland %A Jackie Chen %A Phil Colella %A Eli Dart %A Jack Dongarra %A Thom Dunning %A Ian Foster %A Richard Gerber %A Rachel Harken %A Wendy Huntoon %A Bill Johnston %A John Sarrao %A Jeff Vetter %I Advanced Scientific Computing Advisory Committee (ASCAC), US Department of Energy %8 2020-08 %G eng %U https://computing.llnl.gov/misc/ASCR@40-Highlights.pdf %0 Generic %D 2020 %T ASCR@40: Highlights and Impacts of ASCR’s Programs %A Bruce Hendrickson %A Paul Messina %A Buddy Bland %A Jackie Chen %A Phil Colella %A Eli Dart %A Jack Dongarra %A Thom Dunning %A Ian Foster %A Richard Gerber %A Rachel Harken %A Wendy Huntoon %A Bill Johnston %A John Sarrao %A Jeff Vetter %X The Office of Advanced Scientific Computing Research (ASCR) sits within the Office of Science in the Department of Energy (DOE). Per their web pages, “the mission of the ASCR program is to discover, develop, and deploy computational and networking capabilities to analyze, model, simulate, and predict complex phenomena important to the DOE.” This succinct statement encompasses a wide range of responsibilities for computing and networking facilities; for procuring, deploying, and operating high performance computing, networking, and storage resources; for basic research in mathematics and computer science; for developing and sustaining a large body of software; and for partnering with organizations across the Office of Science and beyond. While its mission statement may seem very contemporary, the roots of ASCR are quite deep—long predating the creation of DOE. Applied mathematics and advanced computing were both elements of the Theoretical Division of the Manhattan Project. In the early 1950s, the Manhattan Project scientist and mathematician John von Neumann, then a commissioner for the AEC (Atomic Energy Commission), advocated for the creation of a Mathematics program to support the continued development and applications of digital computing. Los Alamos National Laboratory (LANL) scientist John Pasta created such a program to fund researchers at universities and AEC laboratories. Under several organizational name changes, this program has persisted ever since, and would eventually grow to become ASCR. %I US Department of Energy’s Office of Advanced Scientific Computing Research %8 2020-06 %G eng %U https://www.osti.gov/servlets/purl/1631812 %R https://doi.org/10.2172/1631812 %0 Conference Paper %B 17th IEEE High Performance Extreme Computing Conference (HPEC '13) %D 2013 %T Standards for Graph Algorithm Primitives %A Tim Mattson %A David Bader %A Jon Berry %A Aydin Buluc %A Jack Dongarra %A Christos Faloutsos %A John Feo %A John Gilbert %A Joseph Gonzalez %A Bruce Hendrickson %A Jeremy Kepner %A Charles Lieserson %A Andrew Lumsdaine %A David Padua %A Steve W. Poole %A Steve Reinhardt %A Mike Stonebraker %A Steve Wallach %A Andrew Yoo %K algorithms %K graphs %K linear algebra %K software standards %X It is our view that the state of the art in constructing a large collection of graph algorithms in terms of linear algebraic operations is mature enough to support the emergence of a standard set of primitive building blocks. This paper is a position paper defining the problem and announcing our intention to launch an open effort to define this standard. %B 17th IEEE High Performance Extreme Computing Conference (HPEC '13) %I IEEE %C Waltham, MA %8 2013-09 %G eng %R 10.1109/HPEC.2013.6670338