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Introduction to High Performance Computing: Parallel Computing, Distributed  Computing, Grid Computing and More

Introduction to High Performance Computing: Parallel Computing, Distributed  Computing, Grid Computing and More

Introduction to High Performance Computing: Parallel Computing, Distributed  Computing, Grid Computing and More. Dr. Jay Boisseau Director, Texas Advanced Computing Center boisseau@tacc.utexas.edu December 3, 2001. Texas Advanced Computing Center. The University of Texas at Austin. Outline.

By daniel_millan
(538 views)

User experiences on Heterogeneous TACC IBM Power4 System

User experiences on Heterogeneous TACC IBM Power4 System

User experiences on Heterogeneous TACC IBM Power4 System. Avi Purkayastha Kent Milfeld, Chona Guiang Texas Advanced Computing Center University of Texas, Austin ScicomP 8 Minneapolis, MN August 4-8, 2003. Outline. Architectural Overview TACC Heterogeneous Power4 System

By Thomas
(264 views)

Grids and the School of Informatics at Indiana University

Grids and the School of Informatics at Indiana University

Grids and the School of Informatics at Indiana University. Sun Yat-sen University Guangzhou China November 4 2006 Geoffrey Fox Computer Science, Informatics, Physics Pervasive Technology Laboratories Indiana University Bloomington IN 47401 gcf@indiana.edu http://www.infomall.org.

By bela
(222 views)

CS 378: Programming for Performance

CS 378: Programming for Performance

CS 378: Programming for Performance. Administration. Instructors: Keshav Pingali (CS,UT) 4.126A ACES Email: pingali@cs.utexas.edu Sid Chatterjee (IBM, Austin Research Lab) Email: sc@us.ibm.com TA: Sachin Manpathak 4.204 ACES Email: sachin.manpathak@gmail.com. Prerequisites.

By josh
(253 views)

Cyberinfrastructure Collaboration for Digital Preservation

Cyberinfrastructure Collaboration for Digital Preservation

Cyberinfrastructure Collaboration for Digital Preservation. Microsoft eScience Workshop December 2008 Chris Jordan, David Minor, Robert H. Mcdonald , Ardys Kozbial. The Frame. NSF-funded national supercomputer centers Centers have hosted significant projects:

By truong
(115 views)

Modeling the synergistic impacts of atmospheric and land-based influences on water quality and quantity in linked upland

Modeling the synergistic impacts of atmospheric and land-based influences on water quality and quantity in linked upland

Modeling the synergistic impacts of atmospheric and land-based influences on water quality and quantity in linked upland and estuarine ecosystems . Zong-Liang Yang (PI), David Maidment (co-PI), Paul Montagna (co-PI), James McClelland (co-PI), Hongjie Xie (co-PI)

By tessica
(128 views)

“CyberInfrastructure: Challenges and Opportunities for Undergraduate Education”

“CyberInfrastructure: Challenges and Opportunities for Undergraduate Education”

“CyberInfrastructure: Challenges and Opportunities for Undergraduate Education”. Roscoe Giles June 13, 2005. Challenge #1 …. Workshop projects show how “less is more” Can Cyberinfrastructure projects avoid showing that “ more is less ”? You can help!. Outline.

By thor
(89 views)

TeraGrid National Cyberinfrasctructure for Scientific Research

TeraGrid National Cyberinfrasctructure for Scientific Research

TeraGrid National Cyberinfrasctructure for Scientific Research. Kevin Shinpaugh. What is cyberinfrastructure ?. wireless. sensors. field. computer. computer. network. network. data. computer. data. data. storage. computer. viz. network. field instrument.

By carlo
(92 views)

Arctos at the University of Alaska Museum Insect Collection Derek Sikes 1 Gordon Jarrell 2 Dusty McDonald 1 1 Universi

Arctos at the University of Alaska Museum Insect Collection Derek Sikes 1 Gordon Jarrell 2 Dusty McDonald 1 1 Universi

Arctos at the University of Alaska Museum Insect Collection Derek Sikes 1 Gordon Jarrell 2 Dusty McDonald 1 1 University of Alaska Museum Fairbanks , AK 2 Museum of Southwestern Biology, NM Entomological Collections Network Reno, NV, 2011 .

By vilina
(75 views)

Floating-Point Data Compression at 75 Gb/s on a GPU

Floating-Point Data Compression at 75 Gb/s on a GPU

Floating-Point Data Compression at 75 Gb/s on a GPU. Molly A. O’Neil and Martin Burtscher Department of Computer Science. Introduction. Texas Advanced Computing Center. Scientific simulations on HPC clusters Run on interconnected compute nodes

By mills
(106 views)

Verifying remote executions: from wild implausibility to near practicality

Verifying remote executions: from wild implausibility to near practicality

Verifying remote executions: from wild implausibility to near practicality. Michael Walfish. NYU and UT Austin. Acknowledgment

By kaori
(79 views)

Arctos at the University of Alaska Museum Insect Collection Derek Sikes 1 Gordon Jarrell 2 Dusty McDonald 1 1 Universi

Arctos at the University of Alaska Museum Insect Collection Derek Sikes 1 Gordon Jarrell 2 Dusty McDonald 1 1 Universi

Arctos at the University of Alaska Museum Insect Collection Derek Sikes 1 Gordon Jarrell 2 Dusty McDonald 1 1 University of Alaska Museum Fairbanks , AK 2 Museum of Southwestern Biology, NM Alaska Entomological Society 5 th Annual Meeting, Anchorage, AK 27-28 Jan 2012.

By roddy
(143 views)

Oak Ridge Leadership Computing Facility

Oak Ridge Leadership Computing Facility

Oak Ridge Leadership Computing Facility. www.olcf.ornl.gov. Don Maxwell HPC Technical Coordinator October 8, 2010 Presented To: HPC User Forum, Stuttgart. Oak Ridge Leadership Computing Facility. Mission: Deploy and operate the computational resources required to tackle global challenges

By brone
(150 views)

Collapsar Accretion and the Gamma-Ray Burst Light Curve

Collapsar Accretion and the Gamma-Ray Burst Light Curve

Collapsar Accretion and the Gamma-Ray Burst Light Curve. Christopher C. Lindner, Milos Milosavljevic , Sean Couch, Pawan Kumar. Texas Advanced Computing Center. The University of Texas at Austin. Abstract. Phase 0. Results.

By cianna
(104 views)

Simulated lattice when studying the depolarizing error channel for color codes.

Simulated lattice when studying the depolarizing error channel for color codes.

ordered ferromagnet. Effects of Depolarization on Topological Qubits Helmut Katzgraber , Texas A&M Research Foundation, DMR 1151387.

By rance
(86 views)

Verifying remote executions: from wild implausibility to near practicality

Verifying remote executions: from wild implausibility to near practicality

Verifying remote executions: from wild implausibility to near practicality. Michael Walfish. NYU and UT Austin. Acknowledgment

By garren
(83 views)

TDL Forum

TDL Forum

TDL Forum . Wednesday, October 16, 2013. Agenda. - Welcome and introductions - Updates - Data Management Discussion. Welcome new members!. Since last we met…. Travel update Staff Recruitment Update TCAL and Member Board Meeting DLF Forum (November 4-6). Data Management.

By darin
(161 views)

Programming Models and Languages for Clusters of Multi-core Nodes Part 3: PGAS Languages

Programming Models and Languages for Clusters of Multi-core Nodes Part 3: PGAS Languages

Programming Models and Languages for Clusters of Multi-core Nodes Part 3: PGAS Languages. Alice Koniges – NERSC, Lawrence Berkeley National Laboratory Rolf Rabenseifner – High Performance Computing Center Stuttgart (HLRS), Germany

By nicki
(125 views)

A digital infrastructure for the scholarly activities of Texas universities

A digital infrastructure for the scholarly activities of Texas universities

A digital infrastructure for the scholarly activities of Texas universities. Overview of Talk. Challenges Partners Goal Location Services TDL Management 5 Year Plan TDL Membership Opportunities Impacts Discussion/Questions. Challenges.

By jalia
(94 views)

TACC/NPACI IBM Regatta-HPC (Power4) Overview

TACC/NPACI IBM Regatta-HPC (Power4) Overview

TACC/NPACI IBM Regatta-HPC (Power4) Overview. Chona Guiang, Kent Milfeld, Avi Purkayastha and Jay Boisseau August 21, 2002. Texas Advanced Computing Center. The University of Texas at Austin. Background: TACC As An NPACI Resource Partner.

By lulu
(154 views)

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