Published July 1, 2009 | Version v1
Journal article Metadata-only

Frontiers of performance analysis on leadership-class systems

Creators

  • 1. Renaissance Computing Institute, UNC, Chapel Hill, North Carolina (United States)
  • 2. Rice University, Houston, Texas (United States)
  • 3. Lawrence Livermore National Laboratory (United States)

Description

The number of cores in high-end systems for scientific computing are employingis increasing rapidly. As a result, there is an pressing need for tools that can measure, model, and diagnose performance problems in highly-parallel runs. We describe two tools that employ complementary approaches for analysis at scale and we illustrate their use on DOE leadership-class systems.

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/180/1/012041

Additional details

Identifiers

DOI
10.1088/1742-6596/180/1/012041;

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
180
Journal Issue
1
Journal Page Range
[6 p.]
ISSN
1742-6596

Conference

Title
SciDAC 2009 conference
Dates
14-18 Jun 2009
Place
San Diego, CA (United States)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
42027786
Subject category
S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTER ARCHITECTURE; COMPUTER CALCULATIONS; COMPUTERIZED SIMULATION; DATA ANALYSIS; DISTRIBUTED DATA PROCESSING; PERFORMANCE
Descriptors DEC
DATA PROCESSING; PROCESSING; SIMULATION