Science Driven Supercomputing Architectures: AnalyzingArchitectural Bottlenecks with Applications and Benchmark Probes

PDF Version Also Available for Download.

Description

There is a growing gap between the peak speed of parallelcomputing systems and the actual delivered performance for scientificapplications. In general this gap is caused by inadequate architecturalsupport for the requirements of modern scientific applications, ascommercial applications and the much larger market they represent, havedriven the evolution of computer architectures. This gap has raised theimportance of developing better benchmarking methodologies tocharacterize and to understand the performance requirements of scientificapplications, to communicate them efficiently to influence the design offuture computer architectures. This improved understanding of theperformance behavior of scientific applications will allow improvedperformance predictions, development of adequate benchmarks foridentification of hardware ... continued below

Creation Information

Kamil, S.; Yelick, K.; Kramer, W.T.; Oliker, L.; Shalf, J.; Shan,H. et al. September 26, 2005.

Context

This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

Who

People and organizations associated with either the creation of this report or its content.

Publisher

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

Contact Us

What

Descriptive information to help identify this report. Follow the links below to find similar items on the Digital Library.

Description

There is a growing gap between the peak speed of parallelcomputing systems and the actual delivered performance for scientificapplications. In general this gap is caused by inadequate architecturalsupport for the requirements of modern scientific applications, ascommercial applications and the much larger market they represent, havedriven the evolution of computer architectures. This gap has raised theimportance of developing better benchmarking methodologies tocharacterize and to understand the performance requirements of scientificapplications, to communicate them efficiently to influence the design offuture computer architectures. This improved understanding of theperformance behavior of scientific applications will allow improvedperformance predictions, development of adequate benchmarks foridentification of hardware and application features that work well orpoorly together, and a more systematic performance evaluation inprocurement situations. The Berkeley Institute for Performance Studieshas developed a three-level approach to evaluating the design of high endmachines and the software that runs on them: 1) A suite of representativeapplications; 2) A set of application kernels; and 3) Benchmarks tomeasure key system parameters. The three levels yield different type ofinformation, all of which are useful in evaluating systems, and enableNSF and DOE centers to select computer architectures more suited forscientific applications. The analysis will further allow the centers toengage vendors in discussion of strategies to alleviate the presentarchitectural bottlenecks using quantitative information. These mayinclude small hardware changes or larger ones that may be out interest tonon-scientific workloads. Providing quantitative models to the vendorsallows them to assess the benefits of technology alternatives using theirown internal cost-models in the broader marketplace, ideally facilitatingthe development of future computer architectures more suited forscientific computations. The three levels also come with vastly differentinvestments: the benchmarking efforts require significant rewriting toeffectively use a given architecture, which is much more difficult onfull applications than on smaller benchmarks.

Subjects

Keyword

STI Subject Categories

Language

Item Type

Identifier

Unique identifying numbers for this report in the Digital Library or other systems.

  • Report No.: LBNL--58914
  • Grant Number: DE-AC02-05CH11231
  • DOI: 10.2172/890678 | External Link
  • Office of Scientific & Technical Information Report Number: 890678
  • Archival Resource Key: ark:/67531/metadc875190

Collections

This report is part of the following collection of related materials.

Office of Scientific & Technical Information Technical Reports

What responsibilities do I have when using this report?

When

Dates and time periods associated with this report.

Creation Date

  • September 26, 2005

Added to The UNT Digital Library

  • Sept. 21, 2016, 2:29 a.m.

Description Last Updated

  • Sept. 29, 2016, 6:57 p.m.

Usage Statistics

When was this report last used?

Congratulations! It looks like you are the first person to view this item online.

Interact With This Report

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

Citations, Rights, Re-Use

Kamil, S.; Yelick, K.; Kramer, W.T.; Oliker, L.; Shalf, J.; Shan,H. et al. Science Driven Supercomputing Architectures: AnalyzingArchitectural Bottlenecks with Applications and Benchmark Probes, report, September 26, 2005; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc875190/: accessed September 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.