FY08 LDRD Final Report LOCAL: Locality-Optimizing Caching Algorithms and Layouts

One of 91 reports in the series: Fiscal Year 2008 available on this site.

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Description

This project investigated layout and compression techniques for large, unstructured simulation data to reduce bandwidth requirements and latency in simulation I/O and subsequent post-processing, e.g. data analysis and visualization. The main goal was to eliminate the data-transfer bottleneck - for example, from disk to memory and from central processing unit to graphics processing unit - through coherent data access and by trading underutilized compute power for effective bandwidth and storage. This was accomplished by (1) designing algorithms that both enforce and exploit compactness and locality in unstructured data, and (2) adapting offline computations to a novel stream processing framework that ... continued below

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PDF-file: 8 pages; size: 5.4 Mbytes

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Lindstrom, P February 27, 2009.

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  • Main Title: FY08 LDRD Final Report LOCAL: Locality-Optimizing Caching Algorithms and Layouts
  • Series Title: Fiscal Year 2008

Description

This project investigated layout and compression techniques for large, unstructured simulation data to reduce bandwidth requirements and latency in simulation I/O and subsequent post-processing, e.g. data analysis and visualization. The main goal was to eliminate the data-transfer bottleneck - for example, from disk to memory and from central processing unit to graphics processing unit - through coherent data access and by trading underutilized compute power for effective bandwidth and storage. This was accomplished by (1) designing algorithms that both enforce and exploit compactness and locality in unstructured data, and (2) adapting offline computations to a novel stream processing framework that supports pipelining and low-latency sequential access to compressed data. This report summarizes the techniques developed and results achieved, and includes references to publications that elaborate on the technical details of these methods.

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PDF-file: 8 pages; size: 5.4 Mbytes

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  • Report No.: LLNL-TR-410985
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/979439 | External Link
  • Office of Scientific & Technical Information Report Number: 979439
  • Archival Resource Key: ark:/67531/metadc934265

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • February 27, 2009

Added to The UNT Digital Library

  • Nov. 13, 2016, 7:26 p.m.

Description Last Updated

  • Nov. 28, 2016, 6:18 p.m.

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Lindstrom, P. FY08 LDRD Final Report LOCAL: Locality-Optimizing Caching Algorithms and Layouts, report, February 27, 2009; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc934265/: accessed October 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.