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Abstract

Title: Abstract
Authors: Gerd Heber; Karen A. Mazurkiewicz; Andrew J. Dolgert; Maxim Alt; Lynd Stringer
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://cache-www.intel.com/cd/00/00/01/77/17762_cptconitanium.pdf.
Publication Year: 2001
Collection: CiteSeerX
Description: We optimized our fracture mechanics code to achieve a 3.4-fold speedup on Itanium processors. The computational core of the code is a linear equation solver using preconditioned conjugate-gradient method. The dense and sparse matrix-vector computations are both floating point and memory bandwidth intensive. We found that the EPIC architecture depends heavily on the compiler to find instruction level parallelism to achieve maximum performance. 1
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.557
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.557; http://cache-www.intel.com/cd/00/00/01/77/17762_cptconitanium.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.B3AAF2C3
Database: BASE