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Title: Complex matrix multiplication operations with data pre-conditioning in a high performance computing architecture

Abstract

Mechanisms for performing a complex matrix multiplication operation are provided. A vector load operation is performed to load a first vector operand of the complex matrix multiplication operation to a first target vector register. The first vector operand comprises a real and imaginary part of a first complex vector value. A complex load and splat operation is performed to load a second complex vector value of a second vector operand and replicate the second complex vector value within a second target vector register. The second complex vector value has a real and imaginary part. A cross multiply add operation is performed on elements of the first target vector register and elements of the second target vector register to generate a partial product of the complex matrix multiplication operation. The partial product is accumulated with other partial products and a resulting accumulated partial product is stored in a result vector register.

Inventors:
; ;
Publication Date:
Research Org.:
International Business Machines Corporation, Armonk, NY, USA
Sponsoring Org.:
USDOE
OSTI Identifier:
1119675
Patent Number(s):
8,650,240
Application Number:
12/542,324
Assignee:
International Business Machines Corporation (Armonk, NY) OSTI
DOE Contract Number:  
B554331
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Eichenberger, Alexandre E, Gschwind, Michael K, and Gunnels, John A. Complex matrix multiplication operations with data pre-conditioning in a high performance computing architecture. United States: N. p., 2014. Web.
Eichenberger, Alexandre E, Gschwind, Michael K, & Gunnels, John A. Complex matrix multiplication operations with data pre-conditioning in a high performance computing architecture. United States.
Eichenberger, Alexandre E, Gschwind, Michael K, and Gunnels, John A. Tue . "Complex matrix multiplication operations with data pre-conditioning in a high performance computing architecture". United States. https://www.osti.gov/servlets/purl/1119675.
@article{osti_1119675,
title = {Complex matrix multiplication operations with data pre-conditioning in a high performance computing architecture},
author = {Eichenberger, Alexandre E and Gschwind, Michael K and Gunnels, John A},
abstractNote = {Mechanisms for performing a complex matrix multiplication operation are provided. A vector load operation is performed to load a first vector operand of the complex matrix multiplication operation to a first target vector register. The first vector operand comprises a real and imaginary part of a first complex vector value. A complex load and splat operation is performed to load a second complex vector value of a second vector operand and replicate the second complex vector value within a second target vector register. The second complex vector value has a real and imaginary part. A cross multiply add operation is performed on elements of the first target vector register and elements of the second target vector register to generate a partial product of the complex matrix multiplication operation. The partial product is accumulated with other partial products and a resulting accumulated partial product is stored in a result vector register.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 11 00:00:00 EST 2014},
month = {Tue Feb 11 00:00:00 EST 2014}
}

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Works referenced in this record:

Adaptive Strassen and ATLAS's DGEMM: a fast square-matrix multiply for modern high-performance systems
conference, January 2005

  • D'Alberto, P.; Nicolau, A.
  • Eighth International Conference on High-Performance Computing in Asia-Pacific Region (HPCASIA'05)
  • DOI: 10.1109/HPCASIA.2005.18

High performance software on Intel Pentium Pro processors or Micro-Ops to TeraFLOPS
conference, January 1997

  • Greer, Bruce; Henry, Greg
  • Proceedings of the 1997 ACM/IEEE conference on Supercomputing (CDROM) - Supercomputing '97, p. 1-13
  • DOI: 10.1145/509593.509639