skip to main content
DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Endpoint-based parallel data processing with non-blocking collective instructions in a parallel active messaging interface of a parallel computer

Abstract

Methods, apparatuses, and computer program products for endpoint-based parallel data processing with non-blocking collective instructions in a parallel active messaging interface (`PAMI`) of a parallel computer are provided. Embodiments include establishing by a parallel application a data communications geometry, the geometry specifying a set of endpoints that are used in collective operations of the PAMI, including associating with the geometry a list of collective algorithms valid for use with the endpoints of the geometry. Embodiments also include registering in each endpoint in the geometry a dispatch callback function for a collective operation and executing without blocking, through a single one of the endpoints in the geometry, an instruction for the collective operation.

Inventors:
; ; ; ;
Issue Date:
Research Org.:
International Business Machines Corp., Armonk, NY (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1163974
Patent Number(s):
8,892,850
Application Number:
13/007,848
Assignee:
International Business Machines Corporation (Armonk, NY)
DOE Contract Number:  
B554331
Resource Type:
Patent
Resource Relation:
Patent File Date: 2011 Jan 17
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Archer, Charles J, Blocksome, Michael A, Cernohous, Bob R, Ratterman, Joseph D, and Smith, Brian E. Endpoint-based parallel data processing with non-blocking collective instructions in a parallel active messaging interface of a parallel computer. United States: N. p., 2014. Web.
Archer, Charles J, Blocksome, Michael A, Cernohous, Bob R, Ratterman, Joseph D, & Smith, Brian E. Endpoint-based parallel data processing with non-blocking collective instructions in a parallel active messaging interface of a parallel computer. United States.
Archer, Charles J, Blocksome, Michael A, Cernohous, Bob R, Ratterman, Joseph D, and Smith, Brian E. Tue . "Endpoint-based parallel data processing with non-blocking collective instructions in a parallel active messaging interface of a parallel computer". United States. https://www.osti.gov/servlets/purl/1163974.
@article{osti_1163974,
title = {Endpoint-based parallel data processing with non-blocking collective instructions in a parallel active messaging interface of a parallel computer},
author = {Archer, Charles J and Blocksome, Michael A and Cernohous, Bob R and Ratterman, Joseph D and Smith, Brian E},
abstractNote = {Methods, apparatuses, and computer program products for endpoint-based parallel data processing with non-blocking collective instructions in a parallel active messaging interface (`PAMI`) of a parallel computer are provided. Embodiments include establishing by a parallel application a data communications geometry, the geometry specifying a set of endpoints that are used in collective operations of the PAMI, including associating with the geometry a list of collective algorithms valid for use with the endpoints of the geometry. Embodiments also include registering in each endpoint in the geometry a dispatch callback function for a collective operation and executing without blocking, through a single one of the endpoints in the geometry, an instruction for the collective operation.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2014},
month = {11}
}

Patent:

Save / Share:

Works referenced in this record:

The deep computing messaging framework: generalized scalable message passing on the blue gene/P supercomputer
conference, January 2008

  • Kumar, Sameer; Ratterman, Joseph; Smith, Brian
  • Proceedings of the 22nd annual international conference on Supercomputing - ICS '08
  • DOI: 10.1145/1375527.1375544

MPI-LAPI: an efficient implementation of MPI for IBM RS/6000 SP systems
journal, January 2001

  • Banikazemi, M.; Govihdaraju, R. K.; Blackmore, R.
  • IEEE Transactions on Parallel and Distributed Systems, Vol. 12, Issue 10
  • DOI: 10.1109/71.963419

Hybrid parallel programming with MPI and unified parallel C
conference, January 2010

  • Dinan, James; Balaji, Pavan; Lusk, Ewing
  • Proceedings of the 7th ACM international conference on Computing frontiers - CF '10
  • DOI: 10.1145/1787275.1787323

Managing Multiple Communication Methods in High-Performance Networked Computing Systems
journal, January 1997

  • Foster, Ian; Geisler, Jonathan; Kesselman, Carl
  • Journal of Parallel and Distributed Computing, Vol. 40, Issue 1
  • DOI: 10.1006/jpdc.1996.1266

A task migration implementation of the Message-Passing Interface
conference, January 1996

  • Robinson, J.; Russ, S. H.; Flachs, B.
  • Proceedings of 5th IEEE International Symposium on High Performance Distributed Computing HPDC-96
  • DOI: 10.1109/HPDC.1996.546174

A message passing interface for parallel and distributed computing
conference, January 1993

  • Hariri, S.; Park, J. B.; Yu, F. -K.
  • [1993] The 2nd International Symposium on High Performance Distributed Computing, [1993] Proceedings The 2nd International Symposium on High Performance Distributed Computing
  • DOI: 10.1109/HPDC.1993.263854

Robust Message-Passing for Statistical Inference in Sensor Networks
conference, April 2007

  • Schiff, Jeremy; Antonelli, Dominic; Dimakis, Alexandros G.
  • 2007 6th International Symposium on Information Processing in Sensor Networks
  • DOI: 10.1109/IPSN.2007.4379670

Optimizing MPI Collectives Using Efficient Intra-node Communication Techniques over the Blue Gene/P Supercomputer
conference, May 2011

  • Mamidala, Amith R.; Faraj, Daniel; Kumar, Sameer
  • Distributed Processing, Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum
  • DOI: 10.1109/IPDPS.2011.220