WO2003060748A3 - Parallel processing systems and method - Google Patents

Parallel processing systems and method Download PDF

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Publication number
WO2003060748A3
WO2003060748A3 PCT/US2003/000787 US0300787W WO03060748A3 WO 2003060748 A3 WO2003060748 A3 WO 2003060748A3 US 0300787 W US0300787 W US 0300787W WO 03060748 A3 WO03060748 A3 WO 03060748A3
Authority
WO
WIPO (PCT)
Prior art keywords
nodes
algorithm
request
howard cascade
method
Prior art date
Application number
PCT/US2003/000787
Other languages
French (fr)
Other versions
WO2003060748A2 (en
Inventor
Silva Chang
Kevin David Howard
Glen Curtis Rea
Nick Wade Robertson
Original Assignee
Massively Parallel Technologie
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority to US34732502P priority Critical
Priority to US60/347,325 priority
Application filed by Massively Parallel Technologie filed Critical Massively Parallel Technologie
Publication of WO2003060748A2 publication Critical patent/WO2003060748A2/en
Publication of WO2003060748A3 publication Critical patent/WO2003060748A3/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • G06F9/5066Algorithms for mapping a plurality of inter-dependent sub-tasks onto a plurality of physical CPUs
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/40Transformation of program code
    • G06F8/41Compilation
    • G06F8/45Exploiting coarse grain parallelism in compilation, i.e. parallelism between groups of instructions

Abstract

Methods and systems for parallel computation of an algorithm using a plurality of nodes configured as a Howard Cascade. A home node of a Howard Cascade receives a request from ahost system to compute an algorithm identified in the request. The request is distributed to processing nodes of the Howard Cascade in a time sequence order in a manner to minimize the time to so expand the Howard Cascade. The participating nodes then perform the designated portion of the algorithm in parallel. Partial results from each node are agglomerated upstream to higher nodes of the structure and then returned to the host system. The nodes each include a library of stored algorithms accompanied by data template information defining partitioning of the data used in the algorithm among the number of participating nodes.
PCT/US2003/000787 2002-01-10 2003-01-10 Parallel processing systems and method WO2003060748A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US34732502P true 2002-01-10 2002-01-10
US60/347,325 2002-01-10

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
CA 2472442 CA2472442A1 (en) 2002-01-10 2003-01-10 Parallel processing systems and method
JP2003560774A JP4596781B2 (en) 2002-01-10 2003-01-10 Parallel processing system and method
EP20030713226 EP1502203A2 (en) 2002-01-10 2003-01-10 Parallel processing systems and method
AU2003217190A AU2003217190A1 (en) 2002-01-10 2003-01-10 Parallel processing systems and method

Publications (2)

Publication Number Publication Date
WO2003060748A2 WO2003060748A2 (en) 2003-07-24
WO2003060748A3 true WO2003060748A3 (en) 2004-11-18

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2003/000787 WO2003060748A2 (en) 2002-01-10 2003-01-10 Parallel processing systems and method

Country Status (5)

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EP (1) EP1502203A2 (en)
JP (5) JP4596781B2 (en)
AU (1) AU2003217190A1 (en)
CA (1) CA2472442A1 (en)
WO (1) WO2003060748A2 (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7676807B2 (en) 2006-02-28 2010-03-09 Sap Ag Method and system for cascaded processing a plurality of data objects
US8108512B2 (en) 2006-09-01 2012-01-31 Massively Parallel Technologies, Inc. System and method for accessing and using a supercomputer
WO2009045526A1 (en) * 2007-10-03 2009-04-09 Scaleout Software, Inc. A method for implementing highly available parallel operations on a computational grip
US10216692B2 (en) 2009-06-17 2019-02-26 Massively Parallel Technologies, Inc. Multi-core parallel processing system
WO2012024435A2 (en) * 2010-08-17 2012-02-23 Massively Parallel Technologies, Inc. System and method for execution of high performance computing applications
JP6303806B2 (en) 2014-05-22 2018-04-04 富士通株式会社 Parallel computer system, a process control program, and a control method for a parallel computer system
US9851949B2 (en) 2014-10-07 2017-12-26 Kevin D. Howard System and method for automatic software application creation

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US5325526A (en) * 1992-05-12 1994-06-28 Intel Corporation Task scheduling in a multicomputer system
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Also Published As

Publication number Publication date
JP5487128B2 (en) 2014-05-07
AU2003217190A1 (en) 2003-07-30
JP2005515551A (en) 2005-05-26
WO2003060748A2 (en) 2003-07-24
JP4596781B2 (en) 2010-12-15
JP2008243216A (en) 2008-10-09
JP2013061958A (en) 2013-04-04
AU2003217190A8 (en) 2003-07-30
JP4698700B2 (en) 2011-06-08
JP2010277604A (en) 2010-12-09
CA2472442A1 (en) 2003-07-24
JP2011100487A (en) 2011-05-19
EP1502203A2 (en) 2005-02-02

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