Trimm: A high speed parallel processor for optimization and estimation problems

R. L. Shoemaker; R. H. Seacat; A. Landesman; B. B. Taylor; H. H. Barrett

doi:10.1117/12.953305

Trimm: A high speed parallel processor for optimization and estimation problems

R. L. Shoemaker
, R. H. Seacat
, A. Landesman
, B. B. Taylor
, H. H. Barrett

Radiology & Imaging Sci Dept

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The design of a parallel processor containing 60 32-bit processors with on-chip floating point hardware, 60 Mbytes of memory, hardware random number generation, and a high bandwidth, reconfigurable interprocessor communications system is discussed. The system is especially well- suited to run Monte Carlo-based algorithms, such as simulated annealing, for optimization and estimation problems in nuclear medicine and other areas.

Original language	English (US)
Pages (from-to)	619-624
Number of pages	6
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1092
DOIs	https://doi.org/10.1117/12.953305
State	Published - May 25 1989

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Instrumentation
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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Cite this

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title = "Trimm: A high speed parallel processor for optimization and estimation problems",

abstract = "The design of a parallel processor containing 60 32-bit processors with on-chip floating point hardware, 60 Mbytes of memory, hardware random number generation, and a high bandwidth, reconfigurable interprocessor communications system is discussed. The system is especially well- suited to run Monte Carlo-based algorithms, such as simulated annealing, for optimization and estimation problems in nuclear medicine and other areas.",

author = "Shoemaker, \{R. L.\} and Seacat, \{R. H.\} and A. Landesman and Taylor, \{B. B.\} and Barrett, \{H. H.\}",

note = "Funding Information: This work is supported by the National Institutes of Health under grant 2-PO1-CA-23417-10.",

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T2 - A high speed parallel processor for optimization and estimation problems

AU - Shoemaker, R. L.

AU - Seacat, R. H.

AU - Landesman, A.

AU - Taylor, B. B.

AU - Barrett, H. H.

N1 - Funding Information: This work is supported by the National Institutes of Health under grant 2-PO1-CA-23417-10.

PY - 1989/5/25

Y1 - 1989/5/25

N2 - The design of a parallel processor containing 60 32-bit processors with on-chip floating point hardware, 60 Mbytes of memory, hardware random number generation, and a high bandwidth, reconfigurable interprocessor communications system is discussed. The system is especially well- suited to run Monte Carlo-based algorithms, such as simulated annealing, for optimization and estimation problems in nuclear medicine and other areas.

AB - The design of a parallel processor containing 60 32-bit processors with on-chip floating point hardware, 60 Mbytes of memory, hardware random number generation, and a high bandwidth, reconfigurable interprocessor communications system is discussed. The system is especially well- suited to run Monte Carlo-based algorithms, such as simulated annealing, for optimization and estimation problems in nuclear medicine and other areas.

UR - https://www.scopus.com/pages/publications/84941521978

UR - https://www.scopus.com/pages/publications/84941521978#tab=citedBy

U2 - 10.1117/12.953305

DO - 10.1117/12.953305

M3 - Article

AN - SCOPUS:84941521978

SN - 0277-786X

VL - 1092

SP - 619

EP - 624

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

ER -

Trimm: A high speed parallel processor for optimization and estimation problems

Abstract

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