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Philip T. Mueller Jr.

dblp:98/6369 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Processor architecture and microarchitecture · 33% Parallel and multicore computing · 33% Memory systems · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › shared memory › distributed shared memory
distributed memory management		 0.011981
PASM: A Partitionable SIMD/MIMD System for Image Processing and Pattern Recognition · IEEE Trans. Computers 1981
Parallel and multicore computing › parallel algorithms
parallel image processing		 0.011981
PASM: A Partitionable SIMD/MIMD System for Image Processing and Pattern Recognition · IEEE Trans. Computers 1981

Methods — techniques the papers use, named apart from their topics

multimicroprocessor design · 0.0dynamic reconfiguration · 0.0
YearPublicationVenuePosition
1986 FFT Algorithms for SIMD Parallel Processing Systems
Leah H. Jamieson, Philip T. Mueller Jr., Howard Jay Siegel
 J. Parallel Distributed Comput.2
1981 PASM: A Partitionable SIMD/MIMD System for Image Processing and Pattern Recognition
abstract
PASM, a large-scale multimicroprocessor system being designed at Purdue University for image processing and pattern recognition, is described. This system can be dynamically reconfigured to operate as one or more independent SIMD and/or MIMD machines. PASM consists of a parallel computation unit, which contains N processors, N memories, and an interconnection network; Q microcontrollers, each of which controls N/Q processors; N/Q parallel secondary storage devices; a distributed memory management system; and a system control unit, to coordinate the other system components. Possible values for N and Q are 1024 and 16, respectively. The control schemes and memory management in PASM are explored. Examples of how PASM can be used to perform image processing tasks are given.
Howard Jay Siegel, Leah J. Siegel, Frederick C. Kemmerer, Philip T. Mueller Jr., Harold E. Smalley, S. Diane Smith
 IEEE Trans. Computers4