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R. G. Arnold

dblp:92/3471 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1978
—ORCID · none

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

Systems, architecture and hardware · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 2 · 1 first-author

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
2 papers
Interconnection networks and networks-on-chip · 44% Performance modeling and evaluation · 25% Processor architecture and microarchitecture · 19%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
queueing models
0.011978
Analysis of a Multiprocessor System with a Shared Bus · ISCA 1978
Interconnection networks and networks-on-chip › bus-based interconnection
shared bus
0.011978
Analysis of a Multiprocessor System with a Shared Bus · ISCA 1978
Interconnection networks and networks-on-chip
bus-based interconnection
0.011976
A Hierarchical, Restructurable Multi-Microprocessor Architecture · ISCA 1976
Processor architecture and microarchitecture › multiprocessor architecture
reconfigurable multiprocessor
0.011976
A Hierarchical, Restructurable Multi-Microprocessor Architecture · ISCA 1976
Parallel and multicore computing
multiprocessor system
0.011978
Analysis of a Multiprocessor System with a Shared Bus · ISCA 1978

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

queueing analysis · 0.0
YearPublicationVenuePosition
1978 Analysis of a Multiprocessor System with a Shared Bus
abstract
An analysis for a multiprocessor system with a shared bus is given. The analysis applies to application areas where the task to be performed can be partitioned into largely independent subtasks. Each subtask requires cyclic execution on continuous data input. The objective is to determine the processing power of such a system as the number of subtasks or, equivalently, as the number of processors is increased.
Larry L. Kinney, R. G. Arnold
ISCA2
1976 A Hierarchical, Restructurable Multi-Microprocessor Architecture
abstract
This paper introduces a system architecture which allows a high degree of restructuring so that system resources may be tailored to processing requirements. The proposed system organization consists of a large number of byte-slice processors interconnected through a system of busses. Each processor is capable of communicating with every other processor in the system and any number of adjacent processors may be strung together to create a wider arithmetic capability than is possible with a single processor. Processors may be organized into a number of independent teams while processor teams may, in turn, be organized in a hierarchical fashion to allow for concurrent processing. Processor teams may function either in cooperation with or completely independent of other processor teams.
R. G. Arnold
ISCA1