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James A. Perreault

dblp:70/6460 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none

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

Systems, architecture and hardware · 4

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
4 papers
Interconnection networks and networks-on-chip · 87% Memory systems · 13%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip
optical interconnection networks
0.041995
LIGHTNING: A Scalable Dynamically Reconfigurable Hierarchical WDM Network for High-Performance Clustering · HPDC 1995
Addendum to "Hierarchical Scalable Photonic Architectures for High-Performance Processor Interconnection" · IEEE Trans. Computers 1994
Hierarchical Scalable Photonic Architectures for High-Performance Processor Interconnection · IEEE Trans. Computers 1993
Interconnection networks and networks-on-chip › optical interconnection networks
wavelength division multiplexing
0.031995
LIGHTNING: A Scalable Dynamically Reconfigurable Hierarchical WDM Network for High-Performance Clustering · HPDC 1995
Hierarchical Scalable Photonic Architectures for High-Performance Processor Interconnection · IEEE Trans. Computers 1993
Design and Analysis of a Hierarchical Scalable Photonic Architecture · HPDC 1993
Memory systems › shared memory
distributed shared memory
0.021995
LIGHTNING: A Scalable Dynamically Reconfigurable Hierarchical WDM Network for High-Performance Clustering · HPDC 1995
Addendum to "Hierarchical Scalable Photonic Architectures for High-Performance Processor Interconnection" · IEEE Trans. Computers 1994
Interconnection networks and networks-on-chip › high-speed networks
supercomputer interconnect
0.011995
LIGHTNING: A Scalable Dynamically Reconfigurable Hierarchical WDM Network for High-Performance Clustering · HPDC 1995
Interconnection networks and networks-on-chip › network topology
hierarchical interconnection network
0.011993
Design and Analysis of a Hierarchical Scalable Photonic Architecture · HPDC 1993
Interconnection networks and networks-on-chip
multiprocessor interconnection
0.011993
Design and Analysis of a Hierarchical Scalable Photonic Architecture · HPDC 1993

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

wavelength- and space-division multiplexing · 0.0decentralized bandwidth re-allocation · 0.0addendum · 0.0wavelength channel reuse · 0.0discrete-event simulation · 0.0analytic modeling · 0.0acousto-optic tunable filters · 0.0
YearPublicationVenuePosition
1995 LIGHTNING: A Scalable Dynamically Reconfigurable Hierarchical WDM Network for High-Performance Clustering
abstract
LIGHTNING is a dynamically reconfigurable WDM network testbed project for supercomputer interconnection. This paper describes a hierarchical WDM-based optical network testbed that is being constructed to interconnect a large number of supercomputers and to create a distributed shared memory environment. The objective of the hierarchical architecture is to achieve scalability yet avoiding the requirement of multiple wavelength tunable devices per node. Furthermore, single-hop all-optical communication is achieved: a packet remains in the optical form from source to destination and does not require intermediate routing. The wavelength multiplexed hierarchical structure features wavelength channel re-use at each level, allowing scalability to very large system sizes. It partitions the traffic between different levels of the hierarchy without electronic intervention in a combination of wavelength- and space-division multiplexing. A significant advantage of this approach is its ability to dynamically vary the bandwidth provided to different levels of the hierarchy. Each node in LIGHTNING receives traffic on n channels in an n-level hierarchy, one channel for each level. Each node monitors the traffic intensities on each channel and can detect any temporal or spatial shift in traffic balance. LIGHTNING can dynamically reconfigure to balance the traffic at each level by moving wavelengths associated with each level up or down depending on need. Bandwidth re-allocation is completely decentralized-any node can initiate it, achieving highly fault tolerant system behavior. This paper describes the system architecture, network and memory interface, and the optical devices that have been developed in this project.
Patrick W. Dowd, James A. Perreault, John C. Chu, David C. Hoffmeister, Dan Crouse
HPDC2
1994 Addendum to "Hierarchical Scalable Photonic Architectures for High-Performance Processor Interconnection"
abstract
The above paper by L. Bhuyan and D.P. Agrawal (1984) described a hierarchical, all-optical wavelength division multiplexed (WDM) network that is being built to support the communication requirements of a large distributed shared memory system. Dynamically adaptable bandwidth allocation is supported, both within and between levels of the hierarchy, and is highly scalable through wavelength re-use at each hierarchical level. The mixed radix scheme introduced was used for processor numbering, but was not specified. The system was described in term of a time multiplexed access protocol, generalized to the multichannel WDM environment, which has static slot assignment that provides excellent throughput but long latencies due to cycle synchronization. The actual system implementation will use a hybrid WDMA strategy, which is collisionless, provides low latency support, dynamic bandwidth allocation within a hierarchical level, and a fast reliable broadcast.>
Patrick W. Dowd, Kalyani Bogineni, Khaled A. Aly, James A. Perreault
IEEE Trans. Computers4
1993 Design and Analysis of a Hierarchical Scalable Photonic Architecture
abstract
This paper introduces a hierarchical optical structure for processor interconnection and evaluates its performance. The architecture is based on wavelength division multiplexing (WDM) which enables multiple multi-access channels to be realized on a single optical fiber. The objective of the hierarchical architecture is to achieve scalability yet avoid the requirement of multiple wavelength tunable devices per node as with the WDM-based hypercube interconnection scheme. Furthermore, single-hop communication is achieved: a packet remains in the optical form from source to destination and does not require cross dimensional intermediate routing. The wavelength multiplexed hierarchical structure features wavelength channel re-use at each level, allowing scalability to very large system sizes. It employs acousto-optic tunable filters in conjunction with passive couplers to partition the traffic between different levels of the hierarchy without electronic intervention. A significant advantage of the proposed structure is its ability to dynamically vary the bandwidth provided to different levels of the hierarchy. The architecture is compared to a wavelength-flat architecture in terms of physical and performance scalability.>
Patrick W. Dowd, Kalyani Bogineni, Khaled A. Aly, James A. Perreault
HPDC4
1993 Hierarchical Scalable Photonic Architectures for High-Performance Processor Interconnection
abstract
Introduces two hierarchical optical structures for processor interconnection and compares their performance through analytic models and discrete-event simulation. Both architectures are based on wavelength division multiplexing (WDM) which enables multiple multi-access channels to be realized on a single optical fiber. The objective of the hierarchical architectures is to achieve scalability yet avoid the requirement of multiple wavelength tunable devices per node. Furthermore, both hierarchical architectures are single-hop: a packet remains in the optical form from source to destination and does not require cross dimensional intermediate routing.>
Patrick W. Dowd, Kalyani Bogineni, Khaled A. Aly, James A. Perreault
IEEE Trans. Computers4