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Feng-Fu Lin

dblp:63/401 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

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

Systems, architecture and hardware · 1

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
Performance modeling and evaluation · 28% Processor architecture and microarchitecture · 28% Parallel and multicore computing · 28%

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

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture › multiprocessor architecture
bus-based multiprocessor
0.011999
An Easy-to-Use Approach for Practical Bus-Based System Design · IEEE Trans. Computers 1999
Performance modeling and evaluation
queueing models
0.011999
An Easy-to-Use Approach for Practical Bus-Based System Design · IEEE Trans. Computers 1999
Parallel and multicore computing › multiprocessor system
shared-memory multiprocessor
0.011999
An Easy-to-Use Approach for Practical Bus-Based System Design · IEEE Trans. Computers 1999
Memory systems
cache design
0.011999
An Easy-to-Use Approach for Practical Bus-Based System Design · IEEE Trans. Computers 1999
Memory systems › cache design
cache sizing
0.011999
An Easy-to-Use Approach for Practical Bus-Based System Design · IEEE Trans. Computers 1999

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

simulation · 0.0queueing analysis · 0.0
YearPublicationVenuePosition
1999 An Easy-to-Use Approach for Practical Bus-Based System Design
abstract
We present an easy-to-use model that addresses the practical issues in designing bus-based shared-memory multiprocessor systems. The model relates the shared-bus width, bus cycle time, cache memory, the features of a program execution, and the number of processors on a shared bus to a metric called request utilization. The request utilization is treated as the scaling factor for the effective average waiting processors in computing the queuing delay cycles. Simulation study shows that the model performs very well in estimating the shared bus response time. Using the model, a system designer can quickly decide the number of the processors that a shared bus is able to support effectively, the size of the cache memory a system should use, and the bus cycle time that the main memory system should provide. With the model, we show that the design favors caching the requests for a contention-based medium instead of speeding up the transfers although the same performance can be respectively achieved by the two techniques in a contention-free situation.
Chung-Ho Chen, Feng-Fu Lin
IEEE Trans. Computers2