Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Donald Y. Chang

dblp:08/1779 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1977
—ORCID · none

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

Systems, architecture and hardware · 1 · 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
1 paper
Memory systems · 67% Performance modeling and evaluation · 33%

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

TopicWeightPapersLastEvidence papers
Memory systems › memory architecture
interleaved memory
0.011977
On the Effective Bandwidth of Parallel Memories · IEEE Trans. Computers 1977
Performance modeling and evaluation › performance model construction
memory system performance modeling
0.011977
On the Effective Bandwidth of Parallel Memories · IEEE Trans. Computers 1977
Memory systems › memory architecture
parallel memory system
0.011977
On the Effective Bandwidth of Parallel Memories · IEEE Trans. Computers 1977

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

simulation · 0.0analytical modeling · 0.0
YearPublicationVenuePosition
1977 On the Effective Bandwidth of Parallel Memories
abstract
The object of this paper is to bring together several models of interleaved or parallel memory systems and to expose some of the underlying assumptions about the address streams in each model. We derive the performance for each model, either analytically or by simulation, and discuss why it yields better or worse performance than other models (e.g., because of dependencies in the address stream or hardware queues, etc.). We also show that the performance of a properly designed system can be a linear rather than a square root function of the number of memories and processors.
Donald Y. Chang, David J. Kuck, Duncan H. Lawrie
IEEE Trans. Computers1