Hong-Men Su

dblp:77/352 · DBLP profile ↗
← Back
4ranked-venue papers
3as first author
0since 2021 · last 1991
—ORCID · none

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

Systems, architecture and hardware · 4 · 3 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
3 papers
Parallel and multicore computing · 67% Memory systems · 13% Performance modeling and evaluation · 11%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
parallel programming models
0.021991
Efficient Doacross execution on distributed shared-memory multiprocessors · SC 1991
On Data Synchronization for Multiprocessors · ISCA 1989
Memory systems › shared memory
distributed shared memory
0.011991
Efficient Doacross execution on distributed shared-memory multiprocessors · SC 1991
Parallel and multicore computing › loop transformation › loop parallelization
DOACROSS loops
0.011991
Efficient Doacross execution on distributed shared-memory multiprocessors · SC 1991
Parallel and multicore computing › multiprocessor system
shared-memory multiprocessor
0.011991
Efficient Doacross execution on distributed shared-memory multiprocessors · SC 1991
Performance modeling and evaluation
parallel system performance
0.011990
The Impact of Synchronization and Granularity on Parallel Systems · ISCA 1990
Distributed systems
data synchronization
0.011989
On Data Synchronization for Multiprocessors · ISCA 1989
Parallel and multicore computing › parallelization strategies
fine-grained parallelism
0.011989
On Data Synchronization for Multiprocessors · ISCA 1989
Parallel and multicore computing
synchronization
0.011989
On Data Synchronization for Multiprocessors · ISCA 1989
Compilers and program optimization
parallelizing compiler
0.011991
Efficient Doacross execution on distributed shared-memory multiprocessors · SC 1991

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

synchronization · 0.0doacross execution · 0.0granularity analysis · 0.0
YearPublicationVenuePosition
1991 Efficient Interprocessor Communication on Distributed Shared-Memory Multiprocessors
Hong-Men Su, Pen-Chung Yew
ICPP (1)1
1991 Efficient Doacross execution on distributed shared-memory multiprocessors
abstract
Article Efficient Doacross execution on distributed shared-memory multiprocessors Share on Authors: Hong-Men Su Center for Supercomputing Research and Development, University of Illinois at Urbana-Champaign, Urbana, Illinois Center for Supercomputing Research and Development, University of Illinois at Urbana-Champaign, Urbana, IllinoisView Profile , Pen-Chung Yew Center for Supercomputing Research and Development, University of Illinois at Urbana-Champaign, Urbana, Illinois Center for Supercomputing Research and Development, University of Illinois at Urbana-Champaign, Urbana, IllinoisView Profile Authors Info & Claims Supercomputing '91: Proceedings of the 1991 ACM/IEEE conference on SupercomputingAugust 1991 Pages 842–853https://doi.org/10.1145/125826.105185Published:01 August 1991 7citation268DownloadsMetricsTotal Citations7Total Downloads268Last 12 Months1Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Hong-Men Su, Pen-Chung Yew
SC1
1990 The Impact of Synchronization and Granularity on Parallel Systems
Ding-Kai Chen, Hong-Men Su, Pen-Chung Yew
ISCA2
1989 On Data Synchronization for Multiprocessors
abstract
As the grain size becomes smaller, more parallelism can be found in most programs. However, to exploit smaller grain parallelism, more efficient synchronization primitives are needed to reduce the increased synchronization overhead. The granularity of parallelism that can be exploited on a multiprocessor system depends heavily on the type and the efficiency of the synchronization supported by the system. For medium-grain parallelism, ordered dependencies such as data dependencies and control dependencies need to be enforced in order to guarantee the correctness of the parallel execution. Hence, data synchronization is one of the major sources of synchronization overhead in the program execution.
Hong-Men Su, Pen-Chung Yew
ISCA1