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JunSeong Kim

dblp:56/2431 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2010
—ORCID · unresolved

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

Systems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 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
Distributed systems · 67% Electronic design automation · 33%

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

TopicWeightPapersLastEvidence papers
Distributed systems
communication optimization
0.011997
Utilizing Heterogeneous Networks in Distributed Parallel Computing Systems · HPDC 1997
Distributed systems
heterogeneous networks
0.011997
Utilizing Heterogeneous Networks in Distributed Parallel Computing Systems · HPDC 1997
Electronic design automation
path selection
0.011997
Utilizing Heterogeneous Networks in Distributed Parallel Computing Systems · HPDC 1997
YearPublicationVenuePosition
2010 A pattern-based prediction: An empirical approach to predict end-to-end network latency
JunSeong Kim, JongSu Yi
J. Syst. Softw.1
1997 Utilizing Heterogeneous Networks in Distributed Parallel Computing Systems
abstract
Heterogeneity is becoming quite common in distributed parallel computing systems, both in processor architectures and in communication networks. Different types of networks have different performance characteristics, while different types of messages may have different communication requirements. In this work, we analyze two techniques for exploiting these heterogeneous characteristics and requirements to reduce the communication overhead of parallel application programs executed on distributed computing systems. The performance based path selection (PBPS) technique selects the best (lowest latency) network among several for each individual message, while the second technique aggregates multiple networks into a single virtual network. We present a general approach for applying and evaluating these techniques to a distributed computing system with multiple interprocessor communication networks. We also generate performance curves for a cluster of IBM workstations interconnected with Ethernet, ATM, and Fibre Channel networks. As we show with several of the NAS benchmarks, these curves can be used to estimate the potential improvement in communication performance that can be obtained with these techniques, given some simple communication characteristics of an application program.
JunSeong Kim, David J. Lilja
HPDC1