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Krijn van der Raadt

dblp:78/2553 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—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
Parallel and multicore computing · 100%

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

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › parallel scheduling
divisible load scheduling
0.112005
Multiround Algorithms for Scheduling Divisible Loads · IEEE Trans. Parallel Distributed Syst. 2005
Parallel and multicore computing › parallel scheduling
heterogeneous multiprocessor scheduling
0.112005
Multiround Algorithms for Scheduling Divisible Loads · IEEE Trans. Parallel Distributed Syst. 2005
Parallel and multicore computing
parallel scheduling
0.112005
Multiround Algorithms for Scheduling Divisible Loads · IEEE Trans. Parallel Distributed Syst. 2005

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

closed-form optimal schedule · 0.1UMR algorithm · 0.1
YearPublicationVenuePosition
2005 Multiround Algorithms for Scheduling Divisible Loads
abstract
Divisible load applications occur in many fields of science and engineering and can be easily parallelized in a master-worker fashion, but pose several scheduling challenges. While a number of approaches have been proposed that allocate load to workers in a single round, using multiple rounds improves overlap of computation with communication. Unfortunately, multiround algorithms are difficult to analyze and have thus received only limited attention. In this paper, we answer three open questions in the multiround divisible load scheduling area: 1) how to account for latencies, 2) how to account for heterogeneous platforms, and 3) how many rounds should be used. To answer 1), we derive the first closed-form optimal schedule for a homogeneous platform with both computation and communication latencies, for a given number of rounds. To answer 2) and 3), we present a novel algorithm, UMR. We evaluate UMR in a variety of realistic scenarios.
Krijn van der Raadt, Henri Casanova
IEEE Trans. Parallel Distributed Syst.2