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Rolf Vandevaart

dblp:53/10958 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—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 · 77% GPUs and heterogeneous computing · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › parallel programming models › message passing
MPI communication		 0.212016
GPU-Aware Non-contiguous Data Movement In Open MPI · HPDC 2016

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

non-contiguous memory layout handling · 0.2MPI · 0.2
YearPublicationVenuePosition
2016 GPU-Aware Non-contiguous Data Movement In Open MPI
abstract
Due to better parallel density and power efficiency, GPUs have become more popular for use in scientific applica- tions. Many of these applications are based on the ubiquitous Message Passing Interface (MPI) programming paradigm, and take advantage of non-contiguous memory layouts to exchange data between processes. However, support for efficient non- contiguous data movements for GPU-resident data is still in its infancy, imposing a negative impact on the overall application performance.
Wei Wu 0016, George Bosilca, Rolf Vandevaart, Sylvain Jeaugey, Jack J. Dongarra
 HPDC3