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Nagajagadeswar Seelam

dblp:70/3742 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1998
—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
High-performance computing · 77% Parallel and multicore computing · 23%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Compilers and program optimization
parallelizing compiler
0.011998
Otter: Bridging the Gap between MATLAB and ScaLAPACK · HPDC 1998

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

runtime library design · 0.0multi-pass compilation · 0.0
YearPublicationVenuePosition
1998 Otter: Bridging the Gap between MATLAB and ScaLAPACK
abstract
We have developed a compiler, nicknamed "Otter", which translates ordinary MATLAB scripts into C programs targeting parallel computers supporting ScaLAPACK and several other parallel numerical libraries. We outline the phases of the multi-pass compiler and we discuss the design and implementation of the runtime library. We present the performance achieved by ten compiled benchmark scripts on four distinct parallel platforms, relative to the speed of the MATLAB interpreter executing these scripts on a single CPU. Finally, we illustrate how different data distributions and block sizes can affect the performance of a compiled code.
Michael J. Quinn, Alexey G. Malishevsky, Nagajagadeswar Seelam
HPDC3