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Bradley K. Seevers

dblp:21/5434 · DBLP profile ↗
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2ranked-venue papers
0as 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 · 2

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
2 papers
Parallel and multicore computing · 85% High-performance computing · 15%
Software engineering, system software, and programming languages
2 papers
Compilers and program optimization · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
data-parallel programming		 0.021991
Data-Parallel Programming on MIMD Computers · IEEE Trans. Parallel Distributed Syst. 1991
Architecture-independent scientific programming in data parallel C: three case studies · SC 1991
Compilers and program optimization
parallelizing compiler		 0.021991
Data-Parallel Programming on MIMD Computers · IEEE Trans. Parallel Distributed Syst. 1991
Architecture-independent scientific programming in data parallel C: three case studies · SC 1991
Parallel and multicore computing › data-parallel programming
data-parallel compilation		 0.011991
Data-Parallel Programming on MIMD Computers · IEEE Trans. Parallel Distributed Syst. 1991
Parallel and multicore computing
parallel programming models		 0.011991
Architecture-independent scientific programming in data parallel C: three case studies · SC 1991
Parallel and multicore computing › parallel computing
parallel scientific computing		 0.011991
Architecture-independent scientific programming in data parallel C: three case studies · SC 1991
High-performance computing
scientific computing systems		 0.011991
Architecture-independent scientific programming in data parallel C: three case studies · SC 1991
Parallel and multicore computing › multiprocessor system › distributed-memory multiprocessor
hypercube multiprocessor		 0.011991
Data-Parallel Programming on MIMD Computers · IEEE Trans. Parallel Distributed Syst. 1991
Parallel and multicore computing
multicomputer		 0.011991
Data-Parallel Programming on MIMD Computers · IEEE Trans. Parallel Distributed Syst. 1991

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

performance evaluation · 0.0SIMD compilation · 0.0
YearPublicationVenuePosition
1991 Architecture-independent scientific programming in data parallel C: three case studies
abstract
DataparallelC is a SIMD programming language suitable for solving many problems arising in science and engineering, We have developed compilers that translate Dataparallel C programs into C code that can be compiled and executed on multicomputers and multiprocessors.We describe the Dataparallel C programming language, the implementation of three scienti$c programs in Dataparallel C, and the pe~ormance of the compiled programs on three MIMD computers: the Intel iPSC/2, the nCUBE 3200, and the Sequent Symmetry S81.These case studies-an ocean circulation model, the "shallow-water" atmospheric model, and the Sharks World model-illustrate that nontrivial SIMD programs can achieve good speedup on MIMD computers and still be portable.
Philip J. Hatcher, Michael J. Quinn, Ray J. Anderson, Anthony J. Lapadula, Bradley K. Seevers, Andrew F. Bennett
 SC5
1991 Data-Parallel Programming on MIMD Computers
abstract
The implementation of two compilers for the data-parallel programming language Dataparallel C is described. One compiler generates code for Intel and nCUBE hypercube multicomputers; the other generates code for Sequent multiprocessors. A suite of Dataparallel C programs has been compiled and executed, and their execution times and speedups on the Intel iPSC/2, the nCUBE 3200 and the Sequent Symmetry are presented.>
Philip J. Hatcher, Michael J. Quinn, Anthony J. Lapadula, Bradley K. Seevers, Ray J. Anderson, Robert R. Jones
 IEEE Trans. Parallel Distributed Syst.4