highly parallel computing

IEEE Xplore - A survey of highly parallel computing.

Metrics for evaluation of parallel efficiency toward highly parallel.

To achieve widespread acceptance of parallel computers, sev.. Models and Design Methodologies for General-Purpose Highly-Parallel Computers (1991).
Feb 15, 2012. Call for Papers: TACC-Intel Highly Parallel Computing Symposium.
In response to the stagnant growth in single-processor performance single-chip, multi-core parallelism is the most promising solution to the demands for high.

Call for Papers: TACC-Intel Highly Parallel Computing Symposium.

highly parallel computing

Highly Parallel Computing Jobs, Employment | Indeed.com.
Mar 22, 2013. be organized and optimized for highly parallel computer architectures.. Parallel programming is all about applications' capacity to carry.
In light of these advances, evaluation of parallel performance has taken on an important role in highly parallel processing. Fixed problem size sets a lower limit.
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A methodology is presented which is aimed at the development of efficient and portable software for general-purpose highly-parallel computers.
US4145733, Sep 7, 1976, Mar 20, 1979, Massachusetts Institute of Technology, Data processing apparatus for highly parallel execution of stored programs.
Jan 9, 2012. The TACC-Intel Highly Parallel Computing Symposium will take place on Tuesday April 10th – Wednesday April 11th 2012 at the Texas.
Two and three dimensional FFTs on highly parallel computers.
An algorithm is described for computing two and three dimensional Fourier  transforms on computers of SIMD architecture. The algorithm assumes the  existence.
Exploiting Multiple Degrees Of Bp Parallelism On The Highly.

highly parallel computing

CiteSeerX — Citation Query Highly Parallel Computing (2nd edition.

Static space sharing is a promising processor allocation strategy for highly- parallel computers. Parallel jobs or tasks are allocated fixed distinct subsets of.
Pisa Parallel Processing Project , VLIW , abstract machine architecture , design methodologies , general-purpose highly-parallel computers , machine.
Dynamic load balancing (DLB) is essential for the efficient use of highly parallel systems when solving non-uniform problems with unpredictable load estimates.