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» A Paradigm for Parallel Matrix Algorithms:
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WCE
2007
15 years 5 months ago
Sparse Matrix Multiplication Using UPC
—Partitioned global address space (PGAS) languages, such as Unified Parallel C (UPC) have the promise of being productive. Due to the shared address space view that they provide,...
Hoda El-Sayed, Eric Wright
FTTCS
2006
132views more  FTTCS 2006»
15 years 4 months ago
Algorithms and Data Structures for External Memory
Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast ...
Jeffrey Scott Vitter
BIOADIT
2004
Springer
15 years 8 months ago
Anatomy and Physiology of an Artificial Vision Matrix
We present a detailed account of the processing that occurs within a biologically-inspired model for visual homing. The Corner Gradient Snapshot Model (CGSM) initially presented in...
Andrew Vardy, Franz Oppacher
FGCS
2008
127views more  FGCS 2008»
15 years 4 months ago
Monte Carlo methods for matrix computations on the grid
Many scientific and engineering applications involve inverting large matrices or solving systems of linear algebraic equations. Solving these problems with proven algorithms for d...
Simon Branford, Cihan Sahin, Ashish Thandavan, Chr...
ARC
2010
Springer
387views Hardware» more  ARC 2010»
15 years 11 months ago
Optimising Memory Bandwidth Use for Matrix-Vector Multiplication in Iterative Methods
Computing the solution to a system of linear equations is a fundamental problem in scientific computing, and its acceleration has drawn wide interest in the FPGA community [1–3]...
David Boland, George A. Constantinides