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» High-performance computing using accelerators
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73
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ICAPR
2005
Springer
15 years 3 months ago
Unsupervised Markovian Segmentation on Graphics Hardware
Abstract. This contribution shows how unsupervised Markovian segmentation techniques can be accelerated when implemented on graphics hardware equipped with a Graphics Processing Un...
Pierre-Marc Jodoin, Jean-François St-Amour,...
89
Voted
GECCO
2007
Springer
207views Optimization» more  GECCO 2007»
15 years 4 months ago
A data parallel approach to genetic programming using programmable graphics hardware
In recent years the computing power of graphics cards has increased significantly. Indeed, the growth in the computing power of these graphics cards is now several orders of magn...
Darren M. Chitty
ISSAC
2009
Springer
155views Mathematics» more  ISSAC 2009»
15 years 4 months ago
Parallel sparse polynomial multiplication using heaps
We present a high performance algorithm for multiplying sparse distributed polynomials using a multicore processor. Each core uses a heap of pointers to multiply parts of the poly...
Michael B. Monagan, Roman Pearce
WSC
2004
14 years 11 months ago
Simulation in Context: Using Data Farming for Decision Support
Data Farming leverages high performance computing to run simple models many times. This process allows for the exploration of massive parameter spaces relatively quickly. This pap...
Philip S. Barry, Matthew T. K. Koehler
188
Voted
PADL
2009
Springer
15 years 11 months ago
Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell
Analysis of biological data often involves large data sets and computationally expensive algorithms. Databases of biological data continue to grow, leading to an increasing demand ...
Ketil Malde, Bryan O'Sullivan