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» Petascale computing with accelerators
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FPL
2008
Springer
153views Hardware» more  FPL 2008»
13 years 11 months ago
FPGA acceleration of quasi-Monte Carlo in finance
Today, quasi-Monte Carlo (QMC) methods are widely used in finance to price derivative securities. The QMC approach is popular because for many types of derivatives it yields an es...
Nathan A. Woods, Tom VanCourt
STTT
2008
95views more  STTT 2008»
13 years 10 months ago
FAST: acceleration from theory to practice
Abstract. Fast is a tool for the analysis of systems manipulating unbounded integer variables. We check safety properties by computing the reachability set of the system under stud...
Sébastien Bardin, Alain Finkel, Jér&...
TNN
2008
177views more  TNN 2008»
13 years 10 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
ERSA
2010
159views Hardware» more  ERSA 2010»
13 years 8 months ago
Acceleration of FPGA Fault Injection Through Multi-Bit Testing
SRAM-based FPGA devices are an attractive option for data processing on space-based platforms, due to high computational capabilities and a lower power envelope than traditional pr...
Grzegorz Cieslewski, Alan D. George, Adam Jacobs
FPL
2010
Springer
267views Hardware» more  FPL 2010»
13 years 8 months ago
A Comparison of Hardware Acceleration Interfaces in a Customizable Soft Core Processor
Due to the continuously decreasing cost of FPGAs, they have become a valid implementation platform for SOCs. Typically, a soft core processor implementation is used to execute the ...
Gerald Hempel, Christian Hochberger, Andreas Koch