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ICANN
2010
Springer
13 years 10 months ago
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
Dominik Scherer, Hannes Schulz, Sven Behnke
ORL
1998
130views more  ORL 1998»
13 years 8 months ago
Accelerating convergence in the Fermat-Weber location problem
This paper presents a simple procedure for accelerating convergence in a generalized Fermat–Weber problem with lp distances. The main idea is to multiply the predetermined step ...
Jack Brimberg, Reuven Chen, Doron Chen
ENTCS
2010
208views more  ENTCS 2010»
13 years 6 months ago
Accelerated Invariant Generation for C Programs with Aspic and C2fsm
In this paper, we present Aspic, an automatic polyhedral invariant generation tool for flowcharts programs. Aspic implements an improved Linear Relation Analysis on numeric counte...
Paul Feautrier, Laure Gonnord
CCGRID
2010
IEEE
13 years 10 months ago
Designing Accelerator-Based Distributed Systems for High Performance
Abstract--Multi-core processors with accelerators are becoming commodity components for high-performance computing at scale. While accelerator-based processors have been studied in...
M. Mustafa Rafique, Ali Raza Butt, Dimitrios S. Ni...
TC
2010
13 years 7 months ago
Network-on-Chip Hardware Accelerators for Biological Sequence Alignment
—The most pervasive compute operation carried out in almost all bioinformatics applications is pairwise sequence homology detection (or sequence alignment). Due to exponentially ...
Souradip Sarkar, Gaurav Ramesh Kulkarni, Partha Pr...