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ICANN
2010
Springer
13 years 9 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
ICPR
2004
IEEE
14 years 9 months ago
Using Multiple Graphics Cards as a General Purpose Parallel Computer : Applications to Computer Vision
Pattern recognition and computer vision tasks are computationally intensive, repetitive, and often exceed the capabilities of the CPU, leaving little time for higher level tasks. ...
James Fung, Steve Mann
ARC
2006
Springer
120views Hardware» more  ARC 2006»
14 years 5 days ago
Applications of Small-Scale Reconfigurability to Graphics Processors
We explore the application of Small-Scale Reconfigurability (SSR) to graphics hardware. SSR is an architectural technique wherein functionality common to multiple subunits is reuse...
Kevin Dale, Jeremy W. Sheaffer, Vinu Vijay Kumar, ...
FPL
2006
Springer
211views Hardware» more  FPL 2006»
14 years 2 days ago
Comparing FPGAs to Graphics Accelerators and the Playstation 2 Using a Unified Source Description
Field programmable gate arrays (FPGAs), graphics processing units (GPUs) and Sony's PlayStation 2 vector units offer scope for hardware acceleration of applications. We compa...
Lee W. Howes, Paul Price, Oskar Mencer, Olav Beckm...
FCCM
1999
IEEE
127views VLSI» more  FCCM 1999»
14 years 22 days ago
Mapping of an Automated Target Recognition Application from a Graphical Software Environment to FPGA-Based Reconfigurable Hardwa
A significant obstacle to the widespread adoption of FPGAbased configurable computing hardware has been the difficulty of mapping applications onto this hardware. We are developin...
Benjamin A. Levine, Senthil Natarajan, Chandra Tan...