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CORR
2007
Springer
59views Education» more  CORR 2007»
14 years 9 months ago
On the use of self-organizing maps to accelerate vector quantization
Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantiÿed (or classiÿed) either on the same location or on nei...
Eric de Bodt, Marie Cottrell, Patrick Letré...
ISPASS
2010
IEEE
15 years 4 months ago
Visualizing complex dynamics in many-core accelerator architectures
—While many-core accelerator architectures, such as today’s Graphics Processing Units (GPUs), offer orders of magnitude more raw computing power than contemporary CPUs, their m...
Aaron Ariel, Wilson W. L. Fung, Andrew E. Turner, ...
ICCAD
1995
IEEE
170views Hardware» more  ICCAD 1995»
15 years 1 months ago
Acceleration techniques for dynamic vector compaction
: We present several techniques for accelerating dynamic vector compaction for combinational and sequential circuits. A key feature of all our techniques is that they significantly...
Anand Raghunathan, Srimat T. Chakradhar
MICRO
2008
IEEE
137views Hardware» more  MICRO 2008»
15 years 4 months ago
Tradeoffs in designing accelerator architectures for visual computing
Visualization, interaction, and simulation (VIS) constitute a class of applications that is growing in importance. This class includes applications such as graphics rendering, vid...
Aqeel Mahesri, Daniel R. Johnson, Neal C. Crago, S...
IPPS
2010
IEEE
14 years 7 months ago
Acceleration of spiking neural networks in emerging multi-core and GPU architectures
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...