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» Improving IPC by Kernel Design
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FPGA
2005
ACM
195views FPGA» more  FPGA 2005»
14 years 1 months ago
Sparse Matrix-Vector multiplication on FPGAs
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...
Ling Zhuo, Viktor K. Prasanna
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
15 years 2 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
DATE
2006
IEEE
82views Hardware» more  DATE 2006»
14 years 1 months ago
Power-aware compilation for embedded processors with dynamic voltage scaling and adaptive body biasing capabilities
Traditionally, active power has been the primary source of power dissipation in CMOS designs. Although, leakage power is becoming increasingly more important as technology feature...
Po-Kuan Huang, Soheil Ghiasi
FCSC
2010
92views more  FCSC 2010»
13 years 6 months ago
TRainbow: a new trusted virtual machine based platform
Currently, with the evolution of virtualization technology, cloud computing mode has become more and more popular. However, people still concern the issues of the runtime integrity...
Yuzhong Sun, Haifeng Fang, Ying Song, Lei Du, Kai ...
TRETS
2010
142views more  TRETS 2010»
13 years 6 months ago
Performance Analysis Framework for High-Level Language Applications in Reconfigurable Computing
s, and abstractions, typically enabling faster development times than with traditional Hardware ion Languages (HDLs). However, programming at a higher level of abstraction is typic...
John Curreri, Seth Koehler, Alan D. George, Brian ...