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128
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INTENSIVE
2009
IEEE
15 years 7 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer
121
Voted
EURODAC
1990
IEEE
92views VHDL» more  EURODAC 1990»
15 years 4 months ago
Accelerated test pattern generation by cone-oriented circuit partitioning
In this paper an efficient cone oriented circuit partitioning method is presented, which significantly speeds up automatic test pattern generation for combinational circuits. The ...
Torsten Grüning, Udo Mahlstedt, Wilfried Daeh...
ARC
2008
Springer
104views Hardware» more  ARC 2008»
15 years 2 months ago
PARO: Synthesis of Hardware Accelerators for Multi-Dimensional Dataflow-Intensive Applications
Abstract. In this paper, we present the PARO design tool for the automated hardware synthesis of massively parallel embedded architectures for given dataflow dominant applications....
Frank Hannig, Holger Ruckdeschel, Hritam Dutta, J&...
132
Voted
GRAPHICSINTERFACE
2003
15 years 1 months ago
Hardware-Accelerated Visual Hull Reconstruction and Rendering
We present a novel algorithm for simultaneous visual hull reconstruction and rendering by exploiting off-theshelf graphics hardware. The reconstruction is accomplished by projecti...
Ming Li, Marcus A. Magnor, Hans-Peter Seidel
111
Voted
FPGA
2012
ACM
285views FPGA» more  FPGA 2012»
13 years 8 months ago
Optimizing SDRAM bandwidth for custom FPGA loop accelerators
Memory bandwidth is critical to achieving high performance in many FPGA applications. The bandwidth of SDRAM memories is, however, highly dependent upon the order in which address...
Samuel Bayliss, George A. Constantinides