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» NVIDIA cuda software and gpu parallel computing architecture
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ASPLOS
2010
ACM
14 years 3 months ago
COMPASS: a programmable data prefetcher using idle GPU shaders
A traditional fixed-function graphics accelerator has evolved into a programmable general-purpose graphics processing unit over the last few years. These powerful computing cores...
Dong Hyuk Woo, Hsien-Hsin S. Lee
PPOPP
2012
ACM
12 years 4 months ago
PARRAY: a unifying array representation for heterogeneous parallelism
This paper introduces a programming interface called PARRAY (or Parallelizing ARRAYs) that supports system-level succinct programming for heterogeneous parallel systems like GPU c...
Yifeng Chen, Xiang Cui, Hong Mei
DAGM
2009
Springer
13 years 10 months ago
A Gradient Descent Approximation for Graph Cuts
Abstract. Graph cuts have become very popular in many areas of computer vision including segmentation, energy minimization, and 3D reconstruction. Their ability to find optimal res...
Alparslan Yildiz, Yusuf Sinan Akgul
ASPLOS
2010
ACM
14 years 1 months ago
An asymmetric distributed shared memory model for heterogeneous parallel systems
Heterogeneous computing combines general purpose CPUs with accelerators to efficiently execute both sequential control-intensive and data-parallel phases of applications. Existin...
Isaac Gelado, Javier Cabezas, Nacho Navarro, John ...
ERSA
2007
194views Hardware» more  ERSA 2007»
13 years 10 months ago
A Scalable and Reconfigurable Shared-Memory Graphics Cluster Architecture
Abstract: If the computational demands of an interactive graphics rendering application cannot be met by a single commodity Graphics Processing Unit (GPU), multiple graphics accele...
Ross Brennan, Michael Manzke, Keith O'Conor, John ...