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142
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SAMOS
2010
Springer
15 years 1 months ago
Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators
Abstract—Geometric Algebra (GA), a generalization of quaternions, is a very powerful form for intuitively expressing and manipulating complex geometric relationships common to en...
Jens Huthmann, Peter Muller, Florian Stock, Dietma...
141
Voted
PPPJ
2009
ACM
15 years 9 months ago
Automatic parallelization for graphics processing units
Accelerated graphics cards, or Graphics Processing Units (GPUs), have become ubiquitous in recent years. On the right kinds of problems, GPUs greatly surpass CPUs in terms of raw ...
Alan Leung, Ondrej Lhoták, Ghulam Lashari
111
Voted
FPGA
2010
ACM
294views FPGA» more  FPGA 2010»
15 years 8 months ago
Axel: a heterogeneous cluster with FPGAs and GPUs
This paper describes a heterogeneous computer cluster called Axel. Axel contains a collection of nodes; each node can include multiple types of accelerators such as FPGAs (Field P...
Kuen Hung Tsoi, Wayne Luk
114
Voted
PPOPP
2010
ACM
16 years 1 days ago
Model-driven autotuning of sparse matrix-vector multiply on GPUs
We present a performance model-driven framework for automated performance tuning (autotuning) of sparse matrix-vector multiply (SpMV) on systems accelerated by graphics processing...
Jee W. Choi, Amik Singh, Richard W. Vuduc
164
Voted
CSIE
2009
IEEE
15 years 7 months ago
K-Means on Commodity GPUs with CUDA
K-means algorithm is one of the most famous unsupervised clustering algorithms. Many theoretical improvements for the performance of original algorithms have been put forward, whi...
Hong-tao Bai, Li-li He, Dan-tong Ouyang, Zhan-shan...