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DAMON
2009
Springer
14 years 1 months ago
Frequent itemset mining on graphics processors
We present two efficient Apriori implementations of Frequent Itemset Mining (FIM) that utilize new-generation graphics processing units (GPUs). Our implementations take advantage ...
Wenbin Fang, Mian Lu, Xiangye Xiao, Bingsheng He, ...
CORR
2011
Springer
211views Education» more  CORR 2011»
12 years 10 months ago
Programming Massively Parallel Architectures using MARTE: a Case Study
—Nowadays, several industrial applications are being ported to parallel architectures. These applications take advantage of the potential parallelism provided by multiple core pr...
Antonio Wendell De Oliveira Rodrigues, Fréd...
INTENSIVE
2009
IEEE
14 years 1 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
DAMON
2007
Springer
14 years 1 months ago
In-memory grid files on graphics processors
Recently, graphics processing units, or GPUs, have become a viable alternative as commodity, parallel hardware for generalpurpose computing, due to their massive data-parallelism,...
Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga K. ...
ICPP
2009
IEEE
14 years 1 months ago
Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function
We are currently faced with the situation where applications have increasing computational demands and there is a wide selection of parallel processor systems. In this paper we fo...
Frederico Pratas, Pedro Trancoso, Alexandros Stama...