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Graphics Processor

by Paul Martinsen, Johannes Blaschke, Rainer Künnemeyer, Robert Jordan
"... Modern graphics cards, commonly used in desktop computers, have evolved beyond a simple interface between processor and display to incorporate sophisticated calculation engines that can be applied to general purpose computing. The Monte Carlo algorithm for modelling photon transport in turbid media ..."
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Modern graphics cards, commonly used in desktop computers, have evolved beyond a simple interface between processor and display to incorporate sophisticated calculation engines that can be applied to general purpose computing. The Monte Carlo algorithm for modelling photon transport in turbid media

Relational joins on graphics processors

by Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga Govindaraju, Qiong Luo, Pedro Sander , 2007
"... We present our novel design and implementation of relational join algorithms for new-generation graphics processing units (GPUs). The new features of such GPUs include support for writes to random memory locations, efficient inter-processor communication through fast shared memory, and a programming ..."
Abstract - Cited by 74 (12 self) - Add to MetaCart
We present our novel design and implementation of relational join algorithms for new-generation graphics processing units (GPUs). The new features of such GPUs include support for writes to random memory locations, efficient inter-processor communication through fast shared memory, and a

Programming graphics processors functionally

by Conal Elliott - In Haskell workshop , 2004
"... Graphics cards for personal computers have recently undergone a radical transformation from fixed-function graphics pipelines to multi-processor, programmable architectures. Multi-processor architectures are clearly advantageous for graphics for the simple reason that graphics computations are natur ..."
Abstract - Cited by 32 (0 self) - Add to MetaCart
Graphics cards for personal computers have recently undergone a radical transformation from fixed-function graphics pipelines to multi-processor, programmable architectures. Multi-processor architectures are clearly advantageous for graphics for the simple reason that graphics computations

Database Compression on Graphics Processors

by Wenbin Fang, Bingsheng He, Qiong Luo
"... Query co-processing on graphics processors (GPUs) has become an effective means to improve the performance of main memory databases. However, this co-processing requires the data transfer between the main memory and the GPU memory via a lowbandwidth PCI-E bus. The overhead of such data transfer beco ..."
Abstract - Cited by 24 (5 self) - Add to MetaCart
Query co-processing on graphics processors (GPUs) has become an effective means to improve the performance of main memory databases. However, this co-processing requires the data transfer between the main memory and the GPU memory via a lowbandwidth PCI-E bus. The overhead of such data transfer

On Dynamic Load Balancing on Graphics Processors

by Daniel Cederman, Philippas Tsigas
"... To get maximum performance on the many-core graphics processors it is important to have an even balance of the workload so that all processing units contribute equally to the task at hand. This can be hard to achieve when the cost of a task is not known beforehand and when new sub-tasks are created ..."
Abstract - Cited by 32 (4 self) - Add to MetaCart
To get maximum performance on the many-core graphics processors it is important to have an even balance of the workload so that all processing units contribute equally to the task at hand. This can be hard to achieve when the cost of a task is not known beforehand and when new sub-tasks are created

routing processing with graphic processors

by Shuai Mu, Yangdong Deng, Shuai Mu, Xinya Zhang, Nairen Zhang, Jiaxin Lu, Yangdong Steve Deng, Shu Zhang - In Proc. DATE , 2010
"... All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
Abstract - Cited by 8 (1 self) - Add to MetaCart
All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.

HexServer: an FFT-based protein docking server powered by graphics processors

by Gary Macindoe, Lazaros Mavridis, Vishwesh Venkatraman, Marie-dominique Devignes, David W. Ritchie - Nucleic Acids Res , 2010
"... powered by graphics processors ..."
Abstract - Cited by 20 (2 self) - Add to MetaCart
powered by graphics processors

Fast Computation of Database Operations using Graphics Processors

by Naga K. Govindaraju, Brandon Lloyd, Wei Wang, Ming Lin, Dinesh Manocha
"... We present new algorithms on commodity graphics processors to perform fast computation of several common database operations. Specifically, we consider operations such as conjunctive selections, aggregations, and semi-linear queries, which are essential computational components of typical database, ..."
Abstract - Cited by 117 (12 self) - Add to MetaCart
We present new algorithms on commodity graphics processors to perform fast computation of several common database operations. Specifically, we consider operations such as conjunctive selections, aggregations, and semi-linear queries, which are essential computational components of typical database

Mars: A MapReduce Framework on Graphics Processors

by Bingsheng He, Wenbin Fang, Naga K. Govindaraju, Qiong Luo, Tuyong Wang
"... We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by Google for the ease of development of web search applications on a large number of CPUs. Compared with commodity CPUs, GPUs have an order of mag ..."
Abstract - Cited by 134 (11 self) - Add to MetaCart
We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by Google for the ease of development of web search applications on a large number of CPUs. Compared with commodity CPUs, GPUs have an order

Scalable Clustering Using Graphics Processors

by Feng Cao, Anthony K. H. Tung, Aoying Zhou
"... Abstract. We present new algorithms for scalable clustering using graphics processors. Our basic approach is based on k-means, but it reorders the way of determining object labels, and exploits the high computational power and pipeline of graphics processing units (GPUs). The core operations in clus ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
Abstract. We present new algorithms for scalable clustering using graphics processors. Our basic approach is based on k-means, but it reorders the way of determining object labels, and exploits the high computational power and pipeline of graphics processing units (GPUs). The core operations
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