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166,651
Graphics Processor
"... 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
Programming graphics processors functionally
- 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 ..."
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Cited by 32 (0 self)
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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
Relational joins on graphics processors
, 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 ..."
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Cited by 69 (12 self)
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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
Database Compression on Graphics Processors
"... 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 ..."
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Cited by 23 (5 self)
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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
"... 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 ..."
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Cited by 31 (4 self)
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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
HexServer: an FFT-based protein docking server powered by graphics processors
- Nucleic Acids Res
, 2010
"... powered by graphics processors ..."
Fast computation of database operations using graphics processors
- Proc. of ACM SIGMOD
, 2004
"... We present new algorithms for performing fast computation of several common database operations on commodity graphics processors. Specifically, we consider operations such as conjunctive selections, aggregations, and semi-linear queries, which are essential computational components of typical databa ..."
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Cited by 113 (15 self)
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We present new algorithms for performing fast computation of several common database operations on commodity graphics processors. Specifically, we consider operations such as conjunctive selections, aggregations, and semi-linear queries, which are essential computational components of typical
Mars: A MapReduce Framework on Graphics Processors
"... 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 ..."
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Cited by 129 (11 self)
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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
A Practical Quicksort Algorithm for Graphics Processors
, 2008
"... In this paper we present GPU-Quicksort, an efficient Quicksort algorithm suitable for highly parallel multi-core graphics processors. Quicksort has previously been considered as an inefficient sorting solution for graphics processors, but we show that GPU-Quicksort often performs better than the fa ..."
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Cited by 21 (0 self)
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In this paper we present GPU-Quicksort, an efficient Quicksort algorithm suitable for highly parallel multi-core graphics processors. Quicksort has previously been considered as an inefficient sorting solution for graphics processors, but we show that GPU-Quicksort often performs better than
Scalable Clustering Using Graphics Processors
"... 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 ..."
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Cited by 4 (0 self)
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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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