[PDF] Top 20 High Performance Data mining on Multicore Systems
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High Performance Data mining on Multicore Systems
... CURRENT RESUTS: Microsoft CCR supports MPI, dynamic threading and via DSS a Service model of computing; detailed performance.. measurements.[r] ... See full document
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Parallel Data Mining on Multicore Systems
... the performance declines as the primitive block matrix computation will not fit into ...core performance is seen for block sizes between 32 and 256; we used block size 32 in GTM results of ... See full document
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Parallel Data Mining on Multicore Systems
... pervasive data deluge whose size will probably increase even faster than CPU core count over the next few ...parallel data analysis and data mining applications with good multicore, ... See full document
8
Parallel Data Mining on Multicore and Cluster Systems
... § Initial performance results show linear speedup on up to 8 nodes dual core clusters. § Collaboration:[r] ... See full document
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Parallel Data Mining on Multicore and Cluster Systems
... Initial performance results show linear speedup on up to 8 nodes dual core clusters. Collaboration:[r] ... See full document
24
High Performance Data Mining on Multi core Systems
... continued data deluge Develop scalable parallel data mining algorithms with good multicore and cluster performance; understand software runtime and parallelization ... See full document
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High Performance Data Mining with Services on Multi core Systems
... § Detailed performance measurements with Speedups of 7.5 or above on 8-core systems for “large problems” using deterministic annealed (avoid local minima) algorithms for clustering, Gaus[r] ... See full document
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High Performance Data Mining with Services on Multi core Systems
... Overhead (latency) of Intel8b PC with 8 execution threads on MPI style Rendezvous Messaging for Shift and Exchange implemented either as two shifts or as custom CCR pattern. Stages (mill[r] ... See full document
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Parallel Data Mining on Multicore Clusters
... the performance declines as the primitive block matrix computation will not fit into ...core performance is seen for block sizes between 32 and 256; we used block size 32 in GTM results of ...point ... See full document
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Performance of Multicore Systems on Parallel Data Clustering with Deterministic Annealing
... good multicore performance on important ...of data mining applications run well on current multicore architectures with efficiencies on 8 cores of at least 95% for large realistic ... See full document
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High-performance Data Mining System
... This paper also described Memory-Based Reasoning (MBR) and an improved MBR we cre- ated for use as one of the mining engines of our system. Then, this paper described how we im- proved the speed and scalability of ... See full document
10
High Performance Multi Paradigm Messaging Run Time on Multicore Systems
... Note all measurements in this section involved 4-way parallelism and the bandwidth is summed over all four cores simultaneously copying message buffers. In this bandwidth investigation, we fix the number of stages and ... See full document
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Obesity Studies with Multicore Robust Data Mining
... Parallel Data Mining from Multicore to Cloudy Grids, Proceedings of HPC 2008 High Performance Computing and Grids Workshop, Cetraro Italy, July 3 ... See full document
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Data Sharing or Resource Contention: Toward Performance Transparency on Multicore Systems
... The performance monitor uses commonly avail- able hardware counter information to identify and sep- arate data sharing from DRAM memory ...the performance monitor’s behavior identification to relo- ... See full document
13
Improve Results with High- Performance Data Mining
... For more than 25 years, U.S.-based National Instruments has revolutionized the way engineers and scientists in industry, government, and academia approach measurement and automation. The company sells virtual ... See full document
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High Performance Multi Paradigm Messaging Runtime Integrating Grids and Multicore Systems
... problem) and between machines in clusters (the traditional parallel computing problem) or Grids. n The scalable parallelism (kernel) problem is typically only interesting on true[r] ... See full document
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High Performance Multi Paradigm Messaging Runtime Integrating Grids and Multicore Systems
... DSS sits on top of CCR and provides a lightweight, REST oriented application model that is particularly suited for creating coarse grain applications in the Web-style as compositions of services running in a distributed ... See full document
8
Parallel Data Mining from Multicore to Cloudy Grids
... of data mining tools that cover clustering, information retrieval and the mapping of high dimensional data to low dimensions for ...The data vary in dimension from low (2- 20), ... See full document
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Parallel Data Mining from Multicore to Cloudy Grids
... a multicore workstation, which has a 8GB of memory will be able to run SMACOF algorithm with 10000 data ...20000 data points. Shared memory parallelism increases performance but does not ... See full document
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CONSISTENT PERFORMANCE ASSESSMENT OF MULTICORE COMPUTER SYSTEMS
... 2008 Performance assessment, through High-Performance Linpack (HPL) benchmark, of the quad-core cluster with InfiniBand interconnect recently acquired at LIT-JINR Dubna is ...on multicore ... See full document
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