grid2012 の変更点 - MatsuLab. Lecture Note

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[[MatsuLab. Lecture Note]]

*グリッドコンピューティング [#pb8f5e82]
:日時|月曜日 １０：４５～１２：１５（３，４限）
:場所|西８号館　８３２号室
:連絡|
|松岡教授 (Prof. S.Matsuoka) |　matsu あっと is.|
|TA 福田 (K.Fukuda)         |fukuda あっと matsulab.is. |

**目次 [#i221bfac]
#contents

**休講予定日 Lecture Cancelled [#s23e38ca]
11/12

**発表スケジュール Schedule [#ceb440f7]
|CENTER:|CENTER:|CENTER:|CENTER:|LEFT:|c
|回|日付|担当|発表資料|文献|
|第0回|10/15|>|>||
|第1回|10/22 |河村|&ref("grid12_kawamura.pptx"); |&ref("2011 - CudaDMA - Bauer, Cook, Khailany.pdf"); |
|第2回|10/29 |岩渕|&ref("Grid_Iwabuchi.pdf");|&ref("2012 - A GPU implementation of inclusion-based points-to analysis.pdf");|
|第3回|11/5  |小島|&ref("2012_grid_kojima.pdf");|&ref("2012 - gpuDCI Exploiting GPUs in Frequent Itemset Mining.pdf");|
||11/12 | **休講 Cancelled ** |||
||11/19 | **休講 Cancelled ** |||
|第4回|11/26 |徐|&ref("2012_grid_ xu.pdf");|&ref("2011 - Efficient Parallel Graph Exploration on Multi-Core CPU and GPU.pdf");|
|第5回|12/3 |**休講 Cancelled **|||
|第6回|12/10  |石原|&ref("grid12_ishihara.pdf");|&ref("2010 - Size Matters Space Time Tradeoffs to Improve GPGPU Applications Performance.pdf");|
|第7回|12/17 |Brown|||
|第8回|1/7 |**休講 Cancelled ***|||
|第8回|1/7 |**休講 Cancelled **|||
|第9回|1/17 |星野|||
|第10回|1/21 |TBD|||
|第11回|1/28 |TBD|||

** 禁止リスト Inhibited List [#pedcdd95]
- "CudaDMA- Optimizing GPU Memory Bandwidth via Warp Specialization" 
- "Automatic Resource Scheduling with Latency Hiding for Parallel Stencil Applications on GPGPU Clusters"
- "Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes"
- "Highly scalable graph search for the Graph500 benchmark"
- "Scalable Graph Exploration on Multicore Processors"
- "Mars: a MapReduce framework on graphics processors"
- "Accelerating CUDA graph algorithms at maximum warp"
- "A GPU implementation of inclusion-based points-to analysis"
- "Scalable GPU graph traversal"
- "gpuDCI: Exploiting GPUs in Frequent Itemset Mining"
- "A Domain-Specific Approach To Heterogeneous Parallelism"
- "Large-scale Deep Unsupervised Learning using Graphics Processors"
- "Ef&#64257;cient Parallel Graph Exploration on Multi-Core CPU and GPU"
- "Fast Community Detection Algorithm With GPUs and Multicore Architectures"
- "Computing Strongly Connected Components in Parallel on CUDA"
- "Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA"
- "Streaming Algorithms for Biological Sequence Alignment on GPUs"
- "A tile-based parallel Viterbi algorithm for biological sequence alignment on GPU with CUDA"
- "Size Matters: Space/Time Tradeoffs to Improve GPGPU ApplicationsPerformance"
- "Exact and complete short-read alignment to microbial genomes using Graphics Processing Unit programming"
- "A tile-based parallel Viterbi algorithm for biological sequence alignment on GPU with CUDA"
- "Designing a Unified Programming Model for Heterogeneous Machines"
- "A Scalable Framework for Heterogeneous GPU-Based Clusters"
- "FLAT: A GPU Programming Framework to Provide Embedded MPI"




**リンク Links [#j92bb2a3]
-[[ACM/IEEE Supercomputing>http://www.supercomp.org]]
-[[IEEE IPDPS>http://www.ipdps.org]]
-[[IEEE HPDC>http://www.hpdc.org/]]
-[[ACM International Conference on Supercomputing (ICS)>http://www.ics-conference.org/]]
-[[IEEE Cluster Computing>http://www.clustercomp.org/]]
-[[IEEE/ACM Grid Computing>http://www.gridcomputing.org/]]
-[[CCGrid>http://www.buyya.com/ccgrid/]]
-[[CiteSeer.IST>http://citeseer.ist.psu.edu]]
-[[Google Scholar>http://scholar.google.com]]
-[[Windows Live Academic>http://academic.live.com]]
-[[The ACM Degital Library>http://portal.acm.org/portal.cfm?coll=portal&dl=ACM&CFID=38583716&CFTOKEN=29210274]]