[[MatsuLab. Lecture Note]]

*ハイパフォーマンスコンピューティング [#o80fd81e]
: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 白幡 (K.Shirahata)         |koichi-s あっと matsulab.is. |

**目次 [#md78a9e0]
#contents

**休講予定日 Lecture Cancelled [#b82cd1c1]
11/18, 12/2, 12/16

**発表スケジュール Schedule [#af59e00b]
|CENTER:|CENTER:|CENTER:|CENTER:|LEFT:|c
|回|日付|担当|発表資料|文献|
|第0回|10/7|>|>|&ref("2013_HPC_Curriculum_abst.docx");|
|第1回|10/21 |金刺|&ref("hpc2013_Kanezashi_131021_1.pdf");|&ref("Mizan.pdf");|
|第2回|10/28 |Pak|&ref("Virtual Machine in HPC.pptx");|&ref("Performance Overhead among Three Hypervisors- An Experimental Study Using Hadoop Benchmarks.pdf"); &br; &ref("Evaluation of virtual machine scalability on distributed multi-many-core processors for big data analytics.pdf");|
|第3回|11/6 (Wed.)  |高嵜|&ref("hpc2013-takasaki.pdf");|&ref("On Distributed File Tree Walk of Parallel File Systems.pdf");|
|第4回|11/11 |高嵜|||
||11/18 | **休講 Cancelled ** |||
|第4回|11/11 |高嵜|-|-|
||11/18 | **休講 Cancelled ** |-|-|
|第5回|11/25 |徐|&ref("Big Data Analytics.pdf");|&ref("Starfish A Selftuning system for big data analytics.pdf");|
|第6回|12/2 | **休講 Cancelled ** |||
|第7回|12/9  |徐|||
||12/16 | **休講 Cancelled ** |||
|第6回|12/2 | **休講 Cancelled ** |-|-|
|第7回|12/9  |徐|-|-|
||12/16 | **休講 Cancelled ** |-|-|
|第8回|12/23 (天皇誕生日 holiday) |小林|&ref("hpc2013_kobayashi_20131223.pdf");|&ref("Hystor.pdf");|
|第9回|1/6 |小林|||
|第10回|1/16 (Thu.) |谷津|||
|第11回|1/20 |Pak|||
|第12回|1/27 |高嵜|||
|第13回|2/3 |金刺|||
|第9回|1/6 |小林|-|-|
|第10回|1/16 (Thu.) |谷津|&ref("hpc2013_20140116_Yatsu.pdf");|&ref("Milieu Lightweight and Configurable Big Data Provenance for Science.pdf");|
|第11回|1/20 |Pak|&ref("Energy and HPC.pptx");|&ref("Energy consumption analysis and energy optimization techniques of HPC applications.pdf"); &br; &ref("Energy Efficient Fault Tolerance for High Performance Computing (HPC) in the Cloud.pdf");|
|第12回|1/27 |高嵜|&ref("hpc13_takasaki_20140127.pdf");|[[PDF>http://matsu-www.is.titech.ac.jp/lecture/lecture-wiki/index.php?plugin=attach&pcmd=open&file=DASH-%20a%20Recipe%20for%20a%20Flash-based%20Data%20Intensive%20%20Supercomputer.pdf&refer=hpc2013]]|
|第13回|2/3 |金刺|&ref("hpc2013_Kanezashi_140203_1.pdf");|&ref("Sailfish.pdf");|

** 禁止リスト Inhibited List [#k39c0281]
-"Mizan: A System for Dynamic Load Balancing in Large-scale Graph Processing"
-"Breaking the speed and scalability Barriers for Graph exploration on distributed-memory machines"
-"Parallel breadth-first search on distributed memory systems"
-"Evaluation of Virtual Machine Scalability on Distributed Multi/Many-core Processors for Big Data Analytics"
-"Cooperative VM migration for a virtualized HPC cluster with VMM-bypass I/O devices"
-"Performance Overhead among Three Hypervisors: An Experimental Study Using Hadoop Benchmarks"
-"Comparative Performance Analysis of a Big Data NORA Problem on a Variety of Architectures"
-"Mastiff: A MapReduce-based System for Time-Based Big Data Analytics"
-"On Distributed File Tree Walk of Parallel File Systems"
-"Starfish: A Selftuning System for Big Data Analytics"
-"IBM Streams Processing Language: Analyzing Big Data in motion"
-"Techniques for Graph Analytics on Big Data"
-"Application Data Prefetching on the IBM Blue Gene/Q Supercomputer"
-"Mapping Applications with Collectives over Sub-communicators on
Torus Networks"
-"Hystor: Making the Best Use of Solid State Drives in High
Performance Storage Systems"
-"Milieu: Lightweight and Configurable Big Data Provenance for Science"
-"Computational solutions to large-scale data management and analysis"
-"A Database-Hadoop Hybrid Approach to Scalable Machine Learning"
-"Energy consumption analysis and energy optimization techniques of HPC applications"
-"Impact of parallel programming models and CPUs clock frequency on energy consumption of HPC systems"
-"Energy Efficient Fault Tolerance for High Performance Computing (HPC) in the Cloud"
-"DASH : a Recipe for a Flash-based Data Intensive Supercomputer"
-"Disk-Cache and Parallelism Aware I/O Scheduling to Improve Storage System Performance"
-"On the role of NVRAM in data-intensive architectures: an evaluation"

**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/]]
-[[ISC>http://www.isc-events.com/]]
-[[IEEE Cluster Computing>http://www.clustercomp.org/]]
-[[IEEE/ACM Grid Computing>http://www.gridcomputing.org/]]
-[[IEEE/ACM CCGrid>http://www.buyya.com/ccgrid/]]
-[[IEEE Big Data>http://cci.drexel.edu/bigdata/bigdata2013/]]
-[[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]]
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