发布求助
文献互助 智能选刊 最新文献

2012 SC Companion: High Performance Computing, Networking Storage and Analysis最新文献

筛选
英文 中文
Breadth First Search on APEnet+ 广度优先搜索APEnet+
2012 SC Companion: High Performance Computing, Networking Storage and Analysis Pub Date : 2012-11-10 DOI: 10.1109/SC.Companion.2012.41
M. Bernaschi, M. Bisson, Enrico Mastrostefano, D. Rossetti
{"title":"Breadth First Search on APEnet+","authors":"M. Bernaschi, M. Bisson, Enrico Mastrostefano, D. Rossetti","doi":"10.1109/SC.Companion.2012.41","DOIUrl":"https://doi.org/10.1109/SC.Companion.2012.41","url":null,"abstract":"We present preliminary results of a multi-GPU code for exploring large graphs (hundreds of millions vertices and billions of edges) by using the Breadth First Search algorithm. The GPU hosts are connected by APEnet+, a custom interconnection network that has full support for NVIDIA GPUDirect peer-topeer communication, i.e. the technology allowing a third party device to directly access the GPU memory over the PCI express bus.","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":"11 1","pages":"248-253"},"PeriodicalIF":0.0,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73717034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Optimus: A Parallel Optimization Framework with Topology Aware PSO and Applications 一个具有拓扑感知PSO的并行优化框架及其应用
2012 SC Companion: High Performance Computing, Networking Storage and Analysis Pub Date : 2012-11-10 DOI: 10.1109/SC.Companion.2012.303
S. Sreepathi
{"title":"Optimus: A Parallel Optimization Framework with Topology Aware PSO and Applications","authors":"S. Sreepathi","doi":"10.1109/SC.Companion.2012.303","DOIUrl":"https://doi.org/10.1109/SC.Companion.2012.303","url":null,"abstract":"This research presents a parallel metaheuristic optimization framework, Optimus (Optimization Methods for Universal Simulators) for integration of a desired population-based search method with a target scientific application. Optimus includes a parallel middleware component, PRIME (Parallel Reconfigurable Iterative Middleware Engine) for scalable deployment on emergent supercomputing architectures. Additionally, we designed TAPSO (Topology Aware Particle Swarm Optimization) for network based optimization problems and applied it to achieve better convergence for water distribution system (WDS) applications. The framework supports concurrent optimization instances, for instance multiple swarms in the case of PSO. PRIME provides a lightweight communication layer to facilitate periodic inter-optimizer data exchanges. We performed scalability analysis of Optimus on Cray XK6(Jaguar) at Oak Ridge Leadership Computing Facility for the leak detection problem in WDS. For a weak scaling scenario, we achieved 84.82% of baseline at 200,000 cores relative to performance at 1000 cores and 72.84% relative to one core scenario.","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":"6 1","pages":"1524-1525"},"PeriodicalIF":0.0,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75051942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Poster: Evaluation Topology Mapping via Graph Partitioning 海报:通过图分区评估拓扑映射
2012 SC Companion: High Performance Computing, Networking Storage and Analysis Pub Date : 2012-11-10 DOI: 10.1109/SC.Companion.2012.197
Anshu Arya, T. Gamblin, B. Supinski, L. Kalé
{"title":"Poster: Evaluation Topology Mapping via Graph Partitioning","authors":"Anshu Arya, T. Gamblin, B. Supinski, L. Kalé","doi":"10.1109/SC.Companion.2012.197","DOIUrl":"https://doi.org/10.1109/SC.Companion.2012.197","url":null,"abstract":"Intelligently mapping applications to machine network topologies has been shown to improve performance, but considerable developer effort is required to find good mappings. Techniques from graph partitioning have the potential to automate topology mapping and relieve the developer burden. Graph partitioning is already used for load balancing parallel applications, but can be applied to topology mapping as well. We show performance gains by using a topology-targeting graph partitioner to map sparse matrix-vector and volumetric 3-D FFT kernels onto a 3-D torus network.","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":"35 1","pages":"1372-1372"},"PeriodicalIF":0.0,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75088626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Poster: Planewave-Based First-Principles MD Calculation on 80,000-node K-Computer 海报:基于planewave的8万节点k型计算机第一性原理MD计算
2012 SC Companion: High Performance Computing, Networking Storage and Analysis Pub Date : 2012-11-10 DOI: 10.1109/SC.Companion.2012.281
A. Kuroda, K. Minami, T. Yamasaki, J. Nara, J. Koga, T. Uda, T. Ohno
{"title":"Poster: Planewave-Based First-Principles MD Calculation on 80,000-node K-Computer","authors":"A. Kuroda, K. Minami, T. Yamasaki, J. Nara, J. Koga, T. Uda, T. Ohno","doi":"10.1109/SC.Companion.2012.281","DOIUrl":"https://doi.org/10.1109/SC.Companion.2012.281","url":null,"abstract":"We show the efficiency of a first-principles electronic structure calculation code, PHASE on the massive-parallel super computer, K, which has 80,000 nodes. This code is based on plane-wave basis set, thus FFT routines are included. We succeeded in parallelization of FFT routines needed in our code by localizing each FFT calculation in small number of nodes, resulting in decreasing communication time required for FFT calculation. We also introduce multi-axis parallelization for bands and plane waves and then PHASE shows very high parallel efficiency. By using this code, we have investigated the structural stability of screw dislocations in silicon carbide, which has attracted much attention due to the semiconductor industry importance.","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":"616 1","pages":"1491-1492"},"PeriodicalIF":0.0,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77650863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quality-Aware Data Management for Large Scale Scientific Applications 面向大规模科学应用的数据质量管理
2012 SC Companion: High Performance Computing, Networking Storage and Analysis Pub Date : 2012-11-10 DOI: 10.1109/SC.Companion.2012.114
Hongbo Zou, F. Zheng, M. Wolf, G. Eisenhauer, K. Schwan, H. Abbasi, Qing Liu, N. Podhorszki, S. Klasky
{"title":"Quality-Aware Data Management for Large Scale Scientific Applications","authors":"Hongbo Zou, F. Zheng, M. Wolf, G. Eisenhauer, K. Schwan, H. Abbasi, Qing Liu, N. Podhorszki, S. Klasky","doi":"10.1109/SC.Companion.2012.114","DOIUrl":"https://doi.org/10.1109/SC.Companion.2012.114","url":null,"abstract":"Increasingly larger scale simulations are generating an unprecedented amount of output data, causing researchers to explore new `data staging' methods that buffer, use, and/or reduce such data online rather than simply pushing it to disk. Leveraging the capabilities of data staging, this study explores the potential for data reduction via online data compression, first using general compression techniques and then proposing use-specific methods that permit users to define simple data queries that cause only the data identified by those queries to be emitted. Using online methods for code generation and deployment, with such dynamic data queries, end users can precisely identify the quality of information (QoI) of their output data, by explicitly determining what data may be lost vs. retained, in contrast to general-purpose lossy compression methods that do not provide such levels of control. The paper also describes the key elements of a quality-aware data management system (QADMS) for high-end machines enabled by this approach. Initial experimental results demonstrate that QADMS can effectively reduce data movement cost and improve the QoS while meeting the QoI constraint stated by users.","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":"27 1","pages":"816-820"},"PeriodicalIF":0.0,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81897312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Evaluating Workflow Tools with SDAG 用SDAG评估工作流工具
2012 SC Companion: High Performance Computing, Networking Storage and Analysis Pub Date : 2012-11-10 DOI: 10.1109/SC.Companion.2012.20
Muhammad Ali Amer, Robert Lucas
{"title":"Evaluating Workflow Tools with SDAG","authors":"Muhammad Ali Amer, Robert Lucas","doi":"10.1109/SC.Companion.2012.20","DOIUrl":"https://doi.org/10.1109/SC.Companion.2012.20","url":null,"abstract":"Workflow management systems (WMS) are typically comprised of or make use of multiple independent software components. The design and development of those components is typically drawn from functional requirements of scientific applications that utilize the corresponding WMS. Consequently, the WMS design reflects those core functional requirements in applications that it supports in the future. Whereas most design criteria are engineered to be as generic as possible, some design trade-offs may prove sub-optimal for certain new workflow applications. We argue that WMS design tradeoffs that emerge from a limited set of real-world applications can be minimized by the use of larger, more varied synthetic application datasets. We present SDAG, a tool for generating synthetic well formed workflows (WFWs) that span a varied space of synthetic WFWs around any reference workflow. These synthetic WFWs enable developers to test and evaluate WMS or their constituent software components on a broad range of workflows and enable more generic design criteria for WMS.","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":"19 1","pages":"54-63"},"PeriodicalIF":0.0,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86006048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
The Sequoia Integration Study 红杉整合研究
2012 SC Companion: High Performance Computing, Networking Storage and Analysis Pub Date : 2012-11-10 DOI: 10.1109/SC.Companion.2012.359
K. Cupps
{"title":"The Sequoia Integration Study","authors":"K. Cupps","doi":"10.1109/SC.Companion.2012.359","DOIUrl":"https://doi.org/10.1109/SC.Companion.2012.359","url":null,"abstract":"","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":"1 1","pages":"2281-2302"},"PeriodicalIF":0.0,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83592312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The K computer - Toward its productive applications to our life 计算机-走向它在我们生活中的生产性应用
2012 SC Companion: High Performance Computing, Networking Storage and Analysis Pub Date : 2012-11-10 DOI: 10.1109/SC.Companion.2012.344
M. Yokokawa
{"title":"The K computer - Toward its productive applications to our life","authors":"M. Yokokawa","doi":"10.1109/SC.Companion.2012.344","DOIUrl":"https://doi.org/10.1109/SC.Companion.2012.344","url":null,"abstract":"This article consists of a collection of slides from the author's conference presentation. The author concludes that HPC technology is essential for sustainable human life in the future and we have to promote HPC activities more and more. By K's powerful and stable computing capability, we expect useful results in science and engineering and break-through in research and development. We should pursue more realistic simulations by the future system. Japan will continue to contribute to HPC community.","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":"28 1","pages":"1673-1701"},"PeriodicalIF":0.0,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86042863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
HOG: Distributed Hadoop MapReduce on the Grid HOG:网格上的分布式Hadoop MapReduce
2012 SC Companion: High Performance Computing, Networking Storage and Analysis Pub Date : 2012-11-10 DOI: 10.1109/SC.Companion.2012.154
Chen He, D. Weitzel, D. Swanson, Ying Lu
{"title":"HOG: Distributed Hadoop MapReduce on the Grid","authors":"Chen He, D. Weitzel, D. Swanson, Ying Lu","doi":"10.1109/SC.Companion.2012.154","DOIUrl":"https://doi.org/10.1109/SC.Companion.2012.154","url":null,"abstract":"MapReduce is a powerful data processing platform for commercial and academic applications. In this paper, we build a novel Hadoop MapReduce framework executed on the Open Science Grid which spans multiple institutions across the United States - Hadoop On the Grid (HOG). It is different from previous MapReduce platforms that run on dedicated environments like clusters or clouds. HOG provides a free, elastic, and dynamic MapReduce environment on the opportunistic resources of the grid. In HOG, we improve Hadoop's fault tolerance for wide area data analysis by mapping data centers across the U.S. to virtual racks and creating multi-institution failure domains. Our modifications to the Hadoop framework are transparent to existing Hadoop MapReduce applications. In the evaluation, we successfully extend HOG to 1100 nodes on the grid. Additionally, we evaluate HOG with a simulated Facebook Hadoop MapReduce workload. We conclude that HOG's rapid scalability can provide comparable performance to a dedicated Hadoop cluster.","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":"33 1","pages":"1276-1283"},"PeriodicalIF":0.0,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84028458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 37
Tight Coupling of R and Distributed Linear Algebra for High-Level Programming with Big Data 大数据高级编程中R与分布式线性代数的紧密耦合
2012 SC Companion: High Performance Computing, Networking Storage and Analysis Pub Date : 2012-11-10 DOI: 10.1109/SC.Companion.2012.113
Drew Schmidt, G. Ostrouchov, Wei-Chen Chen, Pragneshkumar B. Patel
{"title":"Tight Coupling of R and Distributed Linear Algebra for High-Level Programming with Big Data","authors":"Drew Schmidt, G. Ostrouchov, Wei-Chen Chen, Pragneshkumar B. Patel","doi":"10.1109/SC.Companion.2012.113","DOIUrl":"https://doi.org/10.1109/SC.Companion.2012.113","url":null,"abstract":"We present a new distributed programming extension of the R programming language. By tightly coupling R to the well-known ScaLAPACK and MPI libraries, we are able to achieve highly scalable implementations of common statistical methods, allowing the user to analyze bigger datasets with R than ever before. Early benchmarks show great optimism for the project and its future.","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":"14 1","pages":"811-815"},"PeriodicalIF":0.0,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77025442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信