ACM High-Performance Parallel and Distributed Computing, HPDC 2014


Title/Authors Title Research Artifacts
[?] A research artifact is any by-product of a research project that is not directly included in the published research paper. In Computer Science research this is often source code and data sets, but it could also be media, documentation, inputs to proof assistants, shell-scripts to run experiments, etc.
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MRONLINE: MapReduce online performance tuning

Min Li, Liangzhao Zeng, Shicong Meng, Jian Tan, Li Zhang, Ali Raza Butt, Nicholas C. Fuller

MRONLINE: MapReduce online performance tuning

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Data filtering for scalable high-dimensional k-NN search on multicore systems

Xiaoxin Tang, Steven Mills, David M. Eyers, Kai-Cheung Leung, Zhiyi Huang, Minyi Guo

Data filtering for scalable high-dimensional k-NN search on multicore systems

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Next generation job management systems for extreme-scale ensemble computing

Ke Wang, Xiaobing Zhou, Hao Chen, Michael Lang, Ioan Raicu

Next generation job management systems for extreme-scale ensemble computing

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Scalable matrix inversion using MapReduce

Jingen Xiang, Huangdong Meng, Ashraf Aboulnaga

Scalable matrix inversion using MapReduce

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Domino: an incremental computing framework in cloud with eventual synchronization

Dong Dai, Yong Chen, Dries Kimpe, Robert B. Ross, Xuehai Zhou

Domino: an incremental computing framework in cloud with eventual synchronization

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Improving energy efficiency of embedded DRAM caches for high-end computing systems

Sparsh Mittal, Jeffrey S. Vetter, Dong Li

Improving energy efficiency of embedded DRAM caches for high-end computing systems

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Improving parallel I/O autotuning with performance modeling

Babak Behzad, Surendra Byna, Stefan M. Wild, Prabhat, Marc Snir

Improving parallel I/O autotuning with performance modeling

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Analysis of dynamic scheduling strategies for matrix multiplication on heterogeneous platforms

Olivier Beaumont, Loris Marchal

Analysis of dynamic scheduling strategies for matrix multiplication on heterogeneous platforms

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Design and evaluation of the gemtc framework for GPU-enabled many-task computing

Scott J. Krieder, Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Benjamin Grimmer, Ian T. Foster, Ioan Raicu

Design and evaluation of the gemtc framework for GPU-enabled many-task computing

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Fault tolerance for remote memory access programming models

Maciej Besta, Torsten Hoefler

Fault tolerance for remote memory access programming models

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CuSha: vertex-centric graph processing on GPUs

Farzad Khorasani, Keval Vora, Rajiv Gupta, Laxmi N. Bhuyan

CuSha: vertex-centric graph processing on GPUs

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Computation and communication efficient graph processing with distributed immutable view

Rong Chen, Xin Ding, Peng Wang, Haibo Chen, Binyu Zang, Haibing Guan

Computation and communication efficient graph processing with distributed immutable view

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OpenARC: open accelerator research compiler for directive-based, efficient heterogeneous computing

Seyong Lee, Jeffrey S. Vetter

OpenARC: open accelerator research compiler for directive-based, efficient heterogeneous computing

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Glasswing: accelerating mapreduce on multi-core and many-core clusters

Ismail El-Helw, Rutger F. H. Hofman, Henri E. Bal

Glasswing: accelerating mapreduce on multi-core and many-core clusters

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A methodology for evaluating the impact of data compression on climate simulation data

Allison H. Baker, Haiying Xu, John M. Dennis, Michael N. Levy, Doug Nychka, Sheri A. Mickelson, Jim Edwards, Mariana Vertenstein, Al Wegener

A methodology for evaluating the impact of data compression on climate simulation data

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When paxos meets erasure code: reduce network and storage cost in state machine replication

Shuai Mu, Kang Chen, Yongwei Wu, Weimin Zheng

When paxos meets erasure code: reduce network and storage cost in state machine replication

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Seraph: an efficient, low-cost system for concurrent graph processing

Jilong Xue, Zhi Yang, Zhi Qu, Shian Hou, Yafei Dai

Seraph: an efficient, low-cost system for concurrent graph processing

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Squirrel: scatter hoarding VM image contents on IaaS compute nodes

Kaveh Razavi, Ana Ion, Thilo Kielmann

Squirrel: scatter hoarding VM image contents on IaaS compute nodes

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Exploiting redundancy for cost-effective, time-constrained execution of HPC applications on amazon EC2

Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz

Exploiting redundancy for cost-effective, time-constrained execution of HPC applications on amazon EC2

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Communication-driven scheduling for virtual clusters in cloud

Haibao Chen, Song Wu, Sheng Di, Bing Bing Zhou, Zhenjiang Xie, Hai Jin, Xuanhua Shi

Communication-driven scheduling for virtual clusters in cloud

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Snapify: capturing snapshots of offload applications on xeon phi manycore processors

Arash Rezaei, Giuseppe Coviello, Cheng-Hong Li, Srimat T. Chakradhar, Frank Mueller

Snapify: capturing snapshots of offload applications on xeon phi manycore processors

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FT-ScaLAPACK: correcting soft errors on-line for ScaLAPACK cholesky, QR, and LU factorization routines

Panruo Wu, Zizhong Chen

FT-ScaLAPACK: correcting soft errors on-line for ScaLAPACK cholesky, QR, and LU factorization routines

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SLAM: scalable locality-aware middleware for I/O in scientific analysis and visualization

Jiangling Yin, Jun Wang, Wu-chun Feng, Xuhong Zhang, Junyao Zhang

SLAM: scalable locality-aware middleware for I/O in scientific analysis and visualization

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Bobolang: a language for parallel streaming applications

Zbynek Falt, David Bednárek, Martin Krulis, Jakub Yaghob, Filip Zavoral

Bobolang: a language for parallel streaming applications

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CMCP: a novel page replacement policy for system level hierarchical memory management on many-cores

Balazs Gerofi, Akio Shimada, Atsushi Hori, Masamichi Takagi, Yutaka Ishikawa

CMCP: a novel page replacement policy for system level hierarchical memory management on many-cores

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Transparent checkpoint-restart over infiniband

Jiajun Cao, Gregory Kerr, Kapil Arya, Gene Cooperman

Transparent checkpoint-restart over infiniband

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MIC-Check: a distributed check pointing framework for the intel many integrated cores architecture

Raghunath Rajachandrasekar, Sreeram Potluri, Akshay Venkatesh, Khaled Hamidouche, Md. Wasi-ur-Rahman, Dhabaleswar K. Panda

MIC-Check: a distributed check pointing framework for the intel many integrated cores architecture

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SOR-HDFS: a SEDA-based approach to maximize overlapping in RDMA-enhanced HDFS

Nusrat S. Islam, Xiaoyi Lu, Md. Wasi-ur-Rahman, Dhabaleswar K. Panda

SOR-HDFS: a SEDA-based approach to maximize overlapping in RDMA-enhanced HDFS

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TOP-PIM: throughput-oriented programmable processing in memory

Dong Ping Zhang, Nuwan Jayasena, Alexander Lyashevsky, Joseph L. Greathouse, Lifan Xu, Michael Ignatowski

TOP-PIM: throughput-oriented programmable processing in memory

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Efficient task placement and routing of nearest neighbor exchanges in dragonfly networks

Bogdan Prisacari, Germán Rodríguez, Philip Heidelberger, Dong Chen, Cyriel Minkenberg, Torsten Hoefler

Efficient task placement and routing of nearest neighbor exchanges in dragonfly networks

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CBL: exploiting community based locality for efficient content search in online social networks

Hanhua Chen, Fan Zhang, Hai Jin

CBL: exploiting community based locality for efficient content search in online social networks

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ConCORD: easily exploiting memory content redundancy through the content-aware service command

Lei Xia, Kyle C. Hale, Peter A. Dinda

ConCORD: easily exploiting memory content redundancy through the content-aware service command

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A scalable distributed skip list for range queries

Sarwar Alam, Humaira Kamal, Alan Wagner

A scalable distributed skip list for range queries

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Supporting correlation analysis on scientific datasets in parallel and distributed settings

Yu Su, Gagan Agrawal, Jonathan Woodring, Ayan Biswas, Han-Wei Shen

Supporting correlation analysis on scientific datasets in parallel and distributed settings

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