ACM/IEEE Intl. Conf. for High Perf. Computing, Networking, Storage and Analysis, SC 2015


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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Local recovery and failure masking for stencil-based applications at extreme scales

Marc Gamell, Keita Teranishi, Michael A. Heroux, Jackson Mayo, Hemanth Kolla, Jacqueline Chen, Manish Parashar

Local recovery and failure masking for stencil-based applications at extreme scales

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Fault tolerant MapReduce-MPI for HPC clusters

Yanfei Guo, Wesley Bland, Pavan Balaji, Xiaobo Zhou

Fault tolerant MapReduce-MPI for HPC clusters

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GraphReduce: processing large-scale graphs on accelerator-based systems

Dipanjan Sengupta, Shuaiwen Leon Song, Kapil Agarwal, Karsten Schwan

GraphReduce: processing large-scale graphs on accelerator-based systems

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An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle

Johann Rudi, A. Cristiano I. Malossi, Tobin Isaac, Georg Stadler, Michael Gurnis, Peter W. J. Staar, Yves Ineichen, Costas Bekas, Alessandro Curioni, Omar Ghattas

An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle

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ScaAnalyzer: a tool to identify memory scalability bottlenecks in parallel programs

Xu Liu, Bo Wu

ScaAnalyzer: a tool to identify memory scalability bottlenecks in parallel programs

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Frugal ECC: efficient and versatile memory error protection through fine-grained compression

Jungrae Kim, Michael Sullivan, Seong-Lyong Gong, Mattan Erez

Frugal ECC: efficient and versatile memory error protection through fine-grained compression

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The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution

Diego Rossinelli, Yu-Hang Tang, Kirill Lykov, Dmitry Alexeev, Massimo Bernaschi, Panagiotis E. Hadjidoukas, Mauro Bisson, Wayne Joubert, Christian Conti, George E. Karniadakis, Massimiliano Fatica, Igor Pivkin, Petros Koumoutsakos

The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution

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Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing

Yuichi Inadomi, Tapasya Patki, Koji Inoue, Mutsumi Aoyagi, Barry Rountree, Martin Schulz, David K. Lowenthal, Yasutaka Wada, Keiichiro Fukazawa, Masatsugu Ueda, Masaaki Kondo, Ikuo Miyoshi

Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing

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Randomized algorithms to update partial singular value decomposition on a hybrid CPU/GPU cluster

Ichitaro Yamazaki, Jakub Kurzak, Piotr Luszczek, Jack J. Dongarra

Randomized algorithms to update partial singular value decomposition on a hybrid CPU/GPU cluster

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CIVL: the concurrency intermediate verification language

Stephen F. Siegel, Manchun Zheng, Ziqing Luo, Timothy K. Zirkel, Andre V. Marianiello, John G. Edenhofner, Matthew B. Dwyer, Michael S. Rogers

CIVL: the concurrency intermediate verification language

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Regent: a high-productivity programming language for HPC with logical regions

Elliott Slaughter, Wonchan Lee, Sean Treichler, Michael Bauer, Alex Aiken

Regent: a high-productivity programming language for HPC with logical regions

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The Spack package manager: bringing order to HPC software chaos

Todd Gamblin, Matthew P. LeGendre, Michael R. Collette, Gregory L. Lee, Adam Moody, Bronis R. de Supinski, Scott Futral

The Spack package manager: bringing order to HPC software chaos

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Multi-objective job placement in clusters

Sergey Blagodurov, Alexandra Fedorova, Evgeny Vinnik, Tyler Dwyer, Fabien Hermenier

Multi-objective job placement in clusters

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Parallel implementation and performance optimization of the configuration-interaction method

Hongzhang Shan, Samuel Williams, Calvin W. Johnson, Kenneth S. McElvain, W. Erich Ormand

Parallel implementation and performance optimization of the configuration-interaction method

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Dynamic power sharing for higher job throughput

Daniel A. Ellsworth, Allen D. Malony, Barry Rountree, Martin Schulz

Dynamic power sharing for higher job throughput

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Scaling iterative graph computations with GraphMap

Kisung Lee, Ling Liu, Karsten Schwan, Calton Pu, Qi Zhang, Yang Zhou, Emre Yigitoglu, Pingpeng Yuan

Scaling iterative graph computations with GraphMap

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A parallel connectivity algorithm for de Bruijn graphs in metagenomic applications

Patrick Flick, Chirag Jain, Tony Pan, Srinivas Aluru

A parallel connectivity algorithm for de Bruijn graphs in metagenomic applications

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Reliability lessons learned from GPU experience with the Titan supercomputer at Oak Ridge leadership computing facility

Devesh Tiwari, Saurabh Gupta, George Gallarno, Jim Rogers, Don Maxwell

Reliability lessons learned from GPU experience with the Titan supercomputer at Oak Ridge leadership computing facility

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High-performance algebraic multigrid solver optimized for multi-core based distributed parallel systems

Jongsoo Park, Mikhail Smelyanskiy, Ulrike Meier Yang, Dheevatsa Mudigere, Pradeep Dubey

High-performance algebraic multigrid solver optimized for multi-core based distributed parallel systems

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Relative debugging for a highly parallel hybrid computer system

Luiz De Rose, Andrew Gontarek, Aaron Vose, Robert Moench, David Abramson, Minh Ngoc Dinh, Chao Jin

Relative debugging for a highly parallel hybrid computer system

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Enterprise: breadth-first graph traversal on GPUs

Hang Liu, H. Howie Huang

Enterprise: breadth-first graph traversal on GPUs

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Smart: a MapReduce-like framework for in-situ scientific analytics

Yi Wang, Gagan Agrawal, Tekin Bicer, Wei Jiang

Smart: a MapReduce-like framework for in-situ scientific analytics

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Energy-aware data transfer algorithms

Ismail Alan, Engin Arslan, Tevfik Kosar

Energy-aware data transfer algorithms

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Improving the scalability of the ocean barotropic solver in the community earth system model

Yong Hu, Xiaomeng Huang, Allison H. Baker, Yu-heng Tseng, Frank O. Bryan, John M. Dennis, Guangwen Yang

Improving the scalability of the ocean barotropic solver in the community earth system model

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HydraDB: a resilient RDMA-driven key-value middleware for in-memory cluster computing

Yandong Wang, Li Zhang, Jian Tan, Min Li, Yuqing Gao, Xavier Guerin, Xiaoqiao Meng, Shicong Meng

HydraDB: a resilient RDMA-driven key-value middleware for in-memory cluster computing

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GraphBIG: understanding graph computing in the context of industrial solutions

Lifeng Nai, Yinglong Xia, Ilie Gabriel Tanase, Hyesoon Kim, Ching-Yung Lin

GraphBIG: understanding graph computing in the context of industrial solutions

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Automatic sharing classification and timely push for cache-coherent systems

Malek Musleh, Vijay S. Pai

Automatic sharing classification and timely push for cache-coherent systems

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HipMer: an extreme-scale de novo genome assembler

Evangelos Georganas, Aydin Buluç, Jarrod Chapman, Steven A. Hofmeyr, Chaitanya Aluru, Rob Egan, Leonid Oliker, Daniel Rokhsar, Katherine A. Yelick

HipMer: an extreme-scale de novo genome assembler

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Parallel distributed memory construction of suffix and longest common prefix arrays

Patrick Flick, Srinivas Aluru

Parallel distributed memory construction of suffix and longest common prefix arrays

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Node variability in large-scale power measurements: perspectives from the Green500, Top500 and EEHPCWG

Thomas Scogland, Jonathan Azose, David Rohr, Suzanne Rivoire, Natalie J. Bates, Daniel Hackenberg

Node variability in large-scale power measurements: perspectives from the Green500, Top500 and EEHPCWG

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Profile-based power shifting in interconnection networks with on/off links

Shinobu Miwa, Hiroshi Nakamura

Profile-based power shifting in interconnection networks with on/off links

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Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach

Christopher Sewell, Katrin Heitmann, Hal Finkel, George Zagaris, Suzanne Parete-Koon, Patricia K. Fasel, Adrian Pope, Nicholas Frontiere, Li-Ta Lo, O. E. Bronson Messer, Salman Habib, James P. Ahrens

Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach

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Pushing back the limit of ab-initio quantum transport simulations on hybrid supercomputers

Mauro Calderara, Sascha Brück, Andreas Pedersen, Mohammad H. Bani-Hashemian, Joost VandeVondele, Mathieu Luisier

Pushing back the limit of ab-initio quantum transport simulations on hybrid supercomputers

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An input-adaptive and in-place approach to dense tensor-times-matrix multiply

Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc

An input-adaptive and in-place approach to dense tensor-times-matrix multiply

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Scalable sparse tensor decompositions in distributed memory systems

Oguz Kaya, Bora Uçar

Scalable sparse tensor decompositions in distributed memory systems

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CilkSpec: optimistic concurrency for Cilk

Shaizeen Aga, Sriram Krishnamoorthy, Satish Narayanasamy

CilkSpec: optimistic concurrency for Cilk

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Memory access patterns: the missing piece of the multi-GPU puzzle

Tal Ben-Nun, Ely Levy, Amnon Barak, Eri Rubin

Memory access patterns: the missing piece of the multi-GPU puzzle

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Optimal scheduling of in-situ analysis for large-scale scientific simulations

Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael E. Papka

Optimal scheduling of in-situ analysis for large-scale scientific simulations

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Particle tracking in open simulation laboratories

Kalin Kanov, Randal C. Burns

Particle tracking in open simulation laboratories

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A kernel-independent FMM in general dimensions

William B. March, Bo Xiao, Sameer Tharakan, Chenhan D. Yu, George Biros

A kernel-independent FMM in general dimensions

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A work-efficient algorithm for parallel unordered depth-first search

Umut A. Acar, Arthur Charguéraud, Mike Rainey

A work-efficient algorithm for parallel unordered depth-first search

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Recovering logical structure from Charm++ event traces

Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer-Timo Bremer

Recovering logical structure from Charm++ event traces

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Monetary cost optimizations for MPI-based HPC applications on Amazon clouds: checkpoints and replicated execution

Yifan Gong, Bingsheng He, Amelie Chi Zhou

Monetary cost optimizations for MPI-based HPC applications on Amazon clouds: checkpoints and replicated execution

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Scientific benchmarking of parallel computing systems: twelve ways to tell the masses when reporting performance results

Torsten Hoefler, Roberto Belli

Scientific benchmarking of parallel computing systems: twelve ways to tell the masses when reporting performance results

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Performance optimization for the k-nearest neighbors kernel on x86 architectures

Chenhan D. Yu, Jianyu Huang, Woody Austin, Bo Xiao, George Biros

Performance optimization for the k-nearest neighbors kernel on x86 architectures

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Exploring network optimizations for large-scale graph analytics

Xinyu Que, Fabio Checconi, Fabrizio Petrini, Xing Liu, Daniele Buono

Exploring network optimizations for large-scale graph analytics

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A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems

Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao

A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems

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ELF: maximizing memory-level parallelism for GPUs with coordinated warp and fetch scheduling

Jason Jong Kyu Park, Yongjun Park, Scott A. Mahlke

ELF: maximizing memory-level parallelism for GPUs with coordinated warp and fetch scheduling

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Improving concurrency and asynchrony in multithreaded MPI applications using software offloading

Karthikeyan Vaidyanathan, Dhiraj D. Kalamkar, Kiran Pamnany, Jeff R. Hammond, Pavan Balaji, Dipankar Das, Jongsoo Park, Bálint Joó

Improving concurrency and asynchrony in multithreaded MPI applications using software offloading

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Massively parallel models of the human circulatory system

Amanda Randles, Erik W. Draeger, Tomas Oppelstrup, Liam Krauss, John A. Gunnels

Massively parallel models of the human circulatory system

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VOCL-FT: introducing techniques for efficient soft error coprocessor recovery

Antonio J. Peña, Wesley Bland, Pavan Balaji

VOCL-FT: introducing techniques for efficient soft error coprocessor recovery

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Improving backfilling by using machine learning to predict running times

Éric Gaussier, David Glesser, Valentin Reis, Denis Trystram

Improving backfilling by using machine learning to predict running times

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Adaptive and transparent cache bypassing for GPUs

Ang Li, Gert-Jan van den Braak, Akash Kumar, Henk Corporaal

Adaptive and transparent cache bypassing for GPUs

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Runtime-driven shared last-level cache management for task-parallel programs

Abhisek Pan, Vijay S. Pai

Runtime-driven shared last-level cache management for task-parallel programs

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PGX.D: a fast distributed graph processing engine

Sungpack Hong, Siegfried Depner, Thomas Manhardt, Jan Van Der Lugt, Merijn Verstraaten, Hassan Chafi

PGX.D: a fast distributed graph processing engine

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Practical scalable consensus for pseudo-synchronous distributed systems

Thomas Hérault, Aurelien Bouteiller, George Bosilca, Marc Gamell, Keita Teranishi, Manish Parashar, Jack J. Dongarra

Practical scalable consensus for pseudo-synchronous distributed systems

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IOrchestra: supporting high-performance data-intensive applications in the cloud via collaborative virtualization

Ron Chi-Lung Chiang, H. Howie Huang, Timothy Wood, Changbin Liu, Oliver Spatscheck

IOrchestra: supporting high-performance data-intensive applications in the cloud via collaborative virtualization

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Efficient implementation of quantum materials simulations on distributed CPU-GPU systems

Raffaele Solcà, Anton Kozhevnikov, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra, Thomas C. Schulthess

Efficient implementation of quantum materials simulations on distributed CPU-GPU systems

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A case for application-oblivious energy-efficient MPI runtime

Akshay Venkatesh, Abhinav Vishnu, Khaled Hamidouche, Nathan R. Tallent, Dhabaleswar K. Panda, Darren J. Kerbyson, Adolfy Hoisie

A case for application-oblivious energy-efficient MPI runtime

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Adaptive data placement for staging-based coupled scientific workflows

Qian Sun, Tong Jin, Melissa Romanus, Hoang Bui, Fan Zhang, Hongfeng Yu, Hemanth Kolla, Scott Klasky, Jacqueline Chen, Manish Parashar

Adaptive data placement for staging-based coupled scientific workflows

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Exploiting asynchrony from exact forward recovery for DUE in iterative solvers

Luc Jaulmes, Marc Casas, Miquel Moretó, Eduard Ayguadé, Jesús Labarta, Mateo Valero

Exploiting asynchrony from exact forward recovery for DUE in iterative solvers

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An elegant sufficiency: load-aware differentiated scheduling of data transfers

Rajkumar Kettimuthu, Gayane Vardoyan, Gagan Agrawal, P. Sadayappan, Ian T. Foster

An elegant sufficiency: load-aware differentiated scheduling of data transfers

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Mantle: a programmable metadata load balancer for the ceph file system

Michael A. Sevilla, Noah Watkins, Carlos Maltzahn, Ike Nassi, Scott A. Brandt, Sage A. Weil, Greg Farnum, Sam Fineberg

Mantle: a programmable metadata load balancer for the ceph file system

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Author Comments: The source code for this project was merged into Ceph. Experiment details (such as the benchmarking tool mdtest) are in the paper. Efforts to reproduce the paper were met with difficulty because reproducibility was not made a first class citizen. Our experiences with making this paper reproducible (including its setup and benchmarking) are published in our workshop paper titled: Popper Pitfalls: Experiences Following a Reproducibility Convention (https://dl.acm.org/citation.cfm?id=3214243).
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Performance of random sampling for computing low-rank approximations of a dense matrix on GPUs

Theo Mary, Ichitaro Yamazaki, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Jack J. Dongarra

Performance of random sampling for computing low-rank approximations of a dense matrix on GPUs

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STELLA: a domain-specific tool for structured grid methods in weather and climate models

Tobias Gysi, Carlos Osuna, Oliver Fuhrer, Mauro Bianco, Thomas C. Schulthess

STELLA: a domain-specific tool for structured grid methods in weather and climate models

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Bridging OpenCL and CUDA: a comparative analysis and translation

Junghyun Kim, Thanh Tuan Dao, Jaehoon Jung, Jinyoung Joo, Jaejin Lee

Bridging OpenCL and CUDA: a comparative analysis and translation

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STS-k: a multilevel sparse triangular solution scheme for NUMA multicores

Humayun Kabir, Joshua Dennis Booth, Guillaume Aupy, Anne Benoit, Yves Robert, Padma Raghavan

STS-k: a multilevel sparse triangular solution scheme for NUMA multicores

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Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors

Yida Wang, Michael J. Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Theodore L. Willke

Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors

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BD-CATS: big data clustering at trillion particle scale

Md. Mostofa Ali Patwary, Surendra Byna, Nadathur Rajagopalan Satish, Narayanan Sundaram, Zarija Lukic, Vadim Roytershteyn, Michael J. Anderson, Yushu Yao, Prabhat, Pradeep Dubey

BD-CATS: big data clustering at trillion particle scale

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Engineering inhibitory proteins with InSiPS: the in-silico protein synthesizer

Andrew Schoenrock, Daniel J. Burnside, Houman Moteshareie, Alex Wong, Ashkan Golshani, Frank Dehne

Engineering inhibitory proteins with InSiPS: the in-silico protein synthesizer

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Data partitioning strategies for graph workloads on heterogeneous clusters

Michael LeBeane, Shuang Song, Reena Panda, Jee Ho Ryoo, Lizy K. John

Data partitioning strategies for graph workloads on heterogeneous clusters

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Clock delta compression for scalable order-replay of non-deterministic parallel applications

Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz

Clock delta compression for scalable order-replay of non-deterministic parallel applications

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Big omics data experience

Patricia A. Kovatch, Anthony Costa, Zachary Giles, Eugene Fluder, Hyung Min Cho, Svetlana Mazurkova

Big omics data experience

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Network endpoint congestion control for fine-grained communication

Nan Jiang, Larry R. Dennison, William J. Dally

Network endpoint congestion control for fine-grained communication

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Understanding the propagation of transient errors in HPC applications

Rizwan A. Ashraf, Roberto Gioiosa, Gokcen Kestor, Ronald F. DeMara, Chen-Yong Cher, Pradip Bose

Understanding the propagation of transient errors in HPC applications

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AnalyzeThis: an analysis workflow-aware storage system

Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Anwar, Ali Raza Butt, Lavanya Ramakrishnan

AnalyzeThis: an analysis workflow-aware storage system

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C2-bound: a capacity and concurrency driven analytical model for many-core design

Yu-Hang Liu, Xian-He Sun

C2-bound: a capacity and concurrency driven analytical model for many-core design

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Finding the limits of power-constrained application performance

Peter E. Bailey, Aniruddha Marathe, David K. Lowenthal, Barry Rountree, Martin Schulz

Finding the limits of power-constrained application performance

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Massively parallel phase-field simulations for ternary eutectic directional solidification

Martin Bauer, Johannes Hötzer, Marcus Jainta, Philipp Steinmetz, Marco Berghoff, Florian Schornbaum, Christian Godenschwager, Harald Köstler, Britta Nestler, Ulrich Rüde

Massively parallel phase-field simulations for ternary eutectic directional solidification

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GossipMap: a distributed community detection algorithm for billion-edge directed graphs

Seung-Hee Bae, Bill Howe

GossipMap: a distributed community detection algorithm for billion-edge directed graphs

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Elastic job bundling: an adaptive resource request strategy for large-scale parallel applications

Feng Liu, Jon B. Weissman

Elastic job bundling: an adaptive resource request strategy for large-scale parallel applications

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Implicit nonlinear wave simulation with 1.08T DOF and 0.270T unstructured finite elements to enhance comprehensive earthquake simulation

Tsuyoshi Ichimura, Kohei Fujita, Pher Errol Balde Quinay, Lalith Maddegedara, Muneo Hori, Seizo Tanaka, Yoshihisa Shizawa, Hiroshi Kobayashi, Kazuo Minami

Implicit nonlinear wave simulation with 1.08T DOF and 0.270T unstructured finite elements to enhance comprehensive earthquake simulation

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Cost-effective diameter-two topologies: analysis and evaluation

Georgios Kathareios, Cyriel Minkenberg, Bogdan Prisacari, Germán Rodríguez, Torsten Hoefler

Cost-effective diameter-two topologies: analysis and evaluation

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