ACM/IEEE Intl. Conf. for High Perf. Computing, Networking, Storage and Analysis, SC 2017


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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Understanding error propagation in deep learning neural network (DNN) accelerators and applications

Guanpeng Li, Siva Kumar Sastry Hari, Michael Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel S. Emer, Stephen W. Keckler

Understanding error propagation in deep learning neural network (DNN) accelerators and applications

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Tagit: an integrated indexing and search service for file systems

Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Geoffroy R. Vallée, Seung-Hwan Lim, Ali Raza Butt

Tagit: an integrated indexing and search service for file systems

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Transactional NVM cache with high performance and crash consistency

Qingsong Wei, Chundong Wang, Cheng Chen, Yechao Yang, Jun Yang, Mingdi Xue

Transactional NVM cache with high performance and crash consistency

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Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels

Ang Li, Weifeng Liu, Mads Ruben Burgdorff Kristensen, Brian Vinter, Hao Wang, Kaixi Hou, Andres Marquez, Shuaiwen Leon Song

Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels

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Low communication FMM-accelerated FFT on GPUs

Cris Cecka

Low communication FMM-accelerated FFT on GPUs

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LocoFS: a loosely-coupled metadata service for distributed file systems

Siyang Li, Youyou Lu, Jiwu Shu, Yang Hu, Tao Li

LocoFS: a loosely-coupled metadata service for distributed file systems

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Distributed southwell: an iterative method with low communication costs

Jordi Wolfson-Pou, Edmond Chow

Distributed southwell: an iterative method with low communication costs

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Representative paths analysis

Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie

Representative paths analysis

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ScrubJay: deriving knowledge from the disarray of HPC performance data

Alfredo Giménez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, Martin Schulz

ScrubJay: deriving knowledge from the disarray of HPC performance data

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Scaling deep learning on GPU and knights landing clusters

Yang You, Aydin Buluç, James Demmel

Scaling deep learning on GPU and knights landing clusters

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Massively parallel 3D image reconstruction

Xiao Wang, Amit Sabne, Putt Sakdhnagool, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff

Massively parallel 3D image reconstruction

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GUIDE: a scalable information directory service to collect, federate, and analyze logs for operational insights into a leadership HPC facility

Sudharshan S. Vazhkudai, Ross Miller, Devesh Tiwari, Christopher Zimmer, Feiyi Wang, Sarp Oral, Raghul Gunasekaran, Deryl Steinert

GUIDE: a scalable information directory service to collect, federate, and analyze logs for operational insights into a leadership HPC facility

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Understanding object-level memory access patterns across the spectrum

Xu Ji, Chao Wang, Nosayba El-Sayed, Xiaosong Ma, Youngjae Kim, Sudharshan S. Vazhkudai, Wei Xue, Daniel Sánchez

Understanding object-level memory access patterns across the spectrum

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Geometry-oblivious FMM for compressing dense SPD matrices

Chenhan D. Yu, James Levitt, Severin Reiz, George Biros

Geometry-oblivious FMM for compressing dense SPD matrices

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A framework for scalable biophysics-based image analysis

Amir Gholami, Andreas Mang, Klaudius Scheufele, Christos Davatzikos, Miriam Mehl, George Biros

A framework for scalable biophysics-based image analysis

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Deep learning at 15PF: supervised and semi-supervised classification for scientific data

Thorsten Kurth, Jian Zhang, Nadathur Satish, Evan Racah, Ioannis Mitliagkas, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey

Deep learning at 15PF: supervised and semi-supervised classification for scientific data

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Experimental and analytical study of Xeon Phi reliability

Daniel A. G. de Oliveira, Laércio Lima Pilla, Nathan DeBardeleben, Sean Blanchard, Heather Quinn, Israel Koren, Philippe O. A. Navaux, Paolo Rech

Experimental and analytical study of Xeon Phi reliability

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An efficient MPI/openMP parallelization of the Hartree-Fock method for the second generation of Intel® Xeon Phi processor

Vladimir Mironov, Yuri Alexeev, Kristopher Keipert, Michael D'mello, Alexander Moskovsky, Mark S. Gordon

An efficient MPI/openMP parallelization of the Hartree-Fock method for the second generation of Intel® Xeon Phi processor

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REFINE: realistic fault injection via compiler-based instrumentation for accuracy, portability and speed

Giorgis Georgakoudis, Ignacio Laguna, Dimitrios S. Nikolopoulos, Martin Schulz

REFINE: realistic fault injection via compiler-based instrumentation for accuracy, portability and speed

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Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method

Shigeru Iwase, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai, Tomoya Ono

Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method

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Optimizing geometric multigrid method computation using a DSL approach

Vinay Vasista, Kumudha Narasimhan, Siddharth Bhat, Uday Bondhugula

Optimizing geometric multigrid method computation using a DSL approach

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Parastack: efficient hang detection for MPI programs at large scale

Hongbo Li, Zizhong Chen, Rajiv Gupta

Parastack: efficient hang detection for MPI programs at large scale

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Why is MPI so slow?: analyzing the fundamental limits in implementing MPI-3.1

Ken Raffenetti, Abdelhalim Amer, Lena Oden, Charles Archer, Wesley Bland, Hajime Fujita, Yanfei Guo, Tomislav Janjusic, Dmitry Durnov, Michael Blocksome, Min Si, Sangmin Seo, Akhil Langer, Gengbin Zheng, Masamichi Takagi, Paul Coffman, Jithin Jose, Sayantan Sur, Alexander Sannikov, Sergey Oblomov, Michael Chuvelev, Masayuki Hatanaka, Xin Zhao, Paul F. Fischer, Thilina Rathnayake, Matthew Otten, Misun Min, Pavan Balaji

Why is MPI so slow?: analyzing the fundamental limits in implementing MPI-3.1

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Input-aware auto-tuning of compute-bound HPC kernels

Philippe Tillet, David Cox

Input-aware auto-tuning of compute-bound HPC kernels

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Control replication: compiling implicit parallelism to efficient SPMD with logical regions

Elliott Slaughter, Wonchan Lee, Sean Treichler, Wen Zhang, Michael Bauer, Galen M. Shipman, Patrick S. McCormick, Alex Aiken

Control replication: compiling implicit parallelism to efficient SPMD with logical regions

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Embracing a new era of highly efficient and productive quantum Monte Carlo simulations

Amrita Mathuriya, Ye Luo, Raymond C. Clay III, Anouar Benali, Luke Shulenburger, Jeongnim Kim

Embracing a new era of highly efficient and productive quantum Monte Carlo simulations

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GPU triggered networking for intra-kernel communications

Michael LeBeane, Khaled Hamidouche, Brad Benton, Mauricio Breternitz, Steven K. Reinhardt, Lizy K. John

GPU triggered networking for intra-kernel communications

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Predicting the performance impact of different fat-tree configurations

Nikhil Jain, Abhinav Bhatele, Louis H. Howell, David Böhme, Ian Karlin, Edgar A. León, Misbah Mubarak, Noah Wolfe, Todd Gamblin, Matthew L. Leininger

Predicting the performance impact of different fat-tree configurations

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Unimem: runtime data managementon non-volatile memory-based heterogeneous main memory

Kai Wu, Yingchao Huang, Dong Li

Unimem: runtime data managementon non-volatile memory-based heterogeneous main memory

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18.9-Pflops nonlinear earthquake simulation on Sunway TaihuLight: enabling depiction of 18-Hz and 8-meter scenarios

Haohuan Fu, Conghui He, Bingwei Chen, Zekun Yin, Zhenguo Zhang, Wenqiang Zhang, Tingjian Zhang, Wei Xue, Weiguo Liu, Wanwang Yin, Guangwen Yang, Xiaofei Chen

18.9-Pflops nonlinear earthquake simulation on Sunway TaihuLight: enabling depiction of 18-Hz and 8-meter scenarios

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Efficient process mapping in geo-distributed cloud data centers

Amelie Chi Zhou, Yifan Gong, Bingsheng He, Jidong Zhai

Efficient process mapping in geo-distributed cloud data centers

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Toward standardized near-data processing with unrestricted data placement for GPUs

Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh

Toward standardized near-data processing with unrestricted data placement for GPUs

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Run-to-run variability on Xeon Phi based cray XC systems

Sudheer Chunduri, Kevin Harms, Scott Parker, Vitali A. Morozov, Samuel Oshin, Naveen Cherukuri, Kalyan Kumaran

Run-to-run variability on Xeon Phi based cray XC systems

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Topology-aware GPU scheduling for learning workloads in cloud environments

Marcelo Amaral, Jordà Polo, David Carrera, Seetharami R. Seelam, Malgorzata Steinder

Topology-aware GPU scheduling for learning workloads in cloud environments

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Scaling betweenness centrality using communication-efficient sparse matrix multiplication

Edgar Solomonik, Maciej Besta, Flavio Vella, Torsten Hoefler

Scaling betweenness centrality using communication-efficient sparse matrix multiplication

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Extreme scale multi-physics simulations of the tsunamigenic 2004 sumatra megathrust earthquake

Carsten Uphoff, Sebastian Rettenberger, Michael Bader, Elizabeth H. Madden, Thomas Ulrich, Stephanie Wollherr, Alice-Agnes Gabriel

Extreme scale multi-physics simulations of the tsunamigenic 2004 sumatra megathrust earthquake

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PapyrusKV: a high-performance parallel key-value store for distributed NVM architectures

Jungwon Kim, Seyong Lee, Jeffrey S. Vetter

PapyrusKV: a high-performance parallel key-value store for distributed NVM architectures

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Redesigning CAM-SE for peta-scale climate modeling performance and ultra-high resolution on Sunway TaihuLight

Haohuan Fu, Junfeng Liao, Nan Ding, Xiaohui Duan, Lin Gan, Yishuang Liang, Xinliang Wang, Jinzhe Yang, Yan Zheng, Weiguo Liu, Lanning Wang, Guangwen Yang

Redesigning CAM-SE for peta-scale climate modeling performance and ultra-high resolution on Sunway TaihuLight

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Failures in large scale systems: long-term measurement, analysis, and implications

Saurabh Gupta, Tirthak Patel, Christian Engelmann, Devesh Tiwari

Failures in large scale systems: long-term measurement, analysis, and implications

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Optimizing the query performance of block index through data analysis and I/O modeling

Tzu-Hsien Wu, Jerry Chi-Yuan Chou, Shyng Hao, Bin Dong, Scott Klasky, Kesheng Wu

Optimizing the query performance of block index through data analysis and I/O modeling

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Correcting soft errors online in fast fourier transform

Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen

Correcting soft errors online in fast fourier transform

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Scalable reduction collectives with data partitioning-based multi-leader design

Mohammadreza Bayatpour, Sourav Chakraborty, Hari Subramoni, Xiaoyi Lu, Dhabaleswar K. Panda

Scalable reduction collectives with data partitioning-based multi-leader design

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Obtaining dynamic scheduling policies with simulation and machine learning

Danilo Carastan-Santos, Raphael Y. de Camargo

Obtaining dynamic scheduling policies with simulation and machine learning

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Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies

Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat

Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies

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0.5 petabyte simulation of a 45-qubit quantum circuit

Thomas Häner, Damian S. Steiger

0.5 petabyte simulation of a 45-qubit quantum circuit

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Large-scale adaptive mesh simulations through non-volatile byte-addressable memory

Bao Nguyen, Hua Tan, Xuechen Zhang

Large-scale adaptive mesh simulations through non-volatile byte-addressable memory

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Probabilistic guarantees of execution duration for Amazon spot instances

Rich Wolski, John Brevik, Ryan Chard, Kyle Chard

Probabilistic guarantees of execution duration for Amazon spot instances

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A configurable rule based classful token bucket filter network request scheduler for the lustre file system

Yingjin Qian, Xi Li, Shuichi Ihara, Lingfang Zeng, Jürgen Kaiser, Tim Süß, André Brinkmann

A configurable rule based classful token bucket filter network request scheduler for the lustre file system

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Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures

Mohammed Sourouri, Espen Birger Raknes, Nico Reissmann, Johannes Langguth, Daniel Hackenberg, Robert Schöne, Per Gunnar Kjeldsberg

Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures

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Melissa: large scale in transit sensitivity analysis avoiding intermediate files

Théophile Terraz, Alejandro Ribés, Yvan Fournier, Bertrand Iooss, Bruno Raffin

Melissa: large scale in transit sensitivity analysis avoiding intermediate files

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Performance modeling under resource constraints using deep transfer learning

Aniruddha Marathe, Rushil Anirudh, Nikhil Jain, Abhinav Bhatele, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Jae-Seung Yeom, Barry Rountree, Todd Gamblin

Performance modeling under resource constraints using deep transfer learning

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Egeria: a framework for automatic synthesis of HPC advising tools through multi-layered natural language processing

Hui Guan, Xipeng Shen, Hamid Krim

Egeria: a framework for automatic synthesis of HPC advising tools through multi-layered natural language processing

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DataRaceBench: a benchmark suite for systematic evaluation of data race detection tools

Chunhua Liao, Pei-Hung Lin, Joshua Asplund, Markus Schordan, Ian Karlin

DataRaceBench: a benchmark suite for systematic evaluation of data race detection tools

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Charliecloud: unprivileged containers for user-defined software stacks in HPC

Reid Priedhorsky, Tim Randles

Charliecloud: unprivileged containers for user-defined software stacks in HPC

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Securing HPC: development of a low cost, open source multi-factor authentication infrastructure

W. Cyrus Proctor, Patrick Storm, Matthew R. Hanlon, Nathaniel Mendoza

Securing HPC: development of a low cost, open source multi-factor authentication infrastructure

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Scientific user behavior and data-sharing trends in a petascale file system

Seung-Hwan Lim, Hyogi Sim, Raghul Gunasekaran, Sudharshan S. Vazhkudai

Scientific user behavior and data-sharing trends in a petascale file system

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CAPES: unsupervised storage performance tuning using neural network-based deep reinforcement learning

Yan Li, Kenneth Chang, Oceane Bel, Ethan L. Miller, Darrell D. E. Long

CAPES: unsupervised storage performance tuning using neural network-based deep reinforcement learning

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Sympiler: transforming sparse matrix codes by decoupling symbolic analysis

Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi

Sympiler: transforming sparse matrix codes by decoupling symbolic analysis

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Leveraging near data processing for high-performance checkpoint/restart

Abhinav Agrawal, Gabriel H. Loh, James Tuck

Leveraging near data processing for high-performance checkpoint/restart

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Gravel: fine-grain GPU-initiated network messages

Marc S. Orr, Shuai Che, Bradford M. Beckmann, Mark Oskin, Steven K. Reinhardt, David A. Wood

Gravel: fine-grain GPU-initiated network messages

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A comparative study of SDN and adaptive routing on dragonfly networks

Peyman Faizian, Md Atiqul Mollah, Zhou Tong, Xin Yuan, Michael Lang

A comparative study of SDN and adaptive routing on dragonfly networks

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Tessellating stencils

Liang Yuan, Yunquan Zhang, Peng Guo, Shan Huang

Tessellating stencils

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Designing vector-friendly compact BLAS and LAPACK kernels

Kyungjoo Kim, Timothy B. Costa, Mehmet Deveci, Andrew M. Bradley, Simon D. Hammond, Murat Efe Guney, Sarah Knepper, Shane Story, Sivasankaran Rajamanickam

Designing vector-friendly compact BLAS and LAPACK kernels

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sPIN: high-performance streaming processing in the network

Torsten Hoefler, Salvatore Di Girolamo, Konstantin Taranov, Ryan E. Grant, Ron Brightwell

sPIN: high-performance streaming processing in the network

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