| 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 B. Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel S. Emer, Stephen W. Keckler |
Understanding error propagation in deep learning neural network (DNN) accelerators and applications Details |
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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 Details |
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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 Details |
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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 Details |
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Low communication FMM-accelerated FFT on GPUs Cris Cecka |
Low communication FMM-accelerated FFT on GPUs Details |
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LocoFS: a loosely-coupled metadata service for distributed file systems Siyang Li, Youyou Lu, Jiwu Shu, Yang Hu, Tao Li |
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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 Details |
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Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie |
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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 |
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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 Details |
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Massively parallel 3D image reconstruction Xiao Wang, Amit Sabne, Putt Sakdhnagool, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff |
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Sudharshan S. Vazhkudai, Ross Miller, Devesh Tiwari, Christopher Zimmer, Feiyi Wang, Sarp Oral, Raghul Gunasekaran, Deryl Steinert |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Vladimir Mironov, Yuri Alexeev, Kristopher Keipert, Michael D'mello, Alexander A. Moskovsky, Mark S. Gordon |
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Giorgis Georgakoudis, Ignacio Laguna, Dimitrios S. Nikolopoulos, Martin Schulz |
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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 Details |
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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 Details |
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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 Details |
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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 K. 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 Details |
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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 Details |
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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 Details |
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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 |
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GPU triggered networking for intra-kernel communications Michael LeBeane, Khaled Hamidouche, Brad Benton, Maurício Breternitz, Steven K. Reinhardt, Lizy K. John |
GPU triggered networking for intra-kernel communications Details |
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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 Details |
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Unimem: runtime data managementon non-volatile memory-based heterogeneous main memory Kai Wu, Yingchao Huang, Dong Li |
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Haohuan Fu, Conghui He, Bingwei Chen, Zekun Yin, Zhenguo Zhang, Wenqiang Zhang, Tingjian Zhang, Wei Xue, Weiguo Liu, Wanwang Yin, Guangwen Yang, Xiaofei Chen |
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Efficient process mapping in geo-distributed cloud data centers Amelie Chi Zhou, Yifan Gong, Bingsheng He, Jidong Zhai |
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Toward standardized near-data processing with unrestricted data placement for GPUs Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Haohuan Fu, Junfeng Liao, Nan Ding, Xiaohui Duan, Lin Gan, Yishuang Liang, Xinliang Wang, Jinzhe Yang, Yan Zheng, Weiguo Liu, Lanning Wang, Guangwen Yang |
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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 Details |
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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 |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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0.5 petabyte simulation of a 45-qubit quantum circuit Thomas Häner, Damian S. Steiger |
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Large-scale adaptive mesh simulations through non-volatile byte-addressable memory Bao Nguyen, Hua Tan, Xuechen Zhang |
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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 Details |
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Yingjin Qian, Xi Li, Shuichi Ihara, Lingfang Zeng, Jürgen Kaiser, Tim Süß, André Brinkmann |
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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 Details |
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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 Details |
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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 Details |
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Hui Guan, Xipeng Shen, Hamid Krim |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Yan Li, Kenneth Chang, Oceane Bel, Ethan L. Miller, Darrell D. E. Long |
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Sympiler: transforming sparse matrix codes by decoupling symbolic analysis Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi |
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Leveraging near data processing for high-performance checkpoint/restart Abhinav Agrawal, Gabriel H. Loh, James Tuck |
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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 Details |
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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 Details |
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Liang Yuan, Yunquan Zhang, Peng Guo, Shan Huang |
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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 Details |
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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 Details |
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