| 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 Details |
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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 Details |
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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 Details |
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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 Details |
Artifacts for some papers are reviewed by an artifact evaluation, reproducibility,
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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 Details |
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Frugal ECC: efficient and versatile memory error protection through fine-grained compression Jungrae Kim, Michael B. Sullivan, Seong-Lyong Gong, Mattan Erez |
Frugal ECC: efficient and versatile memory error protection through fine-grained compression Details |
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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 |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
Artifacts for some papers are reviewed by an artifact evaluation, reproducibility,
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Devesh Tiwari, Saurabh Gupta, George Gallarno, Jim Rogers, Don Maxwell |
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Jongsoo Park, Mikhail Smelyanskiy, Ulrike Meier Yang, Dheevatsa Mudigere, Pradeep Dubey |
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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 Details |
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Enterprise: breadth-first graph traversal on GPUs Hang Liu, H. Howie Huang |
Enterprise: breadth-first graph traversal on GPUs Details |
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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 Details |
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Energy-aware data transfer algorithms Ismail Alan, Engin Arslan, Tevfik Kosar |
Energy-aware data transfer algorithms Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Thomas Scogland, Jonathan Azose, David Rohr, Suzanne Rivoire, Natalie J. Bates, Daniel Hackenberg |
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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 Details |
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Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach Christopher M. 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 Details |
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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 Details |
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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 Details |
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Scalable sparse tensor decompositions in distributed memory systems Oguz Kaya, Bora Uçar |
Scalable sparse tensor decompositions in distributed memory systems Details |
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CilkSpec: optimistic concurrency for Cilk Shaizeen Aga, Sriram Krishnamoorthy, Satish Narayanasamy |
CilkSpec: optimistic concurrency for Cilk Details |
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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 Details |
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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 Details |
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Particle tracking in open simulation laboratories Kalin Kanov, Randal C. Burns |
Particle tracking in open simulation laboratories Details |
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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 Details |
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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 Details |
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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 Details |
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Yifan Gong, Bingsheng He, Amelie Chi Zhou |
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Torsten Hoefler, Roberto Belli |
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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 Details |
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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 Details |
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Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Practical scalable consensus for pseudo-synchronous distributed systems Thomas Hérault, Aurélien Bouteiller, George Bosilca, Marc Gamell, Keita Teranishi, Manish Parashar, Jack J. Dongarra |
Practical scalable consensus for pseudo-synchronous distributed systems Details |
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Ron Chi-Lung Chiang, H. Howie Huang, Timothy Wood, Changbin Liu, Oliver Spatscheck |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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 Théo 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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Patricia A. Kovatch, Anthony Costa, Zachary Giles, Eugene Fluder, Hyung Min Cho, Svetlana Mazurkova |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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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 Details |
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Tsuyoshi Ichimura, Kohei Fujita, Pher Errol Balde Quinay, Lalith Maddegedara, Muneo Hori, Seizo Tanaka, Yoshihisa Shizawa, Hiroshi Kobayashi, Kazuo Minami |
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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 Details |
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