| 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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dCUDA: hardware supported overlap of computation and communication Tobias Gysi, Jeremia Bär, Torsten Hoefler |
dCUDA: hardware supported overlap of computation and communication Details |
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A machine learning framework for performance coverage analysis of proxy applications Tanzima Zerin Islam, Jayaraman J. Thiagarajan, Abhinav Bhatele, Martin Schulz, Todd Gamblin |
A machine learning framework for performance coverage analysis of proxy applications Details |
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The mont-blanc prototype: an alternative approach for HPC systems Nikola Rajovic, Alejandro Rico, Filippo Mantovani, Daniel Ruiz, Josep Oriol Vilarrubi, Constantino Gómez, Luna Backes, Diego Nieto, Harald Servat, Xavier Martorell, Jesús Labarta, Eduard Ayguadé, Chris Adeniyi-Jones, Said Derradji, Hervé Gloaguen, Piero Lanucara, Nico Sanna, Jean-François Méhaut, Kevin Pouget, Brice Videau, Eric Boyer, Momme Allalen, Axel Auweter, David Brayford, Daniele Tafani, Volker Weinberg, Dirk Brömmel, René Halver, Jan H. Meinke, Ramón Beivide, Mariano Benito, Enrique Vallejo, Mateo Valero, Alex Ramírez |
The mont-blanc prototype: an alternative approach for HPC systems Details |
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A PCIe congestion-aware performance model for densely populated accelerator servers Maxime Martinasso, Grzegorz Kwasniewski, Sadaf R. Alam, Thomas C. Schulthess, Torsten Hoefler |
A PCIe congestion-aware performance model for densely populated accelerator servers Details |
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PIPES: a language and compiler for task-based programming on distributed-memory clusters Martin Kong, Louis-Noël Pouchet, P. Sadayappan, Vivek Sarkar |
PIPES: a language and compiler for task-based programming on distributed-memory clusters Details |
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Yang Liu, Raghul Gunasekaran, Xiaosong Ma, Sudharshan S. Vazhkudai |
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Designing scalable b-Matching algorithms on distributed memory multiprocessors by approximation Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Mahantesh Halappanavar, Nadathur Rajagopalan Satish, Narayanan Sundaram, Pradeep Dubey |
Designing scalable b-Matching algorithms on distributed memory multiprocessors by approximation Details |
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Translating OpenMP device constructs to OpenCL using unnecessary data transfer elimination Junghyun Kim, Yong-Jun Lee, Jung-Ho Park, Jaejin Lee |
Translating OpenMP device constructs to OpenCL using unnecessary data transfer elimination Details |
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PFEAST: a high performance sparse eigenvalue solver using distributed-memory linear solvers James Kestyn, Vasileios Kalantzis, Eric Polizzi, Yousef Saad |
PFEAST: a high performance sparse eigenvalue solver using distributed-memory linear solvers Details |
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A multi-faceted approach to job placement for improved performance on extreme-scale systems Christopher Zimmer, Saurabh Gupta, Scott Atchley, Sudharshan S. Vazhkudai, Carl Albing |
A multi-faceted approach to job placement for improved performance on extreme-scale systems Details |
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Measuring and understanding throughput of network topologies Sangeetha Abdu Jyothi, Ankit Singla, Brighten Godfrey, Alexandra Kolla |
Measuring and understanding throughput of network topologies Details |
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Elastic multi-resource fairness: balancing fairness and efficiency in coupled CPU-GPU architectures Shanjiang Tang, Bingsheng He, Shuhao Zhang, Zhaojie Niu |
Elastic multi-resource fairness: balancing fairness and efficiency in coupled CPU-GPU architectures Details |
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Caliper: performance introspection for HPC software stacks David Böhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew P. LeGendre, Olga Pearce, Martin Schulz |
Caliper: performance introspection for HPC software stacks Details |
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Graph colouring as a challenge problem for dynamic graph processing on distributed systems Scott Sallinen, Keita Iwabuchi, Suraj Poudel, Maya B. Gokhale, Matei Ripeanu, Roger A. Pearce |
Graph colouring as a challenge problem for dynamic graph processing on distributed systems Details |
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Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael V. DeBole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir, John V. Arthur, Alexander Andreopoulos, Rathinakumar Appuswamy, Heinz Baier, Davis Barch, David J. Berg, Carmelo di Nolfo, Steven K. Esser, Myron Flickner, Thomas A. Horvath, Bryan L. Jackson, Jeff Kusnitz, Scott Lekuch, Michael Mastro, Timothy Melano, Paul A. Merolla, Steven E. Millman, Tapan K. Nayak, Norm Pass, Hartmut E. Penner, William P. Risk, Kai Schleupen, Benjamin Shaw, Hayley Wu, Brian Giera, Adam T. Moody, Nathan Mundhenk, Brian Van Essen, Eric X. Wang, David P. Widemann, Qing Wu, William E. Murphy, Jamie K. Infantolino, James A. Ross, Dale R. Shires, Manuel M. Vindiola, Raju Namburu, Dharmendra S. Modha |
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications Details |
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Accelerating lattice QCD multigrid on GPUs using fine-grained parallelization Michael A. Clark, Bálint Joó, Alexei Strelchenko, Michael Cheng, Arjun Singh Gambhir, Richard C. Brower |
Accelerating lattice QCD multigrid on GPUs using fine-grained parallelization Details |
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Evaluating and optimizing OpenCL kernels for high performance computing with FPGAs Hamid Reza Zohouri, Naoya Maruyama, Aaron Smith, Motohiko Matsuda, Satoshi Matsuoka |
Evaluating and optimizing OpenCL kernels for high performance computing with FPGAs Details |
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Perilla: metadata-based optimizations of an asynchronous runtime for adaptive mesh refinement Tan Nguyen, Didem Unat, Weiqun Zhang, Ann S. Almgren, Muhammed Nufail Farooqi, John Shalf |
Perilla: metadata-based optimizations of an asynchronous runtime for adaptive mesh refinement Details |
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High-frequency nonlinear earthquake simulations on petascale heterogeneous supercomputers Daniel Roten, Yifeng Cui, Kim B. Olsen, Steven M. Day, Kyle Withers, William H. Savran, Peng Wang, Dawei Mu |
High-frequency nonlinear earthquake simulations on petascale heterogeneous supercomputers Details |
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Flexfly: enabling a reconfigurable dragonfly through silicon photonics Ke Wen, Payman Samadi, Sébastien Rumley, Christine P. Chen, Yiwen Shen, Meisam Bahadori, Keren Bergman, Jeremiah J. Wilke |
Flexfly: enabling a reconfigurable dragonfly through silicon photonics Details |
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HARP: predictive transfer optimization based on historical analysis and real-time probing Engin Arslan, Kemal Guner, Tevfik Kosar |
HARP: predictive transfer optimization based on historical analysis and real-time probing Details |
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Jean-Luc Fattebert, Daniel Osei-Kuffuor, Erik W. Draeger, Tadashi Ogitsu, William D. Krauss |
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GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi N. Bhuyan, Zizhong Chen |
GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing Details |
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Reliable and efficient performance monitoring in linux Maria Dimakopoulou, Stéphane Eranian, Nectarios Koziris, Nicholas Bambos |
Reliable and efficient performance monitoring in linux Details |
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A highly effective global surface wave numerical simulation with ultra-high resolution Fang-Li Qiao, Wei Zhao, Xunqiang Yin, Xiaomeng Huang, Xin Liu, Qi Shu, Guansuo Wang, Zhenya Song, Xinfang Li, Haixing Liu, Guangwen Yang, Yeli Yuan |
A highly effective global surface wave numerical simulation with ultra-high resolution Details |
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MetaMorph: a library framework for interoperable kernels on multi- and many-core clusters Ahmed E. Helal, Paul Sathre, Wu-chun Feng |
MetaMorph: a library framework for interoperable kernels on multi- and many-core clusters Details |
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FlipBack: automatic targeted protection against silent data corruption Xiang Ni, Laxmikant V. Kalé |
FlipBack: automatic targeted protection against silent data corruption Details |
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Daino: a high-level framework for parallel and efficient AMR on GPUs Mohamed Wahib, Naoya Maruyama, Takayuki Aoki |
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Jianyu Huang, Tyler M. Smith, Greg M. Henry, Robert A. van de Geijn |
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Block iterative methods and recycling for improved scalability of linear solvers Pierre Jolivet, Pierre-Henri Tournier |
Block iterative methods and recycling for improved scalability of linear solvers Details |
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Enhancing infiniband with openflow-style SDN capability Jason Lee, Zhou Tong, Karthik Achalkar, Xin Yuan, Michael Lang |
Enhancing infiniband with openflow-style SDN capability Details |
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DCA: a DRAM-cache-aware DRAM controller Cheng-Chieh Huang, Vijay Nagarajan, Arpit Joshi |
DCA: a DRAM-cache-aware DRAM controller Details |
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Granularity and the cost of error recovery in resilient AMR scientific applications Anshu Dubey, Hajime Fujita, Daniel T. Graves, Andrew A. Chien, Devesh Tiwari |
Granularity and the cost of error recovery in resilient AMR scientific applications Details |
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High performance emulation of quantum circuits Thomas Häner, Damian S. Steiger, Mikhail Smelyanskiy, Matthias Troyer |
High performance emulation of quantum circuits Details |
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LIBXSMM: accelerating small matrix multiplications by runtime code generation Alexander Heinecke, Greg Henry, Maxwell Hutchinson, Hans Pabst |
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Unprotected computing: a large-scale study of DRAM raw error rate on a supercomputer Leonardo Bautista-Gomez, Ferad Zyulkyarov, Osman S. Unsal, Simon McIntosh-Smith |
Unprotected computing: a large-scale study of DRAM raw error rate on a supercomputer Details |
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The vectorization of the tersoff multi-body potential: an exercise in performance portability Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi |
The vectorization of the tersoff multi-body potential: an exercise in performance portability Details |
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Simulation and performance analysis of the ECMWF tape library system Markus Mäsker, Lars Nagel, Tim Süß, André Brinkmann, Lennart Sorth |
Simulation and performance analysis of the ECMWF tape library system Details |
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W. Michael Brown, Andrey Semin, Michael Hebenstreit, Sergey Khvostov, Karthik Raman, Steven J. Plimpton |
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Transient guarantees: maximizing the value of idle cloud capacity Supreeth Shastri, Amr Rizk, David E. Irwin |
Transient guarantees: maximizing the value of idle cloud capacity Details |
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Improving application resilience to memory errors with lightweight compression Scott Levy, Kurt B. Ferreira, Patrick G. Bridges |
Improving application resilience to memory errors with lightweight compression Details |
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Towards green aviation with python at petascale Peter E. Vincent, Freddie D. Witherden, Brian C. Vermeire, Jin Seok Park, Arvind Iyer |
Towards green aviation with python at petascale Details |
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Enhanced MPSM3 for applications to quantum biological simulations A. Pozdneev, Valéry Weber, Teodoro Laino, Constantine Bekas, Alessandro Curioni |
Enhanced MPSM3 for applications to quantum biological simulations Details |
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10M-core scalable fully-implicit solver for nonhydrostatic atmospheric dynamics Chao Yang, Wei Xue, Haohuan Fu, Hongtao You, Xinliang Wang, Yulong Ao, Fangfang Liu, Lin Gan, Ping Xu, Lanning Wang, Guangwen Yang, Weimin Zheng |
10M-core scalable fully-implicit solver for nonhydrostatic atmospheric dynamics Details |
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Optimizing memory efficiency for deep convolutional neural networks on GPUs Chao Li, Yi Yang, Min Feng, Srimat T. Chakradhar, Huiyang Zhou |
Optimizing memory efficiency for deep convolutional neural networks on GPUs Details |
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Watch out for the bully!: job interference study on dragonfly network Xu Yang, John Jenkins, Misbah Mubarak, Robert B. Ross, Zhiling Lan |
Watch out for the bully!: job interference study on dragonfly network Details |
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Development effort estimation in HPC Sandra Wienke, Julian Miller, Martin Schulz, Matthias S. Müller |
Development effort estimation in HPC Details |
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SERF: efficient scheduling for fast deep neural network serving via judicious parallelism Feng Yan, Yuxiong He, Olatunji Ruwase, Evgenia Smirni |
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Pinpointing scale-dependent integer overflow bugs in large-scale parallel applications Ignacio Laguna, Martin Schulz |
Pinpointing scale-dependent integer overflow bugs in large-scale parallel applications Details |
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Understanding error propagation in GPGPU applications Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose |
Understanding error propagation in GPGPU applications Details |
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Designing MPI library with on-demand paging (ODP) of infiniband: challenges and benefits Mingzhe Li, Khaled Hamidouche, Xiaoyi Lu, Hari Subramoni, Jie Zhang, Dhabaleswar K. Panda |
Designing MPI library with on-demand paging (ODP) of infiniband: challenges and benefits Details |
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A domain-specific compiler for a parallel multiresolution adaptive numerical simulation environment Samyam Rajbhandari, Jinsung Kim, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, Robert J. Harrison, P. Sadayappan |
A domain-specific compiler for a parallel multiresolution adaptive numerical simulation environment Details |
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Multi-resource fair sharing for datacenter jobs with placement constraints Wei Wang, Baochun Li, Ben Liang, Jun Li |
Multi-resource fair sharing for datacenter jobs with placement constraints Details |
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Performance modeling of in situ rendering Matthew Larsen, Cyrus Harrison, James Kress, David Pugmire, Jeremy S. Meredith, Hank Childs |
Performance modeling of in situ rendering Details |
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Takayuki Muranushi, Hideyuki Hotta, Junichiro Makino, Seiya Nishizawa, Hirofumi Tomita, Keigo Nitadori, Masaki Iwasawa, Natsuki Hosono, Yutaka Maruyama, Hikaru Inoue, Hisashi Yashiro, Yoshifumi Nakamura |
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Scalable non-blocking preconditioned conjugate gradient methods Paul R. Eller, William Gropp |
Scalable non-blocking preconditioned conjugate gradient methods Details |
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Haohuan Fu, Junfeng Liao, Wei Xue, Lanning Wang, Dexun Chen, Long Gu, Jinxiu Xu, Nan Ding, Xinliang Wang, Conghui He, Shizhen Xu, Yishuang Liang, Jiarui Fang, Yuanchao Xu, Weijie Zheng, Jingheng Xu, Zhen Zheng, Wanjing Wei, Xu Ji, He Zhang, Bingwei Chen, Kaiwei Li, Xiaomeng Huang, Wenguang Chen, Guangwen Yang |
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Exploring the potentials of parallel garbage collection in SSDs for enterprise storage systems Narges Shahidi, Mohammad Arjomand, Myoungsoo Jung, Mahmut T. Kandemir, Chita R. Das, Anand Sivasubramaniam |
Exploring the potentials of parallel garbage collection in SSDs for enterprise storage systems Details |
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MUSA: a multi-level simulation approach for next-generation HPC machines Thomas Grass, César Allande, Adrià Armejach, Alejandro Rico, Eduard Ayguadé, Jesús Labarta, Mateo Valero, Marc Casas, Miquel Moretó |
MUSA: a multi-level simulation approach for next-generation HPC machines Details |
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G-store: high-performance graph store for trillion-edge processing Pradeep Kumar, H. Howie Huang |
G-store: high-performance graph store for trillion-edge processing Details |
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Automating wavefront parallelization for sparse matrix computations Anand Venkat, Mahdi Soltan Mohammadi, Jongsoo Park, Hongbo Rong, Rajkishore Barik, Michelle Mills Strout, Mary W. Hall |
Automating wavefront parallelization for sparse matrix computations Details |
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A parallel algorithm for finding all pairs k-mismatch maximal common substrings Sriram P. Chockalingam, Sharma V. Thankachan, Srinivas Aluru |
A parallel algorithm for finding all pairs k-mismatch maximal common substrings Details |
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Extreme scale plasma turbulence simulations on top supercomputers worldwide William M. Tang, Bei Wang, Stéphane Ethier, Grzegorz Kwasniewski, Torsten Hoefler, Khaled Z. Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker, Carlos Rosales-Fernandez, Timothy J. Williams |
Extreme scale plasma turbulence simulations on top supercomputers worldwide Details |
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An efficient and scalable algorithmic method for generating large: scale random graphs Md. Maksudul Alam, Maleq Khan, Anil Vullikanti, Madhav V. Marathe |
An efficient and scalable algorithmic method for generating large: scale random graphs Details |
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An exploration of optimization algorithms for high performance tensor completion Shaden Smith, Jongsoo Park, George Karypis |
An exploration of optimization algorithms for high performance tensor completion Details |
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Scalemine: scalable parallel frequent subgraph mining in a single large graph Ehab Abdelhamid, Ibrahim Abdelaziz, Panos Kalnis, Zuhair Khayyat, Fuad T. Jamour |
Scalemine: scalable parallel frequent subgraph mining in a single large graph Details |
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Failure detection and propagation in HPC systems George Bosilca, Aurélien Bouteiller, Amina Guermouche, Thomas Hérault, Yves Robert, Pierre Sens, Jack J. Dongarra |
Failure detection and propagation in HPC systems Details |
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Evaluating HPC networks via simulation of parallel workloads Nikhil Jain, Abhinav Bhatele, Sam White, Todd Gamblin, Laxmikant V. Kalé |
Evaluating HPC networks via simulation of parallel workloads Details |
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Extreme-scale phase field simulations of coarsening dynamics on the sunway taihulight supercomputer Jian Zhang, Chunbao Zhou, Yangang Wang, Lili Ju, Qiang Du, Xuebin Chi, Dongsheng Xu, Dexun Chen, Yong Liu, Zhao Liu |
Extreme-scale phase field simulations of coarsening dynamics on the sunway taihulight supercomputer Details |
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Efficient delaunay tessellation through K-D tree decomposition Dmitriy Morozov, Tom Peterka |
Efficient delaunay tessellation through K-D tree decomposition Details |
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Extended task queuing: active messages for heterogeneous systems Michael LeBeane, Brandon Potter, Abhisek Pan, Alexandru Dutu, Vinay Agarwala, Wonchan Lee, Deepak Majeti, Bibek Ghimire, Eric Van Tassell, Samuel Wasmundt, Brad Benton, Maurício Breternitz, Michael L. Chu, Mithuna Thottethodi, Lizy K. John, Steven K. Reinhardt |
Extended task queuing: active messages for heterogeneous systems Details |
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Merge-based parallel sparse matrix-vector multiplication Duane Merrill, Michael Garland |
Merge-based parallel sparse matrix-vector multiplication Details |
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Utkarsh Ayachit, Andrew C. Bauer, Earl P. N. Duque, Greg Eisenhauer, Nicola J. Ferrier, Junmin Gu, Kenneth E. Jansen, Burlen Loring, Zarija Lukic, Suresh Menon, Dmitriy Morozov, Patrick O'Leary, Reetesh Ranjan, Michel E. Rasquin, Christopher P. Stone, Venkatram Vishwanath, Gunther H. Weber, Brad Whitlock, Matthew Wolf, K. John Wu, E. Wes Bethel |
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Optimal execution of co-analysis for large-scale molecular dynamics simulations Preeti Malakar, Venkatram Vishwanath, Christopher Knight, Todd S. Munson, Michael E. Papka |
Optimal execution of co-analysis for large-scale molecular dynamics simulations Details |
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A data driven scheduling approach for power management on HPC systems Sean Wallace, Xu Yang, Venkatram Vishwanath, William E. Allcock, Susan Coghlan, Michael E. Papka, Zhiling Lan |
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Compiler-directed lightweight checkpointing for fine-grained guaranteed soft error recovery Qingrui Liu, Changhee Jung, Dongyoon Lee, Devesh Tiwari |
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Scheduling-aware routing for supercomputers Jens Domke, Torsten Hoefler |
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A parallel arbitrary-order accurate AMR algorithm for the scalar advection-diffusion equation Arash Bakhtiari, Dhairya Malhotra, Amir Raoofy, Miriam Mehl, Hans-Joachim Bungartz, George Biros |
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Enabling efficient preemption for SIMT architectures with lightweight context switching Zhen Lin, Lars Nyland, Huiyang Zhou |
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Distributed-memory large deformation diffeomorphic 3D image registration Andreas Mang, Amir Gholami, George Biros |
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Real-time synthesis of compression algorithms for scientific data Martin Burtscher, Hari Mukka, Annie Yang, Farbod Hesaaraki |
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ZNNi: maximizing the inference throughput of 3D convolutional networks on CPUs and GPUs Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung |
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An ephemeral burst-buffer file system for scientific applications Teng Wang, Kathryn Mohror, Adam Moody, Kento Sato, Weikuan Yu |
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Týr: blob storage meets built-in transactions Pierre Matri, Alexandru Costan, Gabriel Antoniu, Jesús Montes, María S. Pérez |
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Understanding performance interference in next-generation HPC systems Oscar H. Mondragon, Patrick G. Bridges, Scott Levy, Kurt B. Ferreira, Patrick M. Widener |
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DAOS and friends: a proposal for an exascale storage system Jay F. Lofstead, Ivo Jimenez, Carlos Maltzahn, Quincey Koziol, John Bent, Eric Barton |
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Edgar A. León, Ian Karlin, Abhinav Bhatele, Steven H. Langer, Chris Chambreau, Louis H. Howell, Trent D'Hooge, Matthew L. Leininger |
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