| 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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IMPACC: A Tightly Integrated MPI+OpenACC Framework Exploiting Shared Memory Parallelism Jungwon Kim, Seyong Lee, Jeffrey S. Vetter |
IMPACC: A Tightly Integrated MPI+OpenACC Framework Exploiting Shared Memory Parallelism Details |
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Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, Sparsh Mittal |
Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory Details |
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IBIS: Interposed Big-data I/O Scheduler Yiqi Xu, Ming Zhao |
IBIS: Interposed Big-data I/O Scheduler Details |
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Master of Puppets: Cooperative Multitasking for In Situ Processing Dmitriy Morozov, Zarija Lukic |
Master of Puppets: Cooperative Multitasking for In Situ Processing Details |
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Kyuho Jeong, Renato J. O. Figueiredo |
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Consecutive Job Submission Behavior at Mira Supercomputer Stephan Schlagkamp, Rafael Ferreira da Silva, William E. Allcock, Ewa Deelman, Uwe Schwiegelshohn |
Consecutive Job Submission Behavior at Mira Supercomputer Details |
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Routing on the Dependency Graph: A New Approach to Deadlock-Free High-Performance Routing Jens Domke, Torsten Hoefler, Satoshi Matsuoka |
Routing on the Dependency Graph: A New Approach to Deadlock-Free High-Performance Routing Details |
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Joel E. Denny, Seyong Lee, Jeffrey S. Vetter |
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Nicholas Chaimov, Allen D. Malony, Shane Canon, Costin Iancu, Khaled Z. Ibrahim, Jay Srinivasan |
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Network-Managed Virtual Global Address Space for Message-driven Runtimes Abhishek Kulkarni, Luke Dalessandro, Ezra Kissel, Andrew Lumsdaine, Thomas L. Sterling, D. Martin Swany |
Network-Managed Virtual Global Address Space for Message-driven Runtimes Details |
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Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs Wei Tan, Liangliang Cao, Liana L. Fong |
Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs Details |
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DD-Graph: A Highly Cost-Effective Distributed Disk-based Graph-Processing Framework Yongli Cheng, Fang Wang, Hong Jiang, Yu Hua, Dan Feng, XiuNeng Wang |
DD-Graph: A Highly Cost-Effective Distributed Disk-based Graph-Processing Framework Details |
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Scalable I/O-Aware Job Scheduling for Burst Buffer Enabled HPC Clusters Stephen Herbein, Dong H. Ahn, Don Lipari, Thomas R. W. Scogland, Marc Stearman, Mark Grondona, Jim Garlick, Becky Springmeyer, Michela Taufer |
Scalable I/O-Aware Job Scheduling for Burst Buffer Enabled HPC Clusters Details |
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Preparing for Supercomputing's Sixth Wave Jeffrey S. Vetter |
Preparing for Supercomputing's Sixth Wave Details |
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Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen |
Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra Details |
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Wiera: Towards Flexible Multi-Tiered Geo-Distributed Cloud Storage Instances Kwangsung Oh, Abhishek Chandra, Jon B. Weissman |
Wiera: Towards Flexible Multi-Tiered Geo-Distributed Cloud Storage Instances Details |
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Automatic Hybridization of Runtime Systems Kyle C. Hale, Conor Hetland, Peter A. Dinda |
Automatic Hybridization of Runtime Systems Details |
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Zachary Benavides, Rajiv Gupta, Xiangyu Zhang |
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High-Performance Distributed RMA Locks Patrick Schmid, Maciej Besta, Torsten Hoefler |
High-Performance Distributed RMA Locks Details |
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Implications of Heterogeneous Memories in Next Generation Server Systems Ada Gavrilovska |
Implications of Heterogeneous Memories in Next Generation Server Systems Details |
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Evaluation of Pattern Matching Workloads in Graph Analysis Systems Seokyong Hong, Sangkeun Lee, Seung-Hwan Lim, Sreenivas R. Sukumar, Ranga Raju Vatsavai |
Evaluation of Pattern Matching Workloads in Graph Analysis Systems Details |
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GPU-Aware Non-contiguous Data Movement In Open MPI Wei Wu, George Bosilca, Rolf Vandevaart, Sylvain Jeaugey, Jack J. Dongarra |
GPU-Aware Non-contiguous Data Movement In Open MPI Details |
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Efficient Processing of Large Graphs via Input Reduction Amlan Kusum, Keval Vora, Rajiv Gupta, Iulian Neamtiu |
Efficient Processing of Large Graphs via Input Reduction Details |
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MOS: Workload-aware Elasticity for Cloud Object Stores Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt |
MOS: Workload-aware Elasticity for Cloud Object Stores Details |
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SWAT: A Programmable, In-Memory, Distributed, High-Performance Computing Platform Max Grossman, Vivek Sarkar |
SWAT: A Programmable, In-Memory, Distributed, High-Performance Computing Platform Details |
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Improving GPU Performance Through Resource Sharing Vishwesh Jatala, Jayvant Anantpur, Amey Karkare |
Improving GPU Performance Through Resource Sharing Details |
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We implemented our approach using GPGPU-Sim simulator (http://www.gpgpu-sim.org/).
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New-Sum: A Novel Online ABFT Scheme For General Iterative Methods Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Eddy Z. Zhang, Darren J. Kerbyson, Zizhong Chen |
New-Sum: A Novel Online ABFT Scheme For General Iterative Methods Details |
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SMT-Aware Instantaneous Footprint Optimization Probir Roy, Xu Liu, Shuaiwen Leon Song |
SMT-Aware Instantaneous Footprint Optimization Details |
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SDS-Sort: Scalable Dynamic Skew-aware Parallel Sorting Bin Dong, Surendra Byna, Kesheng Wu |
SDS-Sort: Scalable Dynamic Skew-aware Parallel Sorting Details |
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BAShuffler: Maximizing Network Bandwidth Utilization in the Shuffle of YARN Feng Liang, Francis C. M. Lau |
BAShuffler: Maximizing Network Bandwidth Utilization in the Shuffle of YARN Details |
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With Extreme Scale Computing the Rules Have Changed Jack J. Dongarra |
With Extreme Scale Computing the Rules Have Changed Details |
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