IEEE High-Performance Parallel and Distributed Computing, HPDC 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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NICE: Network-Integrated Cluster-Efficient Storage

Samer Al-Kiswany, Suli Yang, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau

NICE: Network-Integrated Cluster-Efficient Storage

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Machine and Application Aware Partitioning for Adaptive Mesh Refinement Applications

Milinda Fernando, Dmitry Duplyakin, Hari Sundar

Machine and Application Aware Partitioning for Adaptive Mesh Refinement Applications

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LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures

Bo Fang, Qiang Guan, Nathan DeBardeleben, Karthik Pattabiraman, Matei Ripeanu

LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures

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IOGP: An Incremental Online Graph Partitioning Algorithm for Distributed Graph Databases

Dong Dai, Wei Zhang, Yong Chen

IOGP: An Incremental Online Graph Partitioning Algorithm for Distributed Graph Databases

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Parallel Stream Processing Against Workload Skewness and Variance

Junhua Fang, Rong Zhang, Tom Z. J. Fu, Zhenjie Zhang, Aoying Zhou, Junhua Zhu

Parallel Stream Processing Against Workload Skewness and Variance

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MaDaTS: Managing Data on Tiered Storage for Scientific Workflows

Devarshi Ghoshal, Lavanya Ramakrishnan

MaDaTS: Managing Data on Tiered Storage for Scientific Workflows

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AllConcur: Leaderless Concurrent Atomic Broadcast

Marius Poke, Torsten Hoefler, Colin W. Glass

AllConcur: Leaderless Concurrent Atomic Broadcast

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Better Safe than Sorry: Grappling with Failures of In-Memory Data Analytics Frameworks

Bogdan Ghit, Dick H. J. Epema

Better Safe than Sorry: Grappling with Failures of In-Memory Data Analytics Frameworks

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ArrayUDF: User-Defined Scientific Data Analysis on Arrays

Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu

ArrayUDF: User-Defined Scientific Data Analysis on Arrays

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Building Secure Platforms for Research on Human Subjects: The Importance of Computer Scientists

Julia Ingrid Lane

Building Secure Platforms for Research on Human Subjects: The Importance of Computer Scientists

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knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library

Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns

knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library

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Enabling Workflow-Aware Scheduling on HPC Systems

Gonzalo Pedro Rodrigo Álvarez, Erik Elmroth, Per-Olov Östberg, Lavanya Ramakrishnan

Enabling Workflow-Aware Scheduling on HPC Systems

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Caches All the Way Down: Infrastructure for Data Intensive Science

David Abramson

Caches All the Way Down: Infrastructure for Data Intensive Science

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Towards a More Complete Understanding of SDC Propagation

Jon Calhoun, Marc Snir, Luke N. Olson, William D. Gropp

Towards a More Complete Understanding of SDC Propagation

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Using Scientific Computing to Advance Wildland Fire Monitoring and Prediction

Janice L. Coen

Using Scientific Computing to Advance Wildland Fire Monitoring and Prediction

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Predicting Output Performance of a Petascale Supercomputer

Bing Xie, Yezhou Huang, Jeffrey S. Chase, Jong Youl Choi, Scott Klasky, Jay F. Lofstead, Sarp Oral

Predicting Output Performance of a Petascale Supercomputer

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Deep Learning in Cancer and Infectious Disease: Novel Driver Problems for Future HPC Architecture

Rick Stevens

Deep Learning in Cancer and Infectious Disease: Novel Driver Problems for Future HPC Architecture

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COS: A Parallel Performance Model for Dynamic Variations in Processor Speed, Memory Speed, and Thread Concurrency

Bo Li, Edgar A. León, Kirk W. Cameron

COS: A Parallel Performance Model for Dynamic Variations in Processor Speed, Memory Speed, and Thread Concurrency

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TCP Throughput Profiles Using Measurements over Dedicated Connections

Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Don Towsley, Gayane Vardoyan, Rajkumar Kettimuthu, Ian T. Foster

TCP Throughput Profiles Using Measurements over Dedicated Connections

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To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations

Maciej Besta, Michal Podstawski, Linus Groner, Edgar Solomonik, Torsten Hoefler

To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations

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CuMF_SGD: Parallelized Stochastic Gradient Descent for Matrix Factorization on GPUs

Xiaolong Xie, Wei Tan, Liana L. Fong, Yun Liang

CuMF_SGD: Parallelized Stochastic Gradient Descent for Matrix Factorization on GPUs

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Diagnosing Machine Learning Pipelines with Fine-grained Lineage

Zhao Zhang, Evan R. Sparks, Michael J. Franklin

Diagnosing Machine Learning Pipelines with Fine-grained Lineage

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Explaining Wide Area Data Transfer Performance

Zhengchun Liu, Prasanna Balaprakash, Rajkumar Kettimuthu, Ian T. Foster

Explaining Wide Area Data Transfer Performance

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