High Performance Computing, ISC High Performance 2016


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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Mitigating MPI Message Matching Misery

Mario Flajslik, James Dinan, Keith D. Underwood

Mitigating MPI Message Matching Misery

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Efficient and Predictable Group Communication for Manycore NoCs

Karthik Yagna, Onkar Patil, Frank Mueller

Efficient and Predictable Group Communication for Manycore NoCs

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Comparing Runtime Systems with Exascale Ambitions Using the Parallel Research Kernels

Rob F. Van der Wijngaart, Abdullah Kayi, Jeff R. Hammond, Gabriele Jost, Tom St. John, Srinivas Sridharan, Timothy G. Mattson, John Abercrombie, Jacob Nelson

Comparing Runtime Systems with Exascale Ambitions Using the Parallel Research Kernels

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Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication

Diana Palsetia, William Hendrix, Sunwoo Lee, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary

Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication

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Towards Machine Learning on the Automata Processor

Tommy Tracy II, Yao Fu, Indranil Roy, Eric Jonas, Paul Glendenning

Towards Machine Learning on the Automata Processor

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Multi-versioning Performance Opportunities in BGAS System for Resilience

Nan Dun, Dirk Pleiter, Aiman Fang, Nicolas Vandenbergen, Andrew A. Chien

Multi-versioning Performance Opportunities in BGAS System for Resilience

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Supercomputing Centers and Electricity Service Providers: A Geographically Distributed Perspective on Demand Management in Europe and the United States

Tapasya Patki, Natalie J. Bates, Girish Ghatikar, Anders Clausen, Sonja Klingert, Ghaleb Abdulla, Mehdi Sheikhalishahi

Supercomputing Centers and Electricity Service Providers: A Geographically Distributed Perspective on Demand Management in Europe and the United States

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TCU: A Multi-Objective Hardware Thread Mapping Unit for HPC Clusters

Ravi Kumar Pujari, Thomas Wild, Andreas Herkersdorf

TCU: A Multi-Objective Hardware Thread Mapping Unit for HPC Clusters

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SPRITE: A Fast Parallel SNP Detection Pipeline

Vasudevan Rengasamy, Kamesh Madduri

SPRITE: A Fast Parallel SNP Detection Pipeline

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Resource Management for Running HPC Applications in Container Clouds

Stephen Herbein, Ayush Dusia, Aaron Landwehr, Sean McDaniel, José Monsalve, Yang Yang, Seetharami R. Seelam, Michela Taufer

Resource Management for Running HPC Applications in Container Clouds

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Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults

Karla Morris, Francesco Rizzi, Khachik Sargsyan, Kathryn Dahlgren, Paul Mycek, Cosmin Safta, Olivier P. Le Maître, Omar M. Knio, Bert J. Debusschere

Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults

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An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling

Rengan Xu, Sunita Chandrasekaran, Xiaonan Tian, Barbara M. Chapman

An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling

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AutoMOMML: Automatic Multi-objective Modeling with Machine Learning

Prasanna Balaprakash, Ananta Tiwari, Stefan M. Wild, Laura Carrington, Paul D. Hovland

AutoMOMML: Automatic Multi-objective Modeling with Machine Learning

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Efficiency of High Order Spectral Element Methods on Petascale Architectures

Maxwell Hutchinson, Alexander Heinecke, Hans Pabst, Greg Henry, Matteo Parsani, David E. Keyes

Efficiency of High Order Spectral Element Methods on Petascale Architectures

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INAM2: InfiniBand Network Analysis and Monitoring with MPI

Hari Subramoni, Albert Mathews Augustine, Mark Daniel Arnold, Jonathan L. Perkins, Xiaoyi Lu, Khaled Hamidouche, Dhabaleswar K. Panda

INAM2: InfiniBand Network Analysis and Monitoring with MPI

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High Order Seismic Simulations on the Intel Xeon Phi Processor (Knights Landing)

Alexander Heinecke, Alexander Breuer, Michael Bader, Pradeep Dubey

High Order Seismic Simulations on the Intel Xeon Phi Processor (Knights Landing)

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Author Comments: As described in the paper, git tag 201511 was used for the performance measurements.
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TiDA: High-Level Programming Abstractions for Data Locality Management

Didem Unat, Tan Nguyen, Weiqun Zhang, Muhammed Nufail Farooqi, Burak Bastem, George Michelogiannakis, Ann S. Almgren, John Shalf

TiDA: High-Level Programming Abstractions for Data Locality Management

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OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capabilities

Nikhil Jain, Eric J. Bohm, Eric Mikida, Subhasish Mandal, Minjung Kim, Prateek Jindal, Qi Li, Sohrab Ismail-Beigi, Glenn J. Martyna, Laxmikant V. Kalé

OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capabilities

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An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data

Bruno R. C. Magalhães, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki, Felix Schürmann

An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data

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Predictive Modeling for Job Power Consumption in HPC Systems

Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini

Predictive Modeling for Job Power Consumption in HPC Systems

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Performance, Design, and Autotuning of Batched GEMM for GPUs

Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, Jack J. Dongarra

Performance, Design, and Autotuning of Batched GEMM for GPUs

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Dynamic Sparse-Matrix Allocation on GPUs

James King, Thomas Gilray, Robert M. Kirby, Matthew Might

Dynamic Sparse-Matrix Allocation on GPUs

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Many-Core Acceleration of a Discrete Ordinates Transport Mini-App at Extreme Scale

Tom Deakin, Simon McIntosh-Smith, Wayne P. Gaudin

Many-Core Acceleration of a Discrete Ordinates Transport Mini-App at Extreme Scale

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Distributed Job Allocation for Large-Scale Manycores

Subramanian Ramachandran, Frank Mueller

Distributed Job Allocation for Large-Scale Manycores

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Leveraging a Cluster-Booster Architecture for Brain-Scale Simulations

Pramod S. Kumbhar, Michael L. Hines, Aleksandr Ovcharenko, Damián A. Mallón, James G. King, Florentino Sainz, Felix Schürmann, Fabien Delalondre

Leveraging a Cluster-Booster Architecture for Brain-Scale Simulations

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