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Publication search results
found 14 matches
- 2018
- Omar Aaziz, Jeanine E. Cook, Jonathan E. Cook, Courtenay Vaughan:
Exploring and Quantifying How Communication Behaviors in Proxies Relate to Real Applications. PMBS@SC 2018: 12-22 - Brian Austin, Christopher S. Daley
, Douglas Doerfler
, Jack Deslippe, Brandon Cook, Brian Friesen
, Thorsten Kurth, Charlene Yang, Nicholas J. Wright
:
A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity. PMBS@SC 2018: 63-71 - Md Abdullah Shahneous Bari, Larisa Stoltzfus, Pei-Hung Lin
, Chunhua Liao, Murali Emani, Barbara M. Chapman:
Is Data Placement Optimization Still Relevant on Newer GPUs? PMBS@SC 2018: 83-96 - Valentin Le Fèvre, Leonardo Bautista-Gomez, Osman S. Unsal, Marc Casas
:
Approximating a Multi-Grid Solver. PMBS@SC 2018: 97-107 - Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin:
MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. PMBS@SC 2018: 51-56 - Sascha Hunold
, Alexandra Carpen-Amarie:
Algorithm Selection of MPI Collectives Using Machine Learning Techniques. PMBS@SC 2018: 45-50 - Ana Jokanovic, Marco D'Amico
, Julita Corbalán
:
Evaluating SLURM Simulator with Real-Machine SLURM and Vice Versa. PMBS@SC 2018: 72-82 - Vladyslav Kucher, Florian Fey, Sergei Gorlatch:
Unified Cross-Platform Profiling of Parallel C++ Applications. PMBS@SC 2018: 57-62 - Jan Laukemann, Julian Hammer, Johannes Hofmann, Georg Hager
, Gerhard Wellein:
Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures. PMBS@SC 2018: 121-131 - Preeti Malakar, Prasanna Balaprakash, Venkatram Vishwanath, Vitali A. Morozov, Kalyan Kumaran:
Benchmarking Machine Learning Methods for Performance Modeling of Scientific Applications. PMBS@SC 2018: 33-44 - Hongzhang Shan, Samuel Williams
, Calvin W. Johnson:
Improving MPI Reduction Performance for Manycore Architectures with OpenMP and Data Compression. PMBS@SC 2018: 1-11 - Noah Wolfe, Mark Plagge, Christopher D. Carothers, Misbah Mubarak, Robert B. Ross:
Evaluating the Impact of Spiking Neural Network Traffic on Extreme-Scale Hybrid Systems. PMBS@SC 2018: 108-120 - Rengan Xu, Frank Han, Quy Ta:
Deep Learning at Scale on NVIDIA V100 Accelerators. PMBS@SC 2018: 23-32 - 2018 IEEE/ACM Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, PMBS@SC 2018, Dallas, TX, USA, November 12, 2018. IEEE 2018, ISBN 978-1-7281-0182-8 [contents]
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