[hpc-announce] Call For Participation: Performance Modeling, Benchmarking and Simulation (PMBS), Supercomputing 2018 (SC18), Dallas, TX
Steven Wright
steven.wright at york.ac.uk
Mon Nov 5 03:28:51 CST 2018
================================================================
9th International Workshop on Performance Modeling, Benchmarking
and Simulation of High Performance Computer Systems (PMBS18)
held as part of SC18, Dallas, TX, November 2018
http://www.pmbsworkshop.org
================================================================
The PMBS18 workshop is concerned with the comparison of
high-performance computing systems through performance modeling,
benchmarking or through the use of tools such as simulators.
We are particularly interested in research which reports the
ability to measure and make tradeoffs in software/hardware
co-design to improve sustained application performance. We are
also keen to capture the assessment of future systems, for
example through work that ensures continued application
scalability through peta- and exa-scale systems.
The aim of this workshop is to bring together researchers, from
industry and academia, concerned with the qualitative and
quantitative evaluation and modeling of high-performance
computing systems. Authors are invited to submit novel research
in all areas of performance modeling, benchmarking and
simulation, and we welcome research that brings together current
theory and practice. We recognize that the coverage of the term
'performance' has broadened to include power consumption and
reliability, and that performance modeling is practiced through
analytical methods and approaches based on software tools and
simulators.
=== Information ===
November 12th 2018, 9:00-17:30
Location: D165
=== Agenda ===
Session 1: HPC Interconnects
9:00 - 9:30 Improving MPI Reduction Performance for Manycore
Architectures with OpenMP and Compression
9:30 - 10:00 Exploring and Quantifying How Communication
Behaviors in Proxies Relate to Real Applications
10:00 - 10:30 Coffee Break
Session 2: Machine/Deep Learning
10:30 - 11:00 Deep Learning at Scale on NVIDIA V100 Accelerators
11:00 - 11:30 Benchmarking Machine Learning Methods for
Performance Modeling of Scientific Applications
Session 3: Late-breaking Research and Preliminary Techniques
11:30 - 11:50 Algorithm Selection of MPI Collectives using
Machine Learning Techniques
11:50 - 12:10 miniVite: A Graph Analytics Benchmarking Tool for
Massively Parallel Systems
12:10 - 12:30 Unified Cross-Platform Profiling of Parallel C++
Applications
12:30 - 14:00 Lunch
Session 4: System Evaluation
14:00 - 14:30 A Metric for Evaluating Supercomputer Performance
in the Era of Extreme Heterogeneity
14:30 - 15:00 Evaluating SLURM Simulator with Real-Machine SLURM
and Vice Versa
15:00 - 15:30 Coffee Break
Session 5: Performance
15:30 - 16:00 Is Data Placement Optimization Still Relevant On
Newer GPUs?
16:00 - 16:30 Approximating a Multi-Grid Solver
Session 6: Simulation and Prediction
16:30 - 17:00 Evaluating the Impact of Spiking Neural Network
Traffic on Extreme-Scale Hybrid Systems
17:00 - 17:30 Automated Instruction Stream Throughput Prediction
for Intel and AMD Microarchitectures
=== More Information ===
For more information consult the PMBS Workshop homepage at:
http://www.pmbsworkshop.org.
--
Dr. Steven Wright
Lecturer,
Department of Computer Science
University of York, UK
Tel: +44 (0)1904 325 583
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