<p><p>Current advances in High Performance Computing (HPC) increasingly impact efficient software development workflows. Programmers for HPC applications need to consider trends such as increased core counts, multiple levels of parallelism, reduced memory per core, and I/O system challenges in order
Tools for High Performance Computing 2011: Proceedings of the 5th International Workshop on Parallel Tools for High Performance Computing, September 2011, ZIH, Dresden
β Scribed by Martin Schulz, Abhinav Bhatele (auth.), Holger Brunst, Matthias S. MΓΌller, Wolfgang E. Nagel, Michael M. Resch (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2012
- Tongue
- English
- Leaves
- 165
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The proceedings of the 5th International Workshop on Parallel Tools for High Performance Computing provide an overview on supportive software tools and environments in the fields of System Management, Parallel Debugging and Performance Analysis. In the pursuit to maintain exponential growth for the performance of high performance computers the HPC community is currently targeting Exascale Systems. The initial planning for Exascale already started when the first Petaflop system was delivered. Many challenges need to be addressed to reach the necessary performance. Scalability, energy efficiency and fault-tolerance need to be increased by orders of magnitude. The goal can only be achieved when advanced hardware is combined with a suitable software stack. In fact, the importance of software is rapidly growing. As a result, many international projects focus on the necessary software.
β¦ Table of Contents
Front Matter....Pages i-xvi
Creating a Tool Set for Optimizing Topology-Aware Node Mappings....Pages 1-12
Using Sampling to Understand Parallel Program Performance....Pages 13-25
likwid-bench: An Extensible Microbenchmarking Platform for x86 Multicore Compute Nodes....Pages 27-36
An Open-Source Tool-Chain for Performance Analysis....Pages 37-48
Debugging CUDA Accelerated Parallel Applications with TotalView....Pages 49-61
Advanced Memory Checking Frameworks for MPI Parallel Applications in Open MPI....Pages 63-78
Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir....Pages 79-91
Trace-Based Performance Analysis for Hardware Accelerators....Pages 93-104
Folding: Detailed Analysis with Coarse Sampling....Pages 105-118
Advances in the TAU Performance System....Pages 119-130
Temanejo: Debugging of Thread-Based Task-Parallel Programs in StarSS....Pages 131-137
HiFlow 3 : A Hardware-Aware Parallel Finite Element Package....Pages 139-151
Back Matter....Pages 153-154
β¦ Subjects
System Performance and Evaluation; Performance and Reliability; Programming Languages, Compilers, Interpreters; Algorithm Analysis and Problem Complexity; Data Mining and Knowledge Discovery; Computer Applications
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