Tools for High Performance Computing

With the advent of multi-core processors, implementing parallel programming methods in application development is absolutely necessary in order to achieve good performance. Soon, 8-core and possibly 16-core processors will be available, even for desktop machines. To support application developers in the various tasks involved in this process, several different tools need to be at his or her disposal. This workshop will give the users an overview of the existing tools in the area of integrated development environments for clusters, various parallel debuggers, and new-style performance analysis tools, as well as an update on the state of the art of long-term research tools, which have advanced to an industrial level. The proceedings of the 2nd Parallel Tools Workshop guide participants by providing a technical overview to help them decide upon which tool suits the requirements for the development task at hand. Additionally, through the hands-on sessions, the workshop will enable the user to immediately deploy the tools.

Table of Contents

Part I Integrated Development Environments
Chapter 1 Sun HPC ClusterTools™ 7+: A Binary Distribution of Open MPI
Chapter 2 An Integrated Environment For the Development of Parallel Applications
Chapter 3 Debugging MPI Programs on the Grid using g-Eclipse

Part II Parallel Communication and Debugging
Chapter 4 Enhanced Memory debugging of MPI-parallel Applications in Open MPI
Chapter 5 MPI Correctness Checking with Marmot
Chapter 6 Memory Debugging in Parallel and Distributed Applications

Part III Performance Analysis Tools
Chapter 7 Sequential Performance Analysis with Callgrind and KCachegrind
Chapter 8 Improving Cache Utilization Using Acumem VPE
Chapter 9 The Vampir Performance Analysis Tool-Set
Chapter 10 Usage of the SCALASCA toolset for scalable performance analysis of large-scale parallel applications
Chapter 11 Evolution of a Parallel Performance System
Chapter 12 Cray Performance Analysis Tools