The latest advances in the High Performance Computing hardware have significantly raised the level of available compute performance. At the same time, the growing hardware capabilities of modern supercomputing architectures have caused an increasing complexity of the parallel application development. Despite numerous efforts to improve and simplify parallel programming, there is still a lot of manual debugging and tuning work required. This process is supported by special software tools, facilitating debugging, performance analysis, and optimization and thus making a major contribution to the development of robust and efficient parallel software. This book introduces a selection of the tools, which were presented and discussed at the 6th International Parallel Tools Workshop, held in Stuttgart, Germany, 25-26 September 2012.
表中的内容
Preface.- Part I Debugging.- Debugging at Scale with Allinea DDT.- Task Debugging with TEMANEJO.- Part II Automatic Error Detection.- MPI Runtime Error Detection with MUST: Advanced Error Reports.- Advanced Memory Checking for MPI Parallel Applications Using Mem Pin.- Part III Performance Analysis and Optimization.- Generic Support for Remote Memory Access Operations in Score-P and OTF2.- Cache-Related Performance Analysis Using Rogue Wave Software’s Thread Spotter.- Custom Hot Spot Analysis of HPC Software with the Vampir Performance Tool Suite.- Extending Scalasca’s Analysis Features.- The HOPSA Workflow and Tools.- Part IV Performance Data Visualization.- Visualizing More Performance Data Than What Fits on Your Screen.
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