Tools for High Performance Computing 2012 by David Lecomber, Patrick Wohlschlegel (auth.), Alexey

By David Lecomber, Patrick Wohlschlegel (auth.), Alexey Cheptsov, Steffen Brinkmann, José Gracia, Michael M. Resch, Wolfgang E. Nagel (eds.)

The most modern advances within the excessive functionality Computing have considerably raised the extent of accessible compute functionality. while, the transforming into features of recent supercomputing architectures have brought on an expanding complexity of the parallel program improvement. regardless of a number of efforts to enhance and simplify parallel programming, there's nonetheless loads of handbook debugging and tuning paintings required. This procedure is supported by means of detailed software program instruments, facilitating debugging, functionality research, and optimization and therefore creating a significant contribution to the improvement of strong and effective parallel software program. This booklet introduces a variety of the instruments, which have been awarded and mentioned on the sixth overseas Parallel instruments Workshop, held in Stuttgart, Germany, 25-26 September 2012. ​

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Extra resources for Tools for High Performance Computing 2012

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In the beginning of previous work, we introduced new implementations of the memchecker framework within Open MPI to check for memory problems in parallel applications [3, 11]. It extends and integrates the Valgrind [10] Memcheck tool in memchecker to observe communication buffers during the communication as well as user specified parameters. We also introduced a newly developed memory checking tool, MemPin, which has similar functionalities as Memcheck and its extension. This new tool provide more flexibilities to be integrated in the MPI libraries.

Problems, bugs and critical issues in these applications, which have been found using the debugging tool, will be mainly focused on. The structure of this paper is as follows: Sect. 2 shows the basic idea and functionalities of Intel PIN; Sect. 3 first introduces the functionalities and architecture of MemPin, then it gives a detailed description on the integration the tool in Open MPI libraries; Sect. 4 shows details of the pre- and post-communication checks for parallel applications; then in Sect.

The Memory Management component is in charge of inserting, deleting or updating memory entries. An memory entry contains information of a communication buffer, including starting address, size, callback function pointer and memory operation flag. All memory entries are stored in the Memory Registration Storage, which is a multiple map data structure. The Search Engine intercepts the translated application code from Intel Pin, and find the match access according to the storage. If a match is found, it will send corresponding memory information to the Callback Engine, which then will directly call the callback function registered with the memory entry.

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