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. whilst, the starting to be features of recent supercomputing architectures have brought on an expanding complexity of the parallel software 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 approach is supported by means of detailed software program instruments, facilitating debugging, functionality research, and optimization and hence creating a significant contribution to the improvement of strong and effective parallel software program. This ebook introduces a range 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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Fan et al. PIN/Valgrind Open MPI MemPin/Memcheck Memchecker Memory Management insert MPI Routines delete reg callback Memory Registration Callback Engine Storage set mem state Callback Impl Mem Reg Search Engine r/w counts buffer usage WBR check Application Code Translation Engine Fig. 2 Run-time structure of MemPin MemPin uses image and trace instrumentations in user applications. The image instrumentation is done when the image is loaded. In this stage, all the MemPin calls used in the user application will be replaced, and the main entry function, like main will be instrumented for starting the trace engine and the callstack log of MemPin.

Fan et al. Time Watch mem op User code MPI_Isend Process 1 MPI_Wait MPI_Finalize MPI Library Buffer usage Check MPI Library MPI_Irecv Process 2 MPI_Wait MPI_Finalize User code Watch mem op Fig. 5 An example of non-blocking communication using post-communication checks analysis mechanism may help user applications to detect whether data has been sent needlessly, i. e. data that has been sent but might be overwritten before reading or may be never accessed in the receiving process. More precisely, read accesses on the received data is counted as meaningful, while the first write access is not, for the communicated buffer is overwritten before any actual use.

MPI Application Development with MARMOT. In: PARCO. , Central Institute for Applied Mathematics, J¨ulich, Germany (2005) 893–900 3. : Dynamic Software Testing of MPI Applications with Umpire. Supercomputing, ACM/IEEE 2000 Conference (04–10 Nov. 2000) 51–51 4. : Mpi runtime error detection with must: Advances in deadlock detection. In: Proceedings of 2012 International Conference for High Performance Computing, Networking, Storage and Analysis. SC ’12, New York, NY, USA, ACM (2012) 5. : Holistic Debugging of MPI Derived Datatypes.

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