Tools for High Performance Computing Proceedings of the 2nd International Workshop on Parallel Tools for High Performance Computing, July 2008, HLRS, Stuttgart /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Resch, Michael (Επιμελητής έκδοσης), Keller, Rainer (Επιμελητής έκδοσης), Himmler, Valentin (Επιμελητής έκδοσης), Krammer, Bettina (Επιμελητής έκδοσης), Schulz, Alexander (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Integrated Development Environments
  • Sun HPC ClusterTools™ 7+: A Binary Distribution of Open MPI
  • An Integrated Environment For the Development of Parallel Applications
  • Debugging MPI Programs on the Grid using g-Eclipse
  • Parallel Communication and Debugging
  • Enhanced Memory debugging of MPI-parallel Applications in Open MPI
  • MPI Correctness Checking with Marmot
  • Memory Debugging in Parallel and Distributed Applications
  • Performance Analysis Tools
  • Sequential Performance Analysis with Callgrind and KCachegrind
  • Improving Cache Utilization Using Acumem VPE
  • Parallel Performance Analysis Tools
  • The Vampir Performance Analysis Tool-Set
  • Usage of the SCALASCA toolset for scalable performance analysis of large-scale parallel applications
  • Evolution of a Parallel Performance System
  • Cray Performance Analysis Tools.