OpenMP in a New Era of Parallelism 4th International Workshop, IWOMP 2008 West Lafayette, IN, USA, May 12-14, 2008 Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Eigenmann, Rudolf (Επιμελητής έκδοσης), Supinski, Bronis R. de (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Lecture Notes in Computer Science, 5004
• Θέματα: Computer science.; Architecture, Computer.; Computer programming.; Software engineering.; Algorithms.; Computer science > Mathematics.; Computer simulation.; Computer Science.; Computer System Implementation.; Programming Techniques.; Software Engineering.; Algorithm Analysis and Problem Complexity.; Mathematics of Computing.; Simulation and Modeling.

OpenMP is a widely accepted, standard application programming interface (API) for high-level shared-memory parallel programming in Fortran, C, and C++. Since its introduction in 1997, OpenMP has gained support from most high-performance compiler and hardware vendors. Under the direction of the OpenM...

Πίνακας περιεχομένων:

• Fourth International Workshop on OpenMP IWOMP 2008
• A Microbenchmark Study of OpenMP Overheads under Nested Parallelism
• CLOMP: Accurately Characterizing OpenMP Application Overheads
• Detection of Violations to the MPI Standard in Hybrid OpenMP/MPI Applications
• Early Experiments with the OpenMP/MPI Hybrid Programming Model
• First Experiences with Intel Cluster OpenMP
• Micro-benchmarks for Cluster OpenMP Implementations: Memory Consistency Costs
• Incorporation of OpenMP Memory Consistency into Conventional Dataflow Analysis
• STEP: A Distributed OpenMP for Coarse-Grain Parallelism Tool
• Evaluation of OpenMP Task Scheduling Strategies
• Extending the OpenMP Tasking Model to Allow Dependent Tasks
• OpenMP Extensions for Generic Libraries
• Streams: Emerging from a Shared Memory Model
• On Multi-threaded Satisfiability Solving with OpenMP
• Parallelism and Scalability in an Image Processing Application
• Scheduling Dynamic OpenMP Applications over Multicore Architectures
• Visualizing the Program Execution Control Flow of OpenMP Applications.