By Vassilios V. Dimakopoulos, Panagiotis E. Hadjidoukas, Giorgos Ch. Philos (auth.), Rudolf Eigenmann, Bronis R. de Supinski (eds.)
OpenMP is a generally authorized, usual program programming interface (API) for high-level shared-memory parallel programming in Fortran, C, and C++. considering the fact that its advent in 1997, OpenMP has received aid from so much high-performance compiler and owners. below the path of the OpenMP structure evaluation Board (ARB), the OpenMP speci?cation has developed, together with the - cent unencumber of Speci?cation three. zero. lively learn in OpenMP compilers, runtime structures, instruments, and environments drives its evolution, together with new positive factors resembling tasking. The neighborhood of OpenMP researchers and builders in academia and - dustry is united lower than cOMPunity (www. compunity. org). This organaization has held workshops on OpenMP all over the world due to the fact 1999: the eu Wo- store on OpenMP (EWOMP), the North American Workshop on OpenMP App- cations and instruments (WOMPAT), and the Asian Workshop on OpenMP reports and Implementation (WOMPEI) attracted annual audiences from academia and undefined. The overseas Workshop on OpenMP (IWOMP) consolidated those 3 workshop sequence right into a unmarried annual foreign occasion that rotates around the prior workshop websites. The ?rst IWOMP assembly was once held in 2005, in - gene, Oregon, united states. IWOMP 2006 happened in Reims, France, and IWOMP 2007 in Beijing, China. each one workshop drew over 60 individuals from learn and - dustry through the international. IWOMP 2008 endured the sequence with technical papers, panels, tutorials, and OpenMP prestige reviews. The ?rst IWOMP wo- store was once prepared less than the auspices of cOMPunity.
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Extra info for OpenMP in a New Era of Parallelism: 4th International Workshop, IWOMP 2008 West Lafayette, IN, USA, May 12-14, 2008 Proceedings
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It is desirable that the pre and post execution code is designed such that it does not change the semantics of the application. This especially requires that if there is a run of the application in which the commands are executed in a certain order between the threads then there is a run with the wrapper attached in which the commands of the application are executed in the same order. We propose several rules for the pre and post execution code that should enforce preservation of semantics: – the code must not enforce serialization or a certain ordering of the MPI calls made on the threads of each process – the code must not enforce an ordering of the MPI calls of different processes – execution may only take a finite time – parameters passed to the MPI call must not be modified – no data that is used by the application or the MPI library must be changed – no input files used by the application or the MPI library must be changed We assume that as long as the code within the wrappers does not violate any of these restrictions all errors that appear in the application may still appear when the wrapper is used.
S. M¨ uller, and B. Krammer With this design there is a data race between two simultaneously executed Receive calls if one of them is invalidating a Probe call. There is also a data race if a Receive call is called in parallel to a Probe call that returned source and tag values matched by the receive. This race is hard to detect as not all runs will enter the code in the if statement. 5 Detection of Wrong Request Usage A data race for the constraint of restriction (II) can be constructed as in the case of restriction (IV).
IWOMP 2008, LNCS 5004, pp. 48–59, 2008. c Springer-Verlag Berlin Heidelberg 2008 First Experiences with Intel Cluster OpenMP 49 In 2006, Intel made the first commercial implementation of OpenMP for clusters available, named Intel Cluster OpenMP [4] (referred to as ClOMP in this paper). 5 standard for Fortran, C and C++ is implemented, although nested parallel regions are not yet supported. This paper is organized as follows: In section 2 we give an overview of OpenMP and Intel Cluster OpenMP.