By Ralph Altenfeld, Markus Apel, Dieter an Mey, Bernd Böttger, Stefan Benke (auth.), Barbara M. Chapman, William D. Gropp, Kalyan Kumaran, Matthias S. Müller (eds.)
This publication constitutes the refereed court cases of the seventh overseas Workshop on OpenMP, IWOMP 2011, held in Chicago, IL, united states in June 2011. The thirteen revised complete papers provided have been rigorously reviewed and chosen for inclusion within the complaints. The papers are geared up in topical sections on utilizing OpenMP with program, instruments for OpenMP, extensions of OpenMP, and implementation and performance.
Read or Download OpenMP in the Petascale Era: 7th International Workshop on OpenMP, IWOMP 2011, Chicago, IL, USA, June 13-15, 2011. Proceedings PDF
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Additional resources for OpenMP in the Petascale Era: 7th International Workshop on OpenMP, IWOMP 2011, Chicago, IL, USA, June 13-15, 2011. Proceedings
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3 A process can be placed in FX using the priocntl command or system call. 26 M. Woodyard The highest FX priority compute-intensive threads get all the processor time they require, which is the desired behavior; but lower FX priority processes can be impacted by a trade-off of processor affinity vs. priority, in some cases keeping some mid-priority threads off processor longer. As shown below, using OpenMP dynamic work distribution usually works best to sustain high utilization; static, or in some cases even guided, work distribution methods can be less efficient.
The model can be adapted to predict this FX scheduling behavior for longrunning work chunks simply by running all threads round-robin for a small number of time quanta, then favoring three of the threads until they complete their chunk. Measurements and predictions for runs made using FX in the described circumstances are graphed in Figure 4, collected over 30 iterations. Measurements are plotted at 3 cores for clarity. This figure shows that in some iterations no substantial work is blocked, resulting in a speed-up of 3; but on average one thread is blocked with substantial work.
The first Fortran code segment is an OpenMP combined parallel worksharing construct that fills a matrix. Line numbers are provided to track back to the code from the experimental tool. 6 Set to 20 ms and 200 ms for this analysis. $omp end parallel do The second code segment is a worksharing construct inside an explicit parallel region that performs a computationally-intensive operation on matrices. $omp parallel shared(a,b,c,n,p) private(i,j,k,z) ... $omp end do ... f90 The runs were made on a Sun Ultra 27 workstation, running Solaris 10, with a four-core Intel Xeon W3570 processor.