By Michael Resch (auth.), Yiannis Cotronis, Anthony Danalis, Dimitrios S. Nikolopoulos, Jack Dongarra (eds.)
This ebook constitutes the refereed complaints of the 18th eu MPI clients' workforce assembly on fresh Advances within the Message Passing Interface, EuroMPI 2011, held in Santorini, Greece, in September 2011. The 28 revised complete papers awarded including 10 posters have been conscientiously reviewed and chosen from sixty six submissions. subject matters coated are verbal exchange; I/O; networking, and implementation matters and enhancements; algorithms and instruments; interplay with undefined; purposes and function evaluate; fault and tolerance.
Read Online or Download Recent Advances in the Message Passing Interface: 18th European MPI Users’ Group Meeting, EuroMPI 2011, Santorini, Greece, September 18-21, 2011. Proceedings PDF
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Extra resources for Recent Advances in the Message Passing Interface: 18th European MPI Users’ Group Meeting, EuroMPI 2011, Santorini, Greece, September 18-21, 2011. Proceedings
Example text
Pn ) ) if wasSuspended == true then for p ∈ {p1 , . . , pn } do states[p] = suspended if f inishedAggregation == true then {q1 , . . , qm } = reopenedP rocesses for p ∈ {q1 , . . , qm } do states[p] = open Fig. 3. Order preserving event suspension algorithm for multiple aggregations Order Preserving Event Aggregation in TBONs 23 process a queued event, it receives a new one. Lines 18-25 check whether all tasks for which the newly received event contains information are in the open state.
Parallel zero-copy algorithms for fast fourier transform and conjugate gradient using MPI datatypes. , Dongarra, J. ) EuroMPI 2010. LNCS, vol. 6305, pp. 132–141. Springer, Heidelberg (2010) 38 E. L. Tr¨ aff 4. : Applying MPI derived datatypes to the NAS benchmarks: A case study. In: 33rd International Conference on Parallel Processing Workshops (ICPP 2004 Workshops), pp. 538–545 (2004) 5. MPI Forum. MPI: A Message-Passing Interface Standard. org 6. : Elemental: A new framework for distributed memory dense matrix computations.
In Section 3 we benchmark the implementations and compare the performance to straightforward, hand-coded implementations not using derived datatypes. 1 Gathering/Scattering Column-Wise Matrices In the first example, we assume that the matrix is distributed roughly evenly, column-wise over the p processes, such that each process stores either n/p or n/p consecutive columns, that is either an n × n/p or an n × n/p matrix. Assume that a root process has to collect the full matrix from the distributed columns or, conversely, initially has the full matrix and has to distribute the columns to the other processes.