x=gpuArray(x); t_transfer2gpu=toc wait(gpuDevice); tic for k=0:1:N-1 msdx2(k+1) = mean((x(k+1:end)-x(1:end-k)).^2); end wait(gpuDevice); t_gpu=toc %%%my output for computational time on CPU and GPU is as following Elapsed ...
Ribeiro et al., " Exploiting Run Time Distributions to Compare Sequential and Parallel Stochastic Local Search Algorithms, " 2009, MIC 2009: The VIII Metaheuristics International Conference; Hamburg, Germany, 52 pages.C.C. Ribeiro, I. Rosseti, and R. Vallejos. Exploiting run time distributions ...
There are the arrays A and R of size n each. The ith entry of the array A consists of two fields: the field c keeps a count of the number of compare-and-swap operations executed by the process i, the field val is used to store or announce the second argument of the compare-and-...
theSOMmap must reside is GPU’s memory and be modified there, as it receives inputs read from the input file and transferred to the GPU. A close analysis toAlgorithm #1will unveil several massively parallel computations, such as the ones that are performed for all the vectors of the matrix...
Listing 1 shows an example of a simple MPI program that prints out the process ID of each process and then sends an array of integers from process 0 to process 1. The great strength of the MPI model is that it maps well to a broad range of parallel systems in use today. While there...
Kasianowicz and Church to develop this technology, has announced plans to have a beta test instrument available by the end of 2013 and a commercial product by 2014. The company fabricates its sequencers out of disposable computer chips, building a massively-parallel nanopore array automatically at...
1. SPARC: Java's CAS edge, the first study on the impact of contention management algorithms on the efficiency of the CAS operation. We implemented several Java classes that extend Java's AtomicReference class, and encapsulate calls to native CAS by contention management classes. This design ...
are described to provide dynamic load balancing among the threads. Contention is resolved by using atomic instructions. The heap is broken into a young and an old generation where parallel semi-space copying is used to collect the young generation and parallel mark-compacting the old generation. ...
Luchangco, et al., “Nonblocking k-compare-single-swap,” Proceedings of the 15th Annual ACM Symposium on Parallel Algorithms and Architectures, pp. 314-323, ACM Press, 2003. Michael, et al., “Safe Memory Reclamation for Dynamic Lock-Free Objects Using Atomic Reads and Writes,” Proceedin...
are described to provide dynamic load balancing among the threads. Contention is resolved by using atomic instructions. The heap is broken into a young and an old generation where parallel semi-space copying is used to collect the young generation and parallel mark-compacting the old generation. ...