Absorbing Diagonal AlgorithmIn this paper, a scalable parallel eigen-solver called parallel absorbing diagonal algorithm (parallel ADA) is proposed. This algorithm is of significantly improved parallel complexit
First, we construct a strong classifier by assembling the outputs of 15BP neural networks (which are individually regarded as weak classifiers) based on the Adaboost algorithm. Second, we design Map and Reduce tasks for both the parallel Adaboost-BP neural network and the feature extraction ...
o Added support for Elastic net algorithm and Classification probabilities for Decision Forest algorithm in daal4py. • Intel® Fortran Compiler: o Bug fixes. • Intel® Inspector: o Bug fixes. • Intel® Integrated Performance Primitives: o Extended ippsFIRSparse_32fc algorithm. o ...
Neural network training algorithmQR decompositionGivens rotationThe paper describes a parallel feed-forward neural network training algorithm based on the QR decomposition with the use of the Givens rotation. The beginning brings a brief mathematical background......
parallel processingperformancepersonal computerscomputersAn Alternating Sequential-Parallel system is described. It is shown that it can be implemented on a LAN and programmed in Ada. A modification of the binary search algorithm shows a reasonable speedup. ASP also provides good fault detection and ...
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// You might limit the degree of parallelism when your algorithm // does not scale beyond a certain number of cores or when you // enforce a particular quality of service in your application. Parallel.For(0, N, new ParallelOptions { MaxDegreeOfParallelism = ...
Protein probabilities were assigned by the Protein Prophet algorithm.92 TMT MS3 reporter ion intensity values are analyzed for changes in total protein using the unenriched lysate sample. Phospho(STY) modifications are identified using the samples enriched for phosphorylated peptides. The enriched and ...
ADAWe describe a parallel theorem prover based on the Argonne theorem-proving system OTTER. The parallel system, called Roo, runs on shared-memory multiprocessors such as the Sequent Symmetry. We explain the parallel algorithm used and give performance results that demonstrate near-linear speedups on...
First, we construct a strong classifier by assembling the outputs of 15 BP neural networks (which are individually regarded as weak classifiers) based on the Adaboost algorithm. Second, we design Map and Reduce tasks for both the parallel Adaboost-BP neural network and the feature extraction ...