In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Parallel processing using multiple processors is a well-established technique to accelerate many different classes of applications. However, as the density of chips increases, ano...
Abstract. The technique of flattening nested data parallelism combines all the independent operations in nested apply-to-all constructs and generates large amounts of potential pa...
Daniel W. Palmer, Jan Prins, Siddhartha Chatterjee...
The use of tuned collective’s module of Open MPI to improve a parallelization efficiency of parallel batch pattern back propagation training algorithm of a multilayer perceptron...
Volodymyr Turchenko, Lucio Grandinetti, George Bos...
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...