An extension for the differential evolution algorithm is proposed for handling nonlinear
constraint functions. In comparison with the original algorithm, only the replacement criterion …

We present Cumulon, a system designed to help users rapidly develop and intelligently
deploy matrix-based big-data analysis programs in the cloud. Cumulon features a flexible …

We present the work on automatic parallelization of array-oriented programs for multi-core
machines. Source programs written in standard APL are translated by a parallelizing APL-to …

We demonstrate the utility of massively parallel computational infrastructure for statistical
computing using the MapReduce paradigm for R. This framework allows users to write …

There is no doubt that assistive systems are and will be a great part of our everyday lives.
Thus, it is not suprising that in recent years researchers all over the world have been putting …

Current genomic analyses often require the managing and comparison of big data using
desktop bioinformatic software that was not developed regarding multicore distribution. The …

In a typical MapReduce job, each map task processing one piece of the input file. If two input
matrices are stored in separate HDFS files, one map task would not be able to access the …

The use of GPUs for accelerating parallel applications is a consolidated approach. However,
it is still difficult to write applications for this type of hardware, which is mostly done in …

Dynamically typed vector languages are popular in data analytics and statistical computing.
In these languages, vectors have both dynamic type and dynamic length, making static …

Es ist kein Geheimnis, dass in den letzten Jahren in der Entwicklung und Forschung
unterschiedlichster Bereiche ein enormer Anstieg an genutzten Datenmengen zu …