In this age of big data, analyzing big data is a very challenging problem. MapReduce is a
simple, scalable and fault-tolerant data processing framework that enables us to process a …

The rising interest in Java for High Performance Computing (HPC) is based on the
appealing features of this language for programming multi-core cluster architectures …

In this era of big data, analyzing large scale data efficiently and accurately has become a
challenging problem. As one of the ELM variants, online sequential extreme learning …

The spectral information system SPECCHIO was updated to support the generic handling of
uncertainty information in the form of uncertainty tree diagrams. The updates involve …

Major breakthroughs in chip and software design have been observed for the last nine
years. In October 2001, IBM released the world's first multicore processor: POWER4. Six …

The calibration of remote sensing instruments is a crucial step in the generation of products
tied to international reference standards. Calibrating imaging spectrometers is particularly …

In this era of big data, stream data classification which is one of typical data stream
applications has become more and more significant and challengeable. In these …

Google BigTable's scale-out design for distributed key-value storage inspired a generation
of NoSQL databases. Recently the NewSQL paradigm emerged in response to analytic …

Many software development projects use work items such as tasks or bug reports to
describe the work to be done. Some projects allow end-users or clients to enter new work …

We present the implementation of a new molecular mechanics program designed for use in
mobile platforms, the first specifically built for these devices. The software is designed to run …