Computer systems increasingly rely on heterogeneity to achieve greater performance,
scalability and energy efficiency. Because heterogeneous systems typically comprise …

This book is intended for researchers and practitioners as a foundation for modern parallel
computing with several of its important parallel applications, and also for students as a basic …

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 …

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 …

We present an OpenMP framework for Java that can exploit an available graphics card as
an application accelerator. Dynamic languages (Java, C#, etc.) pose a challenge here …

Incremental parallelism is an uncomplicated and expressive parallelisation practice and has
led to wide adoption of OpenMP. However, the OpenMP specification does not present a …

The growing use of Big Data frameworks on large machines highlights the importance of
performance issues and the value of High Performance Computing (HPC) technology. This …

Programmers today face a bewildering array of parallel programming models and tools,
making it difficult to choose an appropriate one for each application. An increasingly popular …

. We present the parallel particle filtering (PPF) software library, which enables hybrid
shared-memory/distributed-memory parallelization of particle filtering (PF) algorithms …

The popularity of the handheld systems (smartphones, tablets,...) and their computational
capability open new challenges in terms of the efficient use of such devices. The …