Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers
complete coverage of modern distributed computing technology including clusters, the grid …

In this work, we present a survey of the different parallel programming models and tools
available today with special consideration to their suitability for high-performance …

Task-based programming models for shared memory—such as Cilk Plus and OpenMP 3—
are well established and documented. However, with the increase in parallel, many-core …

Automatic parallelization of sequential programs combined with auto-tuning is an alternative
to manual parallelization. With wider research directions and the increased number of …

Heterogeneous systems provide new opportunities to increase the performance of parallel
applications on clusters with CPU and GPU architectures. Currently, applications that utilize …

Context: Software developers face complex, connected, and large software projects. The
development of such systems involves design decisions that directly impact the quality of the …

A non-ideal iris segmentation approach using graph cuts is presented. Unlike many existing
algorithms for iris localization which extensively utilize eye geometry, the proposed …

The adoption of open-source operating systems for the execution of real-time applications is
gaining popularity, even in the networked control systems domain, due to cost and flexibility …

Compute Unified Device Architecture (CUDA) programmed, Graphic Processing Units
(GPUs) are rapidly becoming a major choice in high performance computing. Hence, the …

Heterogeneous architectures are increasingly common in modern High-Performance
Computing (HPC) systems. Achieving high-performance on such heterogeneous systems …