Hadoop Distributed File System (HDFS) acts as the primary storage of Hadoop and has
been adopted by reputed organizations (Facebook, Yahoo! etc.) due to its portability and …

The growth in the number of generally available, distributed, heterogeneous computing
systems places increasing importance on the development of user-friendly tools that enable …

Advances in networks, accelerators, and cloud services encourage programmers to
reconsider where to compute---such as when fast networks make it cost-effective to compute …

An analytical overview of the state of the art, open problems, and future trends in
heterogeneous parallel and distributed computing This book provides an overview of the …

The performance of collective communication operations determines the overall
performance of MPI applications. Different algorithms have been developed and …

This paper introduces FLEX-MPI, a novel runtime approach for the dynamic load balancing
of MPI-based SPMD applications running on heterogeneous platforms in the presence of …

Advances in sensor technology are revolutionizing the way remotely sensed data is
collected, managed and analyzed. The incorporation of latest-generation sensors to …

With the slowdown of Moore's law and the stop of Dennard scaling, energy efficiency of
compute hardware translates to compute power. Therefore, High-Performance Computing …

Hardware-aware design and optimization is crucial in exploiting emerging architectures for
PDE-based computational fluid dynamics applications. In this work, we study optimizations …

Parallel computing in heterogeneous environments is drawing considerable attention due to
the growing number of these kind of systems. Adapting existing code and libraries to such …