Parallel hardware has been ubiquitous for some time now. It’s difficult to find a laptop,
desktop, or server that doesn’t use a multicore processor. Beowulf clusters are
nearly as common today as high-powered workstations were during the 1990s, and
cloud computing could make distributed-memory systems as accessible as...
The professional's one-stop guide to this open-source, Java-based big data framework
Professional Hadoop is the complete reference and resource for experienced developers looking to employ Apache Hadoop in real-world settings. Written by an expert team of certified Hadoop developers, committers, and Summit...
Many electrical and computer engineering projects involve some kind of embedded system in which a microcontroller sits at the center as the primary source of control.
The recently-developed Arduino development platform includes an inexpensive hardware development board hosting an eight-bit ATMEL ATmega-family processor...
This work introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix...
Build GPU-accelerated high performing applications with Python 2.7, CUDA 9, and open source libraries such as PyCUDA and scikit-cuda. We recommend the use of Python 2.7 as this version has stable support across all libraries used in this book.
The topic of interprocess communication techniques is broad, challenging and dynamic. All but the most basic operating systems provide methods for processes communication. Early on, UNIX supported a number of rudimentary process communication constructs (such as lock files, signals and pipes). In the early 1980s, facilities such...
