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...

Extensively updated and revised, this is the definitive real-world guide to planning, deploying, and managing VMware ESX Server 3.5,...

Often computers are viewed as machines that run algorithms. This view of computers covers a vast range of devices, from simple computers that perform limited and specific computations (for example, a computer found in a wristwatch) to supercomputers, which are groups of computers linked together in homogeneous and heterogeneous clusters and...

SOA, in practicality web services, is becoming the enabler for application integration. Since the introduction of web services, Apache Software Foundation has played a major role and produced several good web services frameworks. This book covers the defector Java Web Service framework, also known as Apache Axis2. This book covers several...

Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...

Let’s just look it right in the eye and call it out. We in the IT industries have been barraged with the buzzwords over and over again since we rolled into the new millennium: the transition to utility computing, or grid computing, or cloud computing (depending on the source/exact month/position of the stars in the sky). We’ve...

For a quantitative understanding of the physics of the universe - from the solar system through the milky way to clusters of galaxies all the way to cosmology - these edited lecture notes are perhaps among the most concise and also among the most critical ones: Astrophysics has not yet stood the redundancy test of laboratory physics, hence...

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation...

This volume presents recent advances in computational fluid dynamics. The topics range from fundamentals and computational techniques to a wide variety of applications in astronomy, applied mathematics and meteorology. They describe recent calculations in direct numerical simulation of turbulence, applications of turbulence modelling of...

Protect your databases from hardware, software, and operator failures using the detailed information in this Oracle Press guide. Oracle RMAN 11g Backup and Recovery explains how to configure databases, generate accurate archives, and carry out system restores. Work from the command line or...

In 2011 many computer users were exploring the opportunities and the benefits of the massive parallelism offered by heterogeneous computing. In 2000 the Khronos Group, a not-for-profit industry consortium, was founded to create standard open APIs for parallel computing, graphics and dynamic media. Among them has been OpenCL, an open system...