Book Description

It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You’ll learn the basics of Snow, Multicore, Parallel, and some Hadoop-related tools, including how to find them, how to use them, when they work well, and when they don’t.

With these packages, you can overcome R’s single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R’s memory barrier.

• Snow: works well in a traditional cluster environment
• Multicore: popular for multiprocessor and multicore computers
• Parallel: part of the upcoming R 2.14.0 release
• R+Hadoop: provides low-level access to a popular form of cluster computing
• RHIPE: uses Hadoop’s power with R’s language and interactive shell Read More ...

Book Description

Your hands-on, step-by-step guide to the fundamentals of parallel programming

Teach yourself how to help improve application performance by using parallel programming techniques in Visual Studio 2010—one step at a time. Ideal for experienced programmers with little or no parallel programming experience, this tutorial provides practical, learn-by-doing exercises for creating applications that optimize the use of multicore processors.

Discover how to:

• Apply techniques to help increase your application’s speed and efficiency
• Simplify the process of adding parallelism with the Task Parallel Library (TPL)
• Execute several tasks concurrently with various scheduling techniques
• Perform data queries in parallel with PLINQ
• Use concurrent collections in Microsoft .NET Framework 4 for data items
• Extend classes in the TPL to meet the specific requirements of your application Read More ...

Book Description

XenApp 6 is the leader in application hosting and virtualization delivery, allowing users from different platforms such Windows, Mac, Linux, and mobile devices to connect to their business applications. It reduces resources and costs for application distribution and management. Using Citrix XenApp 6, you can deploy secure applications quickly to thousands of users.

Getting Started with Citrix XenApp 6 provides comprehensive details on how to design, implement, and maintain Citrix farms based on XenApp 6. Additionally, you will learn to use management tools and scripts for daily tasks such as managing servers, published resources, printers, and connections.

Getting Started with Citrix XenApp 6 starts by introducing the basics of XenApp such as installing servers and configuring components, and then teaches you how to publish applications and resources on the client device before moving on to configuring content redirection. Author Guillermo Musumeci includes a use case Read More ...

Book Description

Details a real-world product that applies a cutting-edge multi-core architecture

Increasingly demanding modern applications—such as those used in telecommunications networking and real-time processing of audio, video, and multimedia streams—require multiple processors to achieve computational performance at the rate of a few giga-operations per second. This necessity for speed and manageable power consumption makes it likely that the next generation of embedded processing systems will include hundreds of cores, while being increasingly programmable, blending processors and configurable hardware in a power-efficient manner.

Multi-Core Embedded Systems presents a variety of perspectives that elucidate the technical challenges associated with such increased integration of homogeneous (processors) and heterogeneous multiple cores. It offers an analysis that industry engineers and professionals will need to understand the physical details of both software and hardware in embedded architectures, as well as Read More ...

Book Description

There is a software gap between the hardware potential and the performance that can be attained using today’s software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application.

From the Back Cover
A balanced overview of the techniques used to design and program parallel computers

There is a software gap between parallel computers and programmers’ abilities to program such computers. Programming a parallel computer requires closely studying the target algorithm or application, more so than in traditional sequential Read More ...

Book Description

The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial performance challenges for developers, including scalability, software tuning, and programming issues.

Researchers at the Forefront Reveal Results from Their Own State-of-the-Art Work
Edited by some of the top researchers in the field and with contributions from a variety of international experts, Scientific Computing with Multicore and Accelerators focuses on the architectural design and implementation of multicore and manycore processors and accelerators, including graphics processing units (GPUs) and the Sony Toshiba IBM (STI) Cell Broadband Engine (BE) currently used in the Sony Read More ...