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Programming Books 06 Parallel Computing (26 Books)

Programming Books 06 Parallel Computing (26 Books)
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Programming Books 06 Parallel Computing (26 Books).

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Algorithms and Parallel Computing

Book DescriptionB
There is a software gap between the hardware potential and the performance that can be attained using today抯 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 programming. Today抯 programmer must be aware of the communication and data dependencies of the algorithm or application; yet, programmers do not have the tools to help them implement an algorithm on a parallel computer platform. This book provides the techniques necessary to explore parallelism in algorithms, serial as well as iterative. It shows how to systematically design special-purpose parallel processing structures to implement algorithms.

The book begins by explaining how to classify an algorithm, and then identifying which technique would be appropriate to implement the application on a parallel platform. It provides techniques for studying and analyzing several types of algorithms梡arallel, serial-parallel, non-serial-parallel, and regular iterative algorithms. New techniques for extracting parallelism and controlling thread workload are shown for the first time, such as z-transform, graphic, algebraic, and nonlinear workload specification for the threads. Also featured in the book:

A review of algorithms and how to parallelize each algorithm category
Ten case studies, detailed in separate chapters, that address implementing parallel algorithms on multithreaded parallel computers and developing special-purpose parallel machines
A chapter dedicated to enhancing single processor performance
End-of-chapter problems (solutions and lecture notes are available)
Algorithms and Parallel Computing is intended for application developers, researchers, and graduate students and seniors in computer engineering, electrical engineering, and computer science. Software developers and major computer manufacturers will also find the material highly beneficial.

Book Details
Hardcover: 364 pages
Publisher: Wiley (April 2011)
Language: English
ISBN-10: 0470902108
ISBN-13: 978-0470902103

Book Description
Capitalize on the faster GPU processors in today抯 computers with the C++ AMP code library梐nd bring massive parallelism to your project. With this practical book, experienced C++ developers will learn parallel programming fundamentals with C++ AMP through detailed examples, code snippets, and case studies. Learn the advantages of parallelism and get best practices for harnessing this technology in your applications.

Discover how to:

Gain greater code performance using graphics processing units (GPUs)
Choose accelerators that enable you to write code for GPUs
Apply thread tiles, tile barriers, and tile static memory
Debug C++ AMP code with Microsoft Visual Studio?br />Use profiling tools to track the performance of your code

Table of Contents
Chapter 1. Overview and C++ AMP Approach
Chapter 2. NBody Case Study
Chapter 3. C++ AMP Fundamentals
Chapter 4. Tiling
Chapter 5. Tiled NBody Case Study
Chapter 6. Debugging
Chapter 7. Optimization
Chapter 8. Performance Case Study桼eduction
Chapter 9. Working with Multiple Accelerators
Chapter 10. Cartoonizer Case Study
Chapter 11. Graphics Interop
Chapter 12. Tips, Tricks, and Best Practices

Book Details
Paperback: 358 pages
Publisher: Microsoft Press (September 2012)
Language: English
ISBN-10: 0735664730
ISBN-13: 978-0735664739

Book Description
This book assumes familiarity with threads (in a language such as Ada, C#, or Java) and introduces the entity-life modeling (ELM) design approach for certain kinds of multithreaded software. ELM focuses on 搑eactive systems,?which continuously interact with the problem environment. These 搑eactive systems?include embedded systems, as well as such interactive systems as cruise controllers and automated teller machines.

Part I covers two fundamentals: program-language thread support and state diagramming. These are necessary for understanding ELM and are provided primarily for reference. Part II covers ELM from different angles. Part III positions ELM relative to other design approaches.

From the Back Cover
揃o Sanden has written a splendid book that should be read by every developer of systems that interact with the real world. The multi-threading theme that gives the book its title treats the identification and design of individual threads梩hat is, of concurrent processes梐nd the synchronisation and control of their interactions at common entities. The book succeeds excellently in this difficult area, expounding patterns of thread interaction that clarify both the problems they address and the solutions they offer.?br />桵ichael A. Jackson, from the Foreword

A novel approach to designing software for reactive systems

This book is the first available in-depth introduction to the cutting-edge entity-life modeling (ELM) approach for the design of multithreaded, reactive software, making it an instant authoritative reference. The text is divided into three parts:

Part I covers two fundamentals necessary for understanding ELM梡rogram-language thread support in Ada and Java, and state modeling
Part II describes ELM抯 unique approach
Part III positions ELM relative to other design approaches
Reactive software must respond to events in the world as they occur. To deal with this, ELM defines an event thread as a series of event occurrences that are separated in time. As the book reveals, event threads become the basis for software threads, leading to thread architectures that can be understood intuitively in problem-domain terms. Readers will discover how ELM captures the logic of event threads in terms of states, providing two patterns for designing software threads based on state diagrams and their activities.

Event threads in the domain can also form patterns. The text explains how ELM identifies the resource-user-thread pattern and the resource-guard-thread pattern, both addressing resource sharing by multiple domain entities. It also covers the case where entities need simultaneous exclusive access to more than one resource, and shows how ELM deals with deadlock prevention.

Design of Multithreaded Software is intended for software designers, architects, and researchers as well as systems designers, programmers, and engineers interested in a practical account of this novel approach.

Book Details
Hardcover: 320 pages
Publisher: Wiley-IEEE Computer Society Press (March 2011)
Language: English
ISBN-10: 047087659X
ISBN-13: 978-0470876596

Book Description
Techniques for Optimizing Multiprocessor Implementations of Signal Processing Applications

An indispensable component of the information age, signal processing is embedded in a variety of consumer devices, including cell phones and digital television, as well as in communication infrastructure, such as media servers and cellular base stations. Multiple programmable processors, along with custom hardware running in parallel, are needed to achieve the computation throughput required of such applications.

Reviews important research in key areas related to the multiprocessor implementation of multimedia systems
Embedded Multiprocessors: Scheduling and Synchronization, Second Edition presents architectures and design methodologies for parallel systems in embedded digital signal processing (DSP) applications. It discusses application modeling techniques for multimedia systems, the incorporation of interprocessor communication costs into multiprocessor scheduling decisions, and a modeling methodology (the synchronization graph) for multiprocessor system performance analysis. The book also applies the synchronization graph model to develop hardware and software optimizations that can significantly reduce the interprocessor communication overhead of a given schedule.

Chronicles recent activity dealing with single-chip multiprocessors and dataflow models
This edition updates the background material on existing embedded multiprocessors, including single-chip multiprocessors. It also summarizes the new research on dataflow models for signal processing that has been carried out since the publication of the first edition.

Harness the power of multiprocessors
This book explores the optimization of interprocessor communication and synchronization in embedded multiprocessor systems. It shows you how to design multiprocessor computer systems that are streamlined for multimedia applications.

Features

Focuses on multiprocessor implementations of signal processing applications specified as dataflow graphs
Describes unique techniques for optimizing communication and synchronization
Integrates arbitrary scheduling strategies with alternative optimization algorithms to address specific subproblems associated with implementing a given schedule
Provides several examples of practical applications that demonstrate the relevance of the techniques described

Book Details
Hardcover: 380 pages
Publisher: CRC Press; 2nd Edition (February 2009)
Language: English
ISBN-10: 1420048015
ISBN-13: 978-1420048018

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 throughout the book to explain advanced topics like creating management scripts and deploying and optimizing XenApp for Citrix XenServer, VMware ESX, and Microsoft Hyper-V virtual machines. It will guide you through an unattended installation of XenApp and components on physical servers. By the end of this book you will have enough knowledge to successfully design and manage your own XenApp 6 Farms.

A complete guide to managing a virtualized application environment using XenApp.

What you will learn from this book :

New features and system requirements of XenApp 6
The XenApp Architecture and designing XenApp 6 Farms
Install XenApp 6 and configure XenApp 6 components
Manage XenApp components and Citrix Administrators using the new Citrix Delivery Services Console and other Management tools
Publish and manage applications and resources, including application streaming
Create and apply Citrix Policies to control connections, security, and bandwidth settings using the Group Policy Management Console, Citrix Delivery Services Console, and Local Group Policy Editor.
Optimize multimedia content on XenApp using Citrix HDX technologies
Manage session environments and connections
Secure, optimize and monitor XenApp Farms
Deploy XenApp 6 on Citrix XenServer, Microsoft Hyper-V, and VMware ESX virtual machines
Unattended installation of XenApp 6 on physical servers.

Approach
This book has a tutorial style with step-by-step instructions and adequate screenshots for carrying out each task.

Who this book is written for
If you are a system administrator or consultant who wants to implement and administer Citrix XenApp 6 farms, then this book is for you. This book will help both new and experienced XenApp professionals to deliver virtualized applications.

Book Details
Paperback: 444 pages
Publisher: Packt Publishing (June 2011)
Language: English
ISBN-10: 1849681287
ISBN-13: 978-1849681285

Book Description
If you抳e been asked to maintain large and complex Hadoop clusters, this book is a must. Demand for operations-specific material has skyrocketed now that Hadoop is becoming the de facto standard for truly large-scale data processing in the data center. Eric Sammer, Principal Solution Architect at Cloudera, shows you the particulars of running Hadoop in production, from planning, installing, and configuring the system to providing ongoing maintenance.

Rather than run through all possible scenarios, this pragmatic operations guide calls out what works, as demonstrated in critical deployments.

Get a high-level overview of HDFS and MapReduce: why they exist and how they work
Plan a Hadoop deployment, from hardware and OS selection to network requirements
Learn setup and configuration details with a list of critical properties
Manage resources by sharing a cluster across multiple groups
Get a runbook of the most common cluster maintenance tasks
Monitor Hadoop clusters梐nd learn troubleshooting with the help of real-world war stories
Use basic tools and techniques to handle backup and catastrophic failure

Table of Contents
Chapter 1. Introduction
Chapter 2. HDFS
Chapter 3. MapReduce
Chapter 4. Planning a Hadoop Cluster
Chapter 5. Installation and Configuration
Chapter 6. Identity, Authentication, and Authorization
Chapter 7. Resource Management
Chapter 8. Cluster Maintenance
Chapter 9. Troubleshooting
Chapter 10. Monitoring
Chapter 11. Backup and Recovery

Book Details
Paperback: 298 pages
Publisher: O扲eilly Media (September 2012)
Language: English
ISBN-10: 1449327052
ISBN-13: 978-1449327057

Book Description
Your Complete Example-Rich Guide to Using and Extending LINQ to Objects and PLINQ

Using LINQ to Objects, .NET developers can write queries over object collections with the same deep functionality that was once available only with SQL and relational databases. Now, for the first time, developers have a comprehensive and authoritative guide to applying LINQ to Objects in real-world software. Microsoft MVP Troy Magennis introduces state-of-the-art techniques for working with in-memory collections more elegantly and efficiently梐nd writing code that is exceptionally powerful, robust, and flexible.

Drawing on his unsurpassed experience coding software using LINQ and hosting the popular HookedOnLINQ.com site, Magennis presents timely, realistic solutions to a wide spectrum of development challenges, such as combining data from multiple sources, and achieving optimal performance with extremely large sets of data. You抣l begin with brief quick-starts that walk you through LINQ to Objects?key features and query syntax. Next, you抣l drill down to detailed techniques for applying and extending these features with C# 4.0 and C# 3.0梚ncluding code examples that reflect the realities of production development.

Coverage includes
? Writing basic LINQ queries with C#: filtering, projecting, and sorting data from in-memory collections
? Mastering advanced techniques for grouping and joining data and understanding the performance implications of each technique
? Taking full advantage of LINQ抯 standard query operators
? Creating custom query operators that follow best practices for coding patterns and error handling
? Writing more fluent, readable LINQ queries with C# 4.0抯 language enhancements, including the new dynamic features
? Combining LINQ with COM-Interop to access data sources such as Microsoft Excel
? Using Parallel LINQ to Objects (PLINQ) to optimize queries for multi-core processors, and how to build custom parallel query operators
? Integrating the best LINQ to Objects patterns into your day-to-day coding

About the Author
Troy Magennis is a Microsoft C# MVP and a keen traveler who currently works for Travelocity, which manages the travel and leisure websites travelocity.com, lastminute.com, and zuji. As Vice President of Architecture, he leads a talented team of architects spread across four continents, committed to being the traveler抯 champion. Technology has always been a passion. After cutting his teeth on early 8-bit personal computers, Troy moved into electronic engineering (assembly language coding), which later led to positions in software application development and architecture for some of the most prominent corporations in automotive, banking, and online commerce. Troy抯 first exposure to LINQ was in 2006 when he took a sabbatical to learn it and became hooked, ultimately leading him to publish the popular HookedOnLINQ website.

Book Details
Paperback: 336 pages
Publisher: Addison-Wesley Professional; 1 Pap/Pas edition (March 12, 2010)
Language: English
ISBN-10: 0321637003
ISBN-13: 978-0321637000

Book Description
The Linux Enterprise Cluster explains how to take a number of inexpensive computers with limited resources, place them on a normal computer network, and install free software so that the computers act together like one powerful server. This makes it possible to build a very inexpensive and reliable business system for a small business or a large corporation. The book includes information on how to build a high-availability server pair using the Heartbeat package, how to use the Linux Virtual Server load balancing software, how to configure a reliable printing system in a Linux cluster environment, and how to build a job scheduling system in Linux with no single point of failure. The book also includes information on high availability techniques that can be used with or without a cluster, making it helpful for System Administrators even if they are not building a cluster. Anyone interested in deploying Linux in an environment where low cost computer reliability is important will find this book useful.

The CD-ROM includes the Linux kernel, ldirectord software, the Mon monitoring package, the Ganglia package, OpenSSH, rsync, SystemImager, Heartbeat, and all the figures and illustrations used in the book.

Table of Contents
PART ONE: INTRODUCTION TO THE LINUX SERVER
Chapter 1. Starting the Services
Chapter 2. Handling the Packets
Chapter 3. Compiling the Kernel

PART TWO: HIGH AVAILABILITY LINUX
Chapter 4. Synchronizing Servers with Rsync and SSH
Chapter 5. Cloning Systems with SystemImager
Chapter 6. Heartbeat Introduction and Theory
Chapter 7. A Sample Heartbeat Configuration
Chapter 8. Heartbeat Resources and Maintenance
Chapter 9. Stonith and Ipfail

PART THREE: CLUSTER THEORY AND PRACTICE
Chapter 10. The Ideal Cluster
Chapter 11. The Linux Virtual Server Introduction and Theory
Chapter 12. The Linux Virtual Server Network Address Translation Cluster
Chapter 13. The Linux Virtual Server Direct Routing Cluster
Chapter 14. LVS and Netfilter
Chapter 15. The High Availability Cluster
Chapter 16. The Cluster File System

PART FOUR: MAINTENANCE AND MONITORING
Chapter 17. Simple Network Management Protocol and Mon
Chapter 18. Batch Job Scheduling with Ganglia
Chapter 19. Cluster Maintenance and Operation
Chapter 20. Architecture of the Linux Enterprise. A Pictography Glossary

APPENDICES
Appendix A. Downloading Software
Appendix B. Introduction to VI
Appendix C. Tcpdump
Appendix D. Adding Network Interface Cards to Your System
Appendix E. Compiling Heartbeat from CVS
Appendix F. Compiling and Installing the Perl SNMP Package
Appendix G. Sample Mon Init Script for Red Hat
Appendix H. Kernel Options

Book Details
Paperback: 464 pages
Publisher: No Starch Press (May 2005)
Language: English
ISBN-10: 1593270364
ISBN-13: 978-1593270360

Book Description
Write High-Performance, Highly Scalable Multicore Applications for Leading Platforms

Multicore Application Programming is a comprehensive, practical guide to high-performance multicore programming that any experienced developer can use.

Author Darryl Gove covers the leading approaches to parallelization on Windows, Linux, and Oracle Solaris. Through practical examples, he illuminates the challenges involved in writing applications that fully utilize multicore processors, helping you produce applications that are functionally correct, offer superior performance, and scale well to eight cores, sixteen cores, and beyond.

The book reveals how specific hardware implementations impact application performance and shows how to avoid common pitfalls. Step by step, you抣l write applications that can handle large numbers of parallel threads, and you抣l master advanced parallelization techniques. You抣l learn how to

Identify your best opportunities to use parallelism
Share data safely between multiple threads
Write applications using POSIX or Windows threads
Hand-code synchronization and sharing
Take advantage of automatic parallelization and OpenMP
Overcome common obstacles to scaling
Apply new approaches to writing correct, fast, scalable parallel code
Multicore Application Programming isn抰 wedded to a single approach or platform: It is for every experienced C programmer working with any contemporary multicore processor in any leading operating system environment.

About the Author
Darryl Gove is a senior principal software engineer in the Oracle Solaris Studio compiler team. He works on the analysis, parallelization, and optimization of both applications and benchmarks. Darryl has a master抯 degree and a doctorate in operational research from the University of Southampton, UK. He is the author of the books Solaris Application Programming (Prentice Hall, 2008) and The Developer抯 Edge (Sun Microsystems, 2009). He writes regularly about optimization and coding and maintains a blog at www.darrylgove.com.

Book Details
Paperback: 480 pages
Publisher: Addison-Wesley Professional (October, 2010)
Language: English
ISBN-10: 0321711378
ISBN-13: 978-0321711373

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

Increasingly demanding modern applications梥uch as those used in telecommunications networking and real-time processing of audio, video, and multimedia streams梤equire 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 their limitations and potential for future growth.

Discusses the available programming models spread across different abstraction levels

The book begins with an overview of the evolution of multiprocessor architectures for embedded applications and discusses techniques for autonomous power management of system-level parameters. It addresses the use of existing open-source (and free) tools originating from several application domains梥uch as traffic modeling, graph theory, parallel computing and network simulation. In addition, the authors cover other important topics associated with multi-core embedded systems, such as:

Architectures and interconnects
Embedded design methodologies
Mapping of applications
Programming paradigms and models of computation
Power optimization and reliability issues
Performance tools and benchmarks
Resource management
Multithreading
Multi-core programming challenges
Compiler and operating system support
This is a detailed discussion of research on the interaction between multi-core systems, applications and software views, and processor configuration and extension, which add a new dimension to the problem space. The text offers a useful overview of the most widespread industrial and domain-specific solutions, providing several examples of working implementations.

Book Details
Hardcover: 501 pages
Publisher: CRC Press (April 2010)
Language: English
ISBN-10: 9781439811610
ISBN-13: 978-1439811610

Book Description
Focusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel numerical algorithms. Each chapter contains a theoretical discussion of the topic, an algorithmic section that fully details implementation examples and specific algorithms, and an evaluation of the advantages and drawbacks of the algorithms. Several exercises also appear at the end of most chapters.

The first two chapters introduce the general features of sequential iterative algorithms and their applications to numerical problems. The book then describes different kinds of parallel systems and parallel iterative algorithms. It goes on to address both linear and nonlinear parallel synchronous and asynchronous iterative algorithms for numerical computation, with an emphasis on the multisplitting approach. The final chapter discusses the features required for efficient implementation of asynchronous iterative algorithms.

Providing the theoretical and practical knowledge needed to design and implement efficient parallel iterative algorithms, this book illustrates how to apply these algorithms to solve linear and nonlinear numerical problems in parallel environments, including local, distant, homogeneous, and heterogeneous clusters.

Review
In Parallel Iterative Algorithms: From Sequential to Grid Computing, Bahi, Contassot-Vivier, and Couturier bring mathematical formalism to the study of parallel iterative solution techniques, creating a book that will be useful to those with a strong maths background who are making the transition into parallel scientific computing. ?a great fit as a part of a graduate-level course on scientific computing in the math department, or for those already in scientific computing seeking to understand the key mathematical foundations of the analysis of iterative techniques. ?The authors execute their mission well, making sure that they treat the mathematical theory of each method in just enough detail to be complete. ?The combination of the theory and the implementation is valuable, and I found it illuminating to revisit algorithms I only knew at an implementation level from the mathematical perspective and to understand the reasons behind behaviors I had always taken as given. ?a nice addition to your HPC bookshelf in that it brings a strong focus on mathematical formalism, which is often lacking in more computing-oriented approaches to numerical methods. ?the book is loaded with citations, and readers looking for a different point of view or for more in depth material on a particular point will find a wealth of pointers to the literature.
桱ohn West, HPCwire, February 2009

Book Details
Hardcover: 240 pages
Publisher: Chapman & Hall/CRC (November 28, 2007)
Language: English
ISBN-10: 1584888083
ISBN-13: 978-1584888086

Book Description
Optimize code for multi-core processors with Intel抯 Parallel Studio

Parallel programming is rapidly becoming a ?ust-know?skill for developers. Yet, where to start? This teach-yourself tutorial is an ideal starting point for developers who already know Windows C and C++ and are eager to add parallelism to their code. With a focus on applying tools, techniques, and language extensions to implement parallelism, this essential resource teaches you how to write programs for multicore and leverage the power of multicore in your programs. Sharing hands-on case studies and real-world examples, the authors examine the challenges of each project and show you how to overcome them.

Explores conversion of serial code to parallel
Focuses on implementing Intel Parallel Studio
Highlights the benefits of using parallel code
Addresses error and performance optimization of code
Includes real-world scenarios that illustrate the techniques of advanced parallel programming situations
Parallel Programming with Intel Parallel Studio dispels any concerns of difficulty and gets you started creating faster code with Intel Parallel Studio.

From the Back Cover
Optimize code for multi-core processors with Intel Parallel Studio XE

Serving as a stand-alone, teach-yourself tutorial, this book walks you through the steps for adding parallel programming to your skill set. With a special focus placed on applying tools, techniques, and language extensions to implement parallelism, this essential resource teaches you how to write programs for and leverage the power of multi-core processing. Real-world examples and case studies reveal common hurdles of particular projects, and the authors clearly explain how to handle these situations so that you are prepared for dealing with these challenges.

Parallel Programming with Intel Parallel Studio XE:

Provides a detailed overview of Intel Parallel Studio XE: Intel Parallel Composer XE, Intel VTune Amplifier XE, and Intel Parallel Inspector XE
Addresses how to choose the right parallel constructs and deal with parallel programming errors
Offers tips for optimizing code
Demonstrates how to build applications to run on more than one type of CPU
Zeroes in on writing secure code and avoiding common security pitfalls

Table of Content
Part I: An Introduction to Parallelism
Chapter 1. Parallelism Today
Chapter 2. An Overview of Parallel Studio XE
Chapter 3. Parallel Studio XE for the Impatient

Part II: Using Parallel Studio XE
Chapter 4. Producing Optimized Code
Chapter 5. Writing Secure Code
Chapter 6. Where to Parallelize
Chapter 7. Implementing Parallelism
Chapter 8. Checking for Errors
Chapter 9. Tuning Parallel Applications
Chapter 10. Parallel Advisor朌riven Design
Chapter 11. Debugging Parallel Applications
Chapter 12. Event-Based Analysis with VTune Amplifi er XE

Part III: Case Studies
Chapter 13. The World抯 First Sudoku 揟hirty-Niner?br />Chapter 14. Nine Tips to Parallel-Programming Heaven
Chapter 15. Parallel Track Fitting in the CERN Collider
Chapter 16. Parallelizing Legacy Code

Book Details
Paperback: 552 pages
Publisher: Wrox (May 2012)
Language: English
ISBN-10: 0470891653
ISBN-13: 978-0470891650

Book Description
Your CPU meter shows a problem. One core is running at 100 percent, but all the other cores are idle. Your application is CPU-bound, but you are using only a fraction of the computing power of your multicore system. Is there a way to get better performance?

The answer, in a nutshell, is parallel programming. Where you once would have written the kind of sequential code that is familiar to all programmers, you now find that this no longer meets your performance goals. To use your system抯 CPU resources efficiently, you need to split your application into pieces that can run at the same time. Of course, this is easier said than done. Parallel programming has a reputation for being the domain of experts and a minefield of subtle, hard-to-reproduce software defects. Everyone seems to have a favorite story about a parallel program that did not behave as expected because of a mysterious bug.

These stories should inspire a healthy respect for the difficulty of the problems you will face in writing your own parallel programs. Fortunately, help has arrived. The Parallel Patterns Library (PPL) and the Asynchronous Agents Library introduce a new programming model for parallelism that significantly simplifies the job. Behind the scenes are sophisticated algorithms that dynamically distribute computations on multicore architectures. In addition, Microsoft?Visual Studio?2010 development system includes debugging and analysis tools to support the new parallel programming model.

Proven design patterns are another source of help. This guide introduces you to the most important and frequently used patterns of parallel programming and provides executable code samples for them, using PPL. When thinking about where to begin, a good place to start is to review the patterns in this book. See if your problem has any attributes that match the six patterns presented in the following chapters. If it does, delve more deeply into the relevant pattern or patterns and study the sample code.

Book Details
Paperback: 208 pages
Publisher: Microsoft Press (March, 2011)
Language: English
ISBN-10: 0735651752
ISBN-13: 978-0735651753

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梠ne 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抯 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
Perform live debugging of an application with parallel code
About the Author
Donis Marshall has over 20 years of experience in designing and building enterprise software utilizing Microsoft technologies for leading companies across industry segments. He is an endorsed trainer for Microsoft Global Learning Services, and has been training Microsoft developers and engineers for many years. Donis is the author of the Programming Microsoft Visual C# 2005, Programming Microsoft Visual C# 2008, and Solid Code, published by Microsoft Press.

Book Details
Paperback: 256 pages
Publisher: Microsoft Press (July 2011)
Language: English
ISBN-10: 0735640602
ISBN-13: 978-0735640603

Book Description
It抯 tough to argue with R as a high-quality, cross-platform, open source statistical software product梪nless you抮e in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You抣l 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抰.

With these packages, you can overcome R抯 single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R抯 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抯 power with R抯 language and interactive shell
Segue: lets you use Elastic MapReduce as a backend for lapply-style operations

Table of Contents
Chapter 1 Getting Started
Chapter 2 snow
Chapter 3 multicore
Chapter 4 parallel
Chapter 5 A Primer on MapReduce and Hadoop
Chapter 6 R+Hadoop
Chapter 7 RHIPE
Chapter 8 Segue
Chapter 9 New and Upcoming

Book Details
Paperback: 122 pages
Publisher: O扲eilly Media (October 2011)
Language: English
ISBN-10: 1449309925
ISBN-13: 978-1449309923

Book Description
The emergence of the cloud and modern, fast corporate networks demands that you perform judicious balancing of computational loads. Practical Load Balancing presents an entire analytical framework to increase performance not just of one machine, but of your entire infrastructure.

Practical Load Balancing starts by introducing key concepts and the tools you抣l need to tackle your load-balancing issues. You抣l travel through the IP layers and learn how they can create increased network traffic for you. You抣l see how to account for persistence and state, and how you can judge the performance of scheduling algorithms.

You抣l then learn how to avoid performance degradation and any risk of the sudden disappearance of a service on a server. If you抮e concerned with running your load balancer for an entire network, you抣l find out how to set up your network topography, and condense each topographical variety into recipes that will serve you in different situations. You抣l also learn about individual servers, and load balancers that can perform cookie insertion or improve your SSL throughput.

You抣l also explore load balancing in the modern context of the cloud. While load balancers need to be configured for high availability once the conditions on the network have been created, modern load balancing has found its way into the cloud, where good balancing is vital for the very functioning of the cloud, and where IPv6 is becoming ever more important.

You can read Practical Load Balancing from end to end or out of sequence, and indeed, if there are individual topics that interest you, you can pick up this book and work through it once you have read the first three chapters.

What you抣l learn

Judge network load balancing algorithms and when to use them
Plan your network for optimal load balancing performance
Configure single servers to take advantage of modern load balancing software
Learning to use load balancing software like HAproxy, STunnel etc.
Become familiar with implications of IPv6 and the cloud
Improve SSL throughput and seamless application cookie insertion
Who this book is for
Network engineers, developers and IT managers.

Table of Contents
Part I: Getting Started
Chapter 1. Introduction
Chapter 2. How websites work: what makes them slow
Chapter 3. Content Caching: keeping the load light
Chapter 4. DNS based load balancing
Chapter 5. Content Delivery Networks
Chapter 6. Planning for Performance and Reliability

Part II: Load Balancing Essentials
Chapter 7. Essential concepts you need to know
Chapter 8. HTTP load balancing
Chapter 9. Database load balancing
Chapter 10. Load balancing your network connection
Chapter 11. SSL Load Balancing

Part III: Load balancing situations
Chapter 12. Clustering the Load Balancers for High Availability
Chapter 13. Load balancing in the cloud
Chapter 14. IPv6: Implications and concepts
Chapter 15. Where to go next?br />
... and much more

Programming Books 06 Parallel Computing (26 Books)

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