Products related to Parallel:
-
Introduction to Parallel Programming
In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming.This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc.This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming.It takes the reader from introduction to expertise, addressing a broad gamut of issues.It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues.With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.
Price: 49.99 £ | Shipping*: 0.00 £ -
LevelOne Parallel Print Server
LevelOne Parallel Print Server
Price: 108.07 £ | Shipping*: 0.00 £ -
Programming Models for Parallel Computing
An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems.Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data.This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature.The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer.The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing.It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL).The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations.ContributorsTimothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T.Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A.Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C.Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M.Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng
Price: 57.00 £ | Shipping*: 0.00 £ -
An Introduction to Parallel Programming
An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP. As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming.New and improved user-friendly exercises teach students how to compile, run and modify example programs.
Price: 62.99 £ | Shipping*: 0.00 £
-
What is the difference between sequential programming and parallel programming?
Sequential programming involves writing code that executes one instruction at a time, in a linear fashion. This means that each instruction must wait for the previous one to finish before it can start. On the other hand, parallel programming involves writing code that can execute multiple instructions at the same time, taking advantage of multiple processors or cores. This allows for faster execution of tasks and better utilization of hardware resources. In parallel programming, tasks can be divided and executed simultaneously, while in sequential programming, tasks are executed one after the other.
-
How can one use Windows and Linux in parallel?
One way to use Windows and Linux in parallel is by setting up a dual-boot system on your computer. This involves partitioning your hard drive and installing both operating systems on separate partitions. Another option is to use a virtual machine software like VirtualBox or VMware to run one operating system within the other. This allows you to switch between Windows and Linux without having to reboot your computer. Additionally, you can also use Windows Subsystem for Linux (WSL) on Windows 10, which enables you to run a Linux distribution natively within Windows.
-
Which distro do you use, Linux users?
As an AI, I do not have personal preferences or the ability to use operating systems. However, Linux users often choose their distribution based on their specific needs and preferences. Some popular distributions include Ubuntu for its user-friendly interface, Fedora for its focus on the latest technologies, and Debian for its stability and reliability. Ultimately, the choice of distribution depends on the user's requirements and level of expertise.
-
How can one install Zorin Linux parallel to Windows 10?
To install Zorin Linux parallel to Windows 10, you will need to create a separate partition on your hard drive for Zorin. You can use a tool like GParted to resize your Windows partition and create space for Zorin. Once you have the partition ready, you can download the Zorin ISO file, create a bootable USB drive using software like Rufus, and boot into the Zorin installer. During the installation process, choose the option to install Zorin alongside Windows 10, and follow the on-screen instructions to complete the installation. After the installation is finished, you will have the option to choose between Zorin and Windows 10 when you boot up your computer.
Similar search terms for Parallel:
-
Digitus Fast Ethernet Print Server, parallel
Digitus Fast Ethernet Print Server, parallel
Price: 88.91 £ | Shipping*: 0.00 £ -
Parallel Programming : for Multicore and Cluster Systems
This textbook covers the new development in processor architecture and parallel hardware.It provides detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers.The book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms.The emphasis lies on parallel programming techniques needed for different architectures.In particular, this third edition includes an extended update of the chapter on computer architecture and performance analysis taking new developments such as the aspect of energy consumption into consideration.The description of OpenMP has been extended and now also captures the task concept of OpenMP.The chapter on message-passing programming has been extended and updated to include new features of MPI such as extended reduction operations and non-blocking collective communication operations.The chapter on GPU programming also has been updated.All other chapters also have been revised carefully. The main goal of this book is to present parallel programming techniques that can be used in many situations for many application areas and to enable the reader to develop correct and efficient parallel programs.Many example programs and exercises are provided to support this goal and to show how the techniques can be applied to further applications.The book can be used as a textbook for students as well as a reference book for professionals.The material of the book has been used for courses in parallel programming at different universities for many years.
Price: 54.99 £ | Shipping*: 0.00 £ -
Learning eBPF : Programming the Linux Kernel for Enhanced Observability, Networking, and Security
What is eBPF? With this revolutionary technology, you can write custom code that dynamically changes the way the kernel behaves.It's an extraordinary platform for building a whole new generation of security, observability, and networking tools. This practical book is ideal for developers, system administrators, operators, and students who are curious about eBPF and want to know how it works.Author Liz Rice, chief open source officer with cloud native networking and security specialists Isovalent, also provides a foundation for those who want to explore writing eBPF programs themselves. With this book, you will:Learn why eBPF has become so important in the past couple of yearsWrite basic eBPF code, and manipulate eBPF programs and attach them to eventsExplore how eBPF components interact with Linux to dynamically change the operating system's behaviorLearn how tools based on eBPF can instrument applications without changes to the apps or their configurationDiscover how this technology enables new tools for observability, security, and networking
Price: 44.99 £ | Shipping*: 0.00 £ -
Programming in Parallel with CUDA : A Practical Guide
CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades.With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility.As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond.This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data.The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing.Much attention has been paid to the C++ coding style, which is compact, elegant and efficient.A code base of examples and supporting material is available online, which readers can build on for their own projects.
Price: 49.99 £ | Shipping*: 0.00 £
-
What is the difference between parallel and truly parallel?
Parallel processing refers to the simultaneous execution of multiple tasks using a single processor, where the tasks are divided into smaller sub-tasks and executed in a sequential manner. Truly parallel processing, on the other hand, involves the simultaneous execution of multiple tasks using multiple processors, where each processor works independently on its own set of tasks. In other words, parallel processing may involve time-sharing or interleaving of tasks on a single processor, while truly parallel processing involves the simultaneous execution of tasks on multiple processors. Truly parallel processing can provide greater performance and efficiency compared to parallel processing.
-
What is the error message when installing Windows and Linux in parallel?
The error message that may occur when installing Windows and Linux in parallel is related to the partitioning of the hard drive. This error can occur if the partitions are not set up correctly or if there is not enough space allocated for each operating system. It is important to carefully follow the installation instructions and ensure that the partitions are created in a way that allows both operating systems to coexist without conflicts. Additionally, some errors may occur if the boot loader is not configured properly to allow for dual-booting between Windows and Linux.
-
Is it possible to use multiple OpenJDK versions in parallel on Linux?
Yes, it is possible to use multiple OpenJDK versions in parallel on Linux. This can be achieved by installing different versions of OpenJDK in separate directories and then setting the JAVA_HOME and PATH environment variables to point to the desired version. This allows you to switch between different OpenJDK versions as needed for different applications or projects. Additionally, tools like update-alternatives can be used to manage multiple Java installations and easily switch between them.
-
Are there parallel worlds?
The concept of parallel worlds, also known as the multiverse theory, is a speculative idea in physics and philosophy. While there is no concrete evidence to prove the existence of parallel worlds, some theories suggest that there could be multiple universes existing simultaneously alongside our own. These parallel worlds could potentially have different physical laws, dimensions, or even versions of ourselves. However, until there is empirical evidence to support this theory, the existence of parallel worlds remains purely hypothetical.
* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases.