Scalable high performance computing (53 résultats)

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : Neu. Neuware - This book is a comprehensive guide to engineering highly optimized, distributed C++ applications. It teaches you how to construct software that scales seamlessly from a local workstation to an enterprise supercomputing cluster without wasting a single CPU cycle.I know exactly what it feels like to watch a carefully written application collapse under its own weight. You optimize your mathematics on one machine, only to watch the software freeze or crash the moment you try to scale it up. The hard truth is that the standard rules of software development fail at massive scale. Standard file operations throttle your storage drives, and synchronous network messages force your CPUs to sit entirely idle. What happens when your dataset grows so large that a single server simply cannot process it You must change your entire execution architecture. I wrote this guide to show you exactly how to bypass the operating system, manipulate physical RAM across networks, and coordinate thousands of nodes without a single collision.What's Inside: The Architecture of ScaleThis guide is packed with rigorous, highly practical techniques to transform how you write software: - Custom Memory Mapping: Transmit complex C++ structures instantly using zero-copy communication.- Asynchronous Execution: Master Remote Memory Access to seamlessly alter remote RAM without interrupting active calculations.- Parallel Storage Pipelines: Coordinate collective I/O to write massive datasets at absolute hardware speed.- Hybrid Processing: Unify MPI and OpenMP to completely dominate modern multi-core servers.- Dynamic Load Balancing: Eliminate idle time by constructing highly efficient master-worker task queues.Who It's Meant For: Systems EngineersThis guide is written for C++ developers and software architects who refuse to accept hardware limitations. If you want to elevate your engineering skills to command massive computing clusters, this is your direct roadmap.Stop writing software that is permanently trapped inside a single computer. Your hardware is capable of infinite parallel execution, and it is time you unlock that potential. Grab your copy now, rewrite your architecture, and start engineering the scalable systems of tomorrow.…

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Taschenbuch. Etat : Neu. Neuware - Modern CPUs are starving. While processor speeds have soared, memory access times barely crawl. Data-Oriented Design (DOD) is a paradigm that treats memory layout and hardware architecture as the ultimate drivers of performance. It abandons traditional Object-Oriented deep inheritance and fragmented memory in favor of flat, contiguous data streams. By aligning your code with the physical reality of the CPU cache, DOD unlocks the blistering throughput of modern silicon.For years, I wrote what I thought was 'perfect' C++ code. I mastered deep inheritance trees and meticulously encapsulated objects. My architecture diagrams were beautiful. But when I ran the profiler on heavy data loads, the performance was completely suffocating.Why I realized I was writing code for other humans, not the machine. Every virtual function was a pipeline stall. Every scattered object was a cache miss. I was forcing a hyper-advanced CPU to wait on fragmented memory. The day I discovered Data-Oriented Design and began treating memory as raw, contiguous data blocks, everything changed. Execution times plummeted, latency dropped, and maintenance actually became easier. You have likely hit this exact same performance wall in your own projects. Now, it is time for you to break through it.What's inside- The Hardware Reality: A brutal, easy-to-understand breakdown of L1/L2 caches, false sharing, and branch prediction.- The OOP Takedown: Why standard node-based containers (like std:: list) silently kill your software.- The DOD Playbook: Step-by-step guides to implementing Structure of Arrays (SoA) and flat architectures.- Silicon Auditing: Reading Flame Graphs and using assembly outputs to verify auto-vectorization.- Real-World Cases: Refactoring game physics, High-Frequency Trading algorithms, and Big Data pipelines.Who it's meant for- C++ Engineers tired of unexplained performance bottlenecks.- Game Developers squeezing every millisecond out of simulation loops.- Systems Architects building ultra-low latency financial or data-ingestion pipelines.- Anyone wanting to stop guessing and start engineering with absolute mechanical sympathy.The hardware is waiting. Are you going to keep starving your processor with fragmented objects, or are you ready to unleash its true potential Stop writing code for compilers. Start writing code for silicon.Grab your copy today, and transform the way you engineer software forever.…

hardcover. Etat : Very Good.

Etat : Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New. Intends to serve as a reference, providing insight into some of the challenging research issues in the field. Editor(s): Stolorz, Paul; Musick, Ron. Num Pages: 100 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 7. Weight in Grams: 750. . 1998. Reprinted from DATA MINING AND KNOWLEDGE DISCOVER. Hardback. . . . . …

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Etat : New.

Etat : New. pp. 108.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Scalable High Performance Computing for Knowledge Discovery and Data Mining brings together in one place important contributions and up-to-date research results in this fast moving area. Scalable High Performance Computing for Knowledge Discovery and Data Mining serves as an excellent reference, providing insight into some of the most challenging research issues in the field.…

Etat : New.

Etat : New. pp. 112.

Taschenbuch. Etat : Neu. Scalable High Performance Computing for Knowledge Discovery and Data Mining | A Special Issue of Data Mining and Knowledge Discovery Volume 1, No.4 (1997) | Paul Stolorz (u. a.) | Taschenbuch | iv | Englisch | 2012 | Springer | EAN 9781461375951 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Etat : New. Intends to serve as a reference, providing insight into some of the challenging research issues in the field. Editor(s): Stolorz, Paul; Musick, Ron. Num Pages: 100 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 7. Weight in Grams: 750. . 1998. Reprinted from DATA MINING AND KNOWLEDGE DISCOVER. Hardback. . . . . Books ship from the US and Ireland. …

Gebunden. Etat : New. Scalable High Performance Computing for Knowledge Discovery and Data Mining brings together in one place important contributions and up-to-date research results in this fast moving area. Scalable High Performance Computing fo.

Etat : As New. Unread book in perfect condition.

Buch. Etat : Neu. Neuware - Scalable High Performance Computing for Knowledge Discovery and Data Mining brings together in one place important contributions and up-to-date research results in this fast moving area. Scalable High Performance Computing for Knowledge Discovery and Data Mining serves as an excellent reference, providing insight into some of the most challenging research issues in the field.…

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : Hervorragend. Zustand: Hervorragend | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications. Besides presenting the motivation behind moving HPC applications to the cloud, it covers both essential and advanced issues on this topic such as deploying HPC applications and infrastructures, designing cloud-friendly HPC applications, and optimizing a provisioned cloud infrastructure to run this family of applications. Additionally, this book also describes the best practices to maintain and keep running HPC applications in the cloud by employing fault tolerance techniques and avoiding resource wastage. To give practical meaning to topics covered in this book, it brings some case studies where HPC applications, used in relevant scientific areas like Bioinformatics and Oil and Gas industry were moved to the cloud. Moreover, it also discusses how to train deep learning models in the cloud elucidating the key components andaspects necessary to train these models via different types of services offered by cloud providers.Despite the vast bibliography about cloud computing and HPC, to the best of our knowledge, no existing manuscript has comprehensively covered these topics and discussed the steps, methods and strategies to execute HPC applications in clouds. Therefore, we believe this title is useful for IT professionals and students and researchers interested in cutting-edge technologies, concepts, and insights focusing on the use of cloud technologies to run HPC applications.…

Taschenbuch. Etat : Neu. High Performance Computing in Clouds | Moving HPC Applications to a Scalable and Cost-Effective Environment | Edson Borin (u. a.) | Taschenbuch | xv | Englisch | 2024 | Springer | EAN 9783031297717 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.