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High Performance Computing for Intelligent Medical Systems

Edited by Varun Bajaj, Irshad Ahmad Ansari ...

Series series IOP Series in Next Generation Computing
Modern medicine and healthcare are highly dependent on engineering, employing instrumentation and computer systems to aid investigation, diagnosis, treatment and patient management. The significant developments in the field of computational intelligence, combined with the emergence of high-performance computing is impacting society in many ways, and the health sector is no exception. The interface ... Read more

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Modern medicine and healthcare are highly dependent on engineering, employing instrumentation and computer systems to aid investigation, diagnosis, treatment and patient management. The significant developments in the field of computational intelligence, combined with the emergence of high-performance computing is impacting society in many ways, and the health sector is no exception. The interface
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by 零的零次方 ...

Series series 從零開始
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Parallel Python with Dask, Second Edition

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Creating Components

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Concurrency is a powerful technique for developing efficient and lightning- fast software. For instance, concurrency can be used in common applications such as online order processing to speed processing and ensure transaction reliability. However, mastering concurrency is one of the greatest challenges for both new and veteran programmers. Softwar ... Read more

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Rapidly generating and processing large amounts of data, supercomputers are currently at the leading edge of computing technologies. Supercomputers are employed in many different fields, establishing them as an integral part of the computational sciences. Research and Applications in Global Supercomputing investigates current and emerging research in the field, as well as the application of this
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Distributed AI Systems

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Learn distributed AI through hands-on experience with training frameworks, inference engines, and orchestration tools to build production-ready training, inference, and serving systems for modern large-scale AI. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\*Key FeaturesUnderstand GPU hardware, high-speed interconnects, and parallelism strategiesHands-on exercises ... Read more

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Multicore and GPU Programming

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Real-time systems are of importance to a large number of university laboratories and research institutes worldwide, and without the proper integration of real-time into distributed computing, institutions simply could not function. Achieving Real-Time in Distributed Computing: From Grids to Clouds offers over 400 accounts from a wide range of specific research efforts. Major focus is given to the
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Mastering Swift

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Fortran 2018 with Parallel Programming

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The programming language Fortran dates back to 1957 when a team of IBM engineers released the first Fortran Compiler. During the past 60 years, the language had been revised and updated several times to incorporate more features to enable writing clean and structured computer programs. The present version is Fortran 2018. Since the dawn of the computer era, there had been a constant demand for a ... Read more

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The programming language Fortran dates back to 1957 when a team of IBM engineers released the first Fortran Compiler. During the past 60 years, the language had been revised and updated several times to incorporate more features to enable writing clean and structured computer programs. The present version is Fortran 2018. Since the dawn of the computer era, there had been a constant demand for a
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Parallel Iterative Algorithms

From Sequential to Grid Computing

by Jacques Mohcine Bahi, Sylvain Contassot-Vivier, Raphael Couturier ...

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 dr ... Read more

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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 dr
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Mastering Cloud Computing

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by Rajkumar Buyya, Christian Vecchiola, S.Thamarai Selvi, Shivananda Poojara, Satish Narayana Srirama ...

Mastering Cloud Computing: Foundations and Applications Programming, Second Edition serves as a comprehensive introduction for readers seeking to develop applications in the ever-evolving world of cloud computing. As technology advances, applications are no longer confined to a single machine but instead operate from virtual servers, accessible globally at any time. This book equips aspiring ... Read more

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Mastering Cloud Computing: Foundations and Applications Programming, Second Edition serves as a comprehensive introduction for readers seeking to develop applications in the ever-evolving world of cloud computing. As technology advances, applications are no longer confined to a single machine but instead operate from virtual servers, accessible globally at any time. This book equips aspiring
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C++ Programming Cookbook

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"C++ Programming Cookbook" stands out as a clear, concise, and powerful technical resource for programmers who want to master C++'s intricacies. C++ programmers face a wide variety of problems, and this carefully written book is a treasure trove of solutions and methods to those software development challenges.Each chapter is organized to help you get a good grasp of the language and everything it
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Parallel Programming with Co-arrays

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Series series Chapman & Hall/CRC Computational Science
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Parallel Programming with Co-Arrays describes the basic techniques used to design parallel algorithms for high-performance, scientific computing. It is intended for upper-level undergraduate students and graduate students who need to develop parallel codes with little or no previous introduction to parallel computing. It is also intended as a reference manual for researchers active in the field of
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Using Sidekiq for background jobs is a great way to scale and grow your app. This book will give you a solid, practical foundation for creating resilient, well-tested, self-healing code that uses background jobs. You'll be able to simulate real-world failure modes and learn how to write idempotent code that can be safely run with Sidekiq.One of the best ways to improve your Rails app's performance ... Read more

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Intel Xeon Phi Processor High Performance Programming is an all-in-one source of information for programming the Second-Generation Intel Xeon Phi product family also called Knights Landing. The authors provide detailed and timely Knights Landingspecific details, programming advice, and real-world examples. The authors distill their years of Xeon Phi programming experience coupled with insights ... Read more

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Recommended For You

Parallel Programming eBooks

High Performance Computing for Intelligent Medical Systems

Master Machine Learning with MATLAB

從零開始寫 CUDA kernel

Rust Web Programming

Parallel Python with Dask, Second Edition

Parallel Python with Dask

Building Big Data Pipelines with Apache Beam

Creating Components

Concurrency in .NET 10

Research and Applications in Global Supercomputing

Evolving Developments in Grid and Cloud Computing: Advancing Research

Hadoop BIG DATA Interview Questions You'll Most Likely Be Asked

Parallel and High Performance Programming with Python (2nd Edition)

Distributed AI Systems

Multicore and GPU Programming

Achieving Real-Time in Distributed Computing: From Grids to Clouds

Mastering Swift

Fortran 2018 with Parallel Programming

Parallel Iterative Algorithms

Mastering Cloud Computing

C++ Programming Cookbook

Parallel Programming with Co-arrays

Ruby on Rails Background Jobs with Sidekiq

Intel Xeon Phi Processor High Performance Programming