Parallel And High Performance Programming With Python
DOWNLOAD
Download Parallel And High Performance Programming With Python PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Parallel And High Performance Programming With Python book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Parallel And High Performance Programming With Python
DOWNLOAD
Author : Fabio Nelli
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2023-04-13
Parallel And High Performance Programming With Python written by Fabio Nelli and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-13 with Computers categories.
Unleash the capabilities of Python and its libraries for solving high performance computational problems. KEY FEATURES ● Explores parallel programming concepts and techniques for high-performance computing. ● Covers parallel algorithms, multiprocessing, distributed computing, and GPU programming. ● Provides practical use of popular Python libraries/tools like NumPy, Pandas, Dask, and TensorFlow. DESCRIPTION This book will teach you everything about the powerful techniques and applications of parallel computing, from the basics of parallel programming to the cutting-edge innovations shaping the future of computing. The book starts with an introduction to parallel programming and the different types of parallelism, including parallel programming with threads and processes. The book then delves into asynchronous programming, distributed Python, and GPU programming with Python, providing you with the tools you need to optimize your programs for distributed and high-performance computing. The book also covers a wide range of applications for parallel computing, including data science, artificial intelligence, and other complex scientific simulations. You will learn about the challenges and opportunities presented by parallel computing for these applications and how to overcome them. By the end of the book, you will have insights into the future of parallel computing, the latest research and developments in the field, and explore the exciting possibilities that lie ahead. WHAT WILL YOU LEARN ● Build faster, smarter, and more efficient applications for data analysis, machine learning, and scientific computing ● Implement parallel algorithms in Python ● Best practices for designing, implementing, and scaling parallel programs in Python WHO IS THIS BOOK FOR? This book is aimed at software developers who wish to take their careers to the next level by improving their skills and learning about concurrent and parallel programming. It is also intended for Python developers who aspire to write fast and efficient programs, and for students who wish to learn the fundamentals of parallel computing and its practical uses. TABLE OF CONTENTS 1. Introduction to Parallel Programming 2. Building Multithreaded Programs 3. Working with Multiprocessing and mpi4py Library 4. Asynchronous Programming with AsyncIO 5. Realizing Parallelism with Distributed Systems 6. Maximizing Performance with GPU Programming using CUDA 7. Embracing the Parallel Computing Revolution 8. Scaling Your Data Science Applications with Dask 9. Exploring the Potential of AI with Parallel Computing 10. Hands-on Applications of Parallel Computing
Parallel And High Performance Computing
DOWNLOAD
Author : Robert Robey
language : en
Publisher: Simon and Schuster
Release Date : 2021-06-22
Parallel And High Performance Computing written by Robert Robey and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-22 with Computers categories.
Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours--or even days--of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. about the technology Modern computing hardware comes equipped with multicore CPUs and GPUs that can process numerous instruction sets simultaneously. Parallel computing takes advantage of this now-standard computer architecture to execute multiple operations at the same time, offering the potential for applications that run faster, are more energy efficient, and can be scaled to tackle problems that demand large computational capabilities. But to get these benefits, you must change the way you design and write software. Taking advantage of the tools, algorithms, and design patterns created specifically for parallel processing is essential to creating top performing applications. about the book Parallel and High Performance Computing is an irreplaceable guide for anyone who needs to maximize application performance and reduce execution time. Parallel computing experts Robert Robey and Yuliana Zamora take a fundamental approach to parallel programming, providing novice practitioners the skills needed to tackle any high-performance computing project with modern CPU and GPU hardware. Get under the hood of parallel computing architecture and learn to evaluate hardware performance, scale up your resources to tackle larger problem sizes, and deliver a level of energy efficiency that makes high performance possible on hand-held devices. When you''re done, you''ll be able to build parallel programs that are reliable, robust, and require minimal code maintenance. This book is unique in its breadth, with discussions of parallel algorithms, techniques to successfully develop parallel programs, and wide coverage of the most effective languages for the CPU and GPU. The programming paradigms include MPI, OpenMP threading, and vectorization for the CPU. For the GPU, the book covers OpenMP and OpenACC directive-based approaches and the native-based CUDA and OpenCL languages. what''s inside Steps for planning a new parallel project Choosing the right data structures and algorithms Addressing underperforming kernels and loops The differences in CPU and GPU architecture about the reader For experienced programmers with proficiency in a high performance computing language such as C, C++, or Fortran. about the authors Robert Robey has been active in the field of parallel computing for over 30 years. He works at Los Alamos National Laboratory, and has previously worked at the University of New Mexico, where he started up the Albuquerque High Performance Computing Center. Yuliana Zamora has lectured on efficient programming of modern hardware at national conferences, based on her work developing applications running on tens of thousands of processing cores and the latest GPU architectures.
Mastering Python Concurrency And Parallelism Unlock The Secrets Of Expert Level Skills
DOWNLOAD
Author : Larry Jones
language : en
Publisher: Walzone Press
Release Date : 2025-03-05
Mastering Python Concurrency And Parallelism Unlock The Secrets Of Expert Level Skills written by Larry Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Computers categories.
Unlock the full potential of your Python programming with "Mastering Python Concurrency and Parallelism: Unlock the Secrets of Expert-Level Skills." This comprehensive guide is crafted for experienced developers ready to elevate their expertise in concurrent and parallel computing. Through detailed exploration of threading, asyncio, and multiprocessing, you'll gain the insights needed to optimize your software for today's multi-core processors, ensuring peak performance and efficiency in your applications. Navigate through the nuanced world of Python concurrency with expertly organized chapters covering essential concepts, real-world applications, and advanced techniques. From demystifying the Global Interpreter Lock (GIL) to designing sophisticated concurrent data structures, this book offers unparalleled clarity and practical knowledge. Each chapter builds on the previous one, providing a seamless learning curve that empowers you to master the intricacies of writing robust, scalable concurrent code. Whether you're developing high-demand web servers, crafting precise financial models, or engineering responsive IoT systems, this book equips you with the tools to succeed. Real-world case studies and best practices accentuate the theoretical, allowing you to apply concepts to your unique challenges. Redefine your development capabilities and achieve new heights in software performance with this essential resource for mastering concurrency in Python.
High Performance Computing
DOWNLOAD
Author : Philippe Navaux
language : en
Publisher: Springer Nature
Release Date : 2022-12-20
High Performance Computing written by Philippe Navaux and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-20 with Computers categories.
This book constitutes the proceedings of the 9th Latin American Conference on High Performance Computing, CARLA 2022, held in Porto Alegre, Brazil, in September 2022. The 16 full papers presented in this volume were carefully reviewed and selected from 56 submissions. CARLA, the Latin American High Performance Computing Conference, is an international academic meeting aimed at providing a forum to foster the growth and strength of the High Performance Computing (HPC) community in Latin America and the Caribbean through the exchange and dissemination of new ideas, techniques, and research in HPC and its application areas.
High Performance Parallel Runtimes
DOWNLOAD
Author : Michael Klemm
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-02-08
High Performance Parallel Runtimes written by Michael Klemm and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Computers categories.
This book focuses on the theoretical and practical aspects of parallel programming systems for today's high performance multi-core processors and discusses the efficient implementation of key algorithms needed to implement parallel programming models. Such implementations need to take into account the specific architectural aspects of the underlying computer architecture and the features offered by the execution environment. This book briefly reviews key concepts of modern computer architecture, focusing particularly on the performance of parallel codes as well as the relevant concepts in parallel programming models. The book then turns towards the fundamental algorithms used to implement the parallel programming models and discusses how they interact with modern processors. While the book will focus on the general mechanisms, we will mostly use the Intel processor architecture to exemplify the implementation concepts discussed but will present other processor architectures where appropriate. All algorithms and concepts are discussed in an easy to understand way with many illustrative examples, figures, and source code fragments. The target audience of the book is students in Computer Science who are studying compiler construction, parallel programming, or programming systems. Software developers who have an interest in the core algorithms used to implement a parallel runtime system, or who need to educate themselves for projects that require the algorithms and concepts discussed in this book will also benefit from reading it. You can find the source code for this book at https://github.com/parallel-runtimes/lomp.
Parallel Python Programming
DOWNLOAD
Author : Ethan B Carter
language : en
Publisher: Independently Published
Release Date : 2024-12-30
Parallel Python Programming written by Ethan B Carter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
Unlock the full potential of your Python code with Parallel Python Programming, a comprehensive guide to mastering concurrency and multicore processing. This book is designed for developers, data scientists, and engineers looking to accelerate their applications by utilizing modern multi-core processors and parallel execution. Explore the fundamental concepts of parallel computing and how they can be seamlessly integrated into your Python projects. Through practical examples and clear explanations, you'll learn to implement parallel algorithms, optimize performance, and overcome common bottlenecks in CPU-bound tasksFrom leveraging Python's threading and multiprocessing modules to using advanced libraries like Dask and Celery, this book covers the tools, techniques, and best practices for building high-performance, scalable applications. Whether you're working on data analysis, machine learning, or computational simulations, Parallel Python Programming empowers you to speed up your workflows and harness the power of multicore systems with ease. Step into the world of parallelism and unlock the next level of performance in Python programming.
Parallel Processing And Applied Mathematics
DOWNLOAD
Author : Roman Wyrzykowski
language : en
Publisher: Springer
Release Date : 2018-03-22
Parallel Processing And Applied Mathematics written by Roman Wyrzykowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-22 with Computers categories.
The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, held in Lublin, Poland, in September 2017. The 49 regular papers presented in the proceedings were selected from 98 submissions. For the workshops and special sessions, that were held as integral parts of the PPAM 2017 conference, a total of 51 papers was accepted from 75 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; soft computing with applications; and special session on parallel matrix factorizations. Part II: workshop on models, algorithms and methodologies for hybrid parallelism in new HPC systems; workshop power and energy aspects of computations (PEAC 2017); workshop on scheduling for parallel computing (SPC 2017); workshop on language-based parallel programming models (WLPP 2017); workshop on PGAS programming; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems.
High Performance Computing In Finance
DOWNLOAD
Author : M. A. H. Dempster
language : en
Publisher: CRC Press
Release Date : 2018-02-21
High Performance Computing In Finance written by M. A. H. Dempster and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-21 with Computers categories.
High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.
Euro Par 2018 Parallel Processing Workshops
DOWNLOAD
Author : Gabriele Mencagli
language : en
Publisher: Springer
Release Date : 2018-12-31
Euro Par 2018 Parallel Processing Workshops written by Gabriele Mencagli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-31 with Computers categories.
This book constitutes revised selected papers from the workshops held at 24th International Conference on Parallel and Distributed Computing, Euro-Par 2018, which took place in Turin, Italy, in August 2018. The 64 full papers presented in this volume were carefully reviewed and selected from 109 submissions. Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects.
Principles And Practices Of Building Parallel Software
DOWNLOAD
Author : Rajkishore Barik
language : en
Publisher: Springer Nature
Release Date : 2025-06-27
Principles And Practices Of Building Parallel Software written by Rajkishore Barik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Computers categories.
This Festschrift celebrates the career of Vivek Sarkar, a pioneer who has influenced research into programming languages, compilers, runtime systems, and debugging and verification systems for high-performance computers. After foundational Ph.D. work at Stanford University under the mentorship of John L. Hennessy, Vivek joined IBM, where he contributed to the PTRAN Project, he led the design and implementation of the ASTI optimizer for the XL compiler, the design of the X10 programming language, and the development of the Jikes Research Virtual Machine, an open-source JVM that has enabled experimentation with advanced virtual machine technologies at hundreds of universities worldwide. He was appointed to a professorship at Rice University where he also served as Chair of the Dept. of Computer Science, and he is now the Chair of the School of Computer Science at Georgia Tech. Vivek is a member of the IBM Academy of Technology, he is an ACM Fellow and an IEEE Fellow, and he serves on the US Dept. of Energy Advanced Scientific Computing Advisory Committee and the CRA Board of Directors. In 2020 he received the ACM-IEEE CS Ken Kennedy Award for foundational technical contributions to the area of programmability and productivity in parallel computing, and leadership contributions to professional service, mentoring, and teaching. This volume celebrates Vivek Sarkar’s transformative work. Motivated by the challenges of high-performance and exascale computing, he has profoundly shaped both industry practices and academic research through pioneering innovations, technical expertise, and dedicated mentorship, and is a role model for generations of computer scientists.