Implement effective programming techniques in Python to build scalable software that saves time a... more Implement effective programming techniques in Python to build scalable software that saves time and memory Key Features Design distributed computing systems and massive computational tasks coherently Learn practical recipes with concise explanations that address development pain points encountered while coding parallel programs Understand how to host your parallelized applications on the cloud Book Description Nowadays, it has become extremely important for programmers to understand the link between the software and the parallel nature of their hardware so that their programs run efficiently on computer architectures. Applications based on parallel programming are fast, robust, and easily scalable. This updated edition features cutting-edge techniques for building effective concurrent applications in Python 3.7. The book introduces parallel programming architectures and covers the fundamental recipes for thread-based and process-based parallelism. You'll learn about mutex, semap...
Key FeaturesGet the first book on the market that shows you the key aspects TensorFlow, how it wo... more Key FeaturesGet the first book on the market that shows you the key aspects TensorFlow, how it works, and how to use it for the second generation of machine learningWant to perform faster and more accurate computations in the field of data science? This book will acquaint you with an all-new refreshing library Tensor Flow!Dive into the next generation of numerical computing and get the most out of your data with this quick guide Book Description Google's Tensor Flow engine, after much fanfare, has evolved in to a robust, user-friendly, and customizable, application-grade software library of machine learning (ML) code for numerical computation and neural networks. This book takes you through the practical software implementation of various machine learning techniques with Tensor Flow. In the first few chapters, you'll gain familiarity with the framework and perform the mathematical operations required for data analysis. As you progress further, you'll learn to implement v...
Master efficient parallel programming to build powerful applications using Python About This Book... more Master efficient parallel programming to build powerful applications using Python About This Book * Design and implement efficient parallel software * Master new programming techniques to address and solve complex programming problems * Explore the world of parallel programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered in great depth Who This Book Is For Python Parallel Programming Cookbook is intended for software developers who are well versed with Python and want to use parallel programming techniques to write powerful and efficient code. This book will help you master the basics and the advanced of parallel computing. What You Will Learn * Synchronize multiple threads and processes to manage parallel tasks * Implement message passing communication between processes to build parallel applications * Program your own GPU cards to address complex problems * Manage computing entities to execu...
Con il termine parallelismo si indica la possibilità di eseguire più operazioni simultaneamente. ... more Con il termine parallelismo si indica la possibilità di eseguire più operazioni simultaneamente. In risposta alla crescente necessità di disporre di elaboratori ad alte prestazioni (high performance computing system) sono stati sviluppati algoritmi ed architetture che consentono una esecuzione concorrente (architetture parallele). Per utilizzare questa classe di macchine è necessario disporre di programmi che possono essere eseguiti su più unità processanti, programma che diremo programma parallelo. È ovvio che la ragione principale perché si voglia eseguire un programma in parallelo è l’aspettativa che il suo tempo complessivo di esecuzione sia significativamente inferiore rispetto al corrispondente programma sequenziale. Affinché questo obiettivo sia raggiungibile è necessario adattare il programma in modo da utilizzare al meglio le caratteristiche architettoniche delle macchine parallele. Questa problematica riguarda l’annotazione delle opportunità di parallelismo e richiede lo s...
ABSTRACT Smart WAter Network (SWAN) can represent an important sub system of Smart Cities if wate... more ABSTRACT Smart WAter Network (SWAN) can represent an important sub system of Smart Cities if water utilities start to use diffusely remote control devices as gate valves and flow meters. These instruments open new perspectives for the management of water supply systems both in terms of water save and water protection. Recently, starting from the advantages offered by computing power and network analysis tools, some techniques based on graph partitioning algorithms have been developed by the authors to improve water management and protection, implementing the paradigm of " divide and conquer " that consists into divide a SWAN in k smaller subsystems by gate valves and flow meters. This paper presents the second release of SWANP 2.0 (Smart WAter Network Partitioning and Protection) software that integrates two different algorithms for water network partitioning and a novel algorithm for water network protection from intentional contamination. The SWANP 2.0 software, developed in Python v2.7.6 language, provides to the operators different solutions comparing network layouts with some hydraulic and protection performance indices.
Implement effective programming techniques in Python to build scalable software that saves time a... more Implement effective programming techniques in Python to build scalable software that saves time and memory Key Features Design distributed computing systems and massive computational tasks coherently Learn practical recipes with concise explanations that address development pain points encountered while coding parallel programs Understand how to host your parallelized applications on the cloud Book Description Nowadays, it has become extremely important for programmers to understand the link between the software and the parallel nature of their hardware so that their programs run efficiently on computer architectures. Applications based on parallel programming are fast, robust, and easily scalable. This updated edition features cutting-edge techniques for building effective concurrent applications in Python 3.7. The book introduces parallel programming architectures and covers the fundamental recipes for thread-based and process-based parallelism. You'll learn about mutex, semap...
Key FeaturesGet the first book on the market that shows you the key aspects TensorFlow, how it wo... more Key FeaturesGet the first book on the market that shows you the key aspects TensorFlow, how it works, and how to use it for the second generation of machine learningWant to perform faster and more accurate computations in the field of data science? This book will acquaint you with an all-new refreshing library Tensor Flow!Dive into the next generation of numerical computing and get the most out of your data with this quick guide Book Description Google's Tensor Flow engine, after much fanfare, has evolved in to a robust, user-friendly, and customizable, application-grade software library of machine learning (ML) code for numerical computation and neural networks. This book takes you through the practical software implementation of various machine learning techniques with Tensor Flow. In the first few chapters, you'll gain familiarity with the framework and perform the mathematical operations required for data analysis. As you progress further, you'll learn to implement v...
Master efficient parallel programming to build powerful applications using Python About This Book... more Master efficient parallel programming to build powerful applications using Python About This Book * Design and implement efficient parallel software * Master new programming techniques to address and solve complex programming problems * Explore the world of parallel programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered in great depth Who This Book Is For Python Parallel Programming Cookbook is intended for software developers who are well versed with Python and want to use parallel programming techniques to write powerful and efficient code. This book will help you master the basics and the advanced of parallel computing. What You Will Learn * Synchronize multiple threads and processes to manage parallel tasks * Implement message passing communication between processes to build parallel applications * Program your own GPU cards to address complex problems * Manage computing entities to execu...
Con il termine parallelismo si indica la possibilità di eseguire più operazioni simultaneamente. ... more Con il termine parallelismo si indica la possibilità di eseguire più operazioni simultaneamente. In risposta alla crescente necessità di disporre di elaboratori ad alte prestazioni (high performance computing system) sono stati sviluppati algoritmi ed architetture che consentono una esecuzione concorrente (architetture parallele). Per utilizzare questa classe di macchine è necessario disporre di programmi che possono essere eseguiti su più unità processanti, programma che diremo programma parallelo. È ovvio che la ragione principale perché si voglia eseguire un programma in parallelo è l’aspettativa che il suo tempo complessivo di esecuzione sia significativamente inferiore rispetto al corrispondente programma sequenziale. Affinché questo obiettivo sia raggiungibile è necessario adattare il programma in modo da utilizzare al meglio le caratteristiche architettoniche delle macchine parallele. Questa problematica riguarda l’annotazione delle opportunità di parallelismo e richiede lo s...
ABSTRACT Smart WAter Network (SWAN) can represent an important sub system of Smart Cities if wate... more ABSTRACT Smart WAter Network (SWAN) can represent an important sub system of Smart Cities if water utilities start to use diffusely remote control devices as gate valves and flow meters. These instruments open new perspectives for the management of water supply systems both in terms of water save and water protection. Recently, starting from the advantages offered by computing power and network analysis tools, some techniques based on graph partitioning algorithms have been developed by the authors to improve water management and protection, implementing the paradigm of " divide and conquer " that consists into divide a SWAN in k smaller subsystems by gate valves and flow meters. This paper presents the second release of SWANP 2.0 (Smart WAter Network Partitioning and Protection) software that integrates two different algorithms for water network partitioning and a novel algorithm for water network protection from intentional contamination. The SWANP 2.0 software, developed in Python v2.7.6 language, provides to the operators different solutions comparing network layouts with some hydraulic and protection performance indices.
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