High Performance Tensor Computations In Scientific Computing And Data Science
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High Performance Tensor Computations In Scientific Computing And Data Science
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Author : Edoardo Angelo Di Napoli
language : en
Publisher: Frontiers Media SA
Release Date : 2022-11-08
High Performance Tensor Computations In Scientific Computing And Data Science written by Edoardo Angelo Di Napoli and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-08 with Science categories.
Computational Science Iccs 2019
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Author : João M. F. Rodrigues
language : en
Publisher: Springer
Release Date : 2019-06-07
Computational Science Iccs 2019 written by João M. F. Rodrigues and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-07 with Computers categories.
The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
User Defined Tensor Data Analysis
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Author : Bin Dong
language : en
Publisher: Springer Nature
Release Date : 2021-09-29
User Defined Tensor Data Analysis written by Bin Dong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-29 with Computers categories.
The SpringerBrief introduces FasTensor, a powerful parallel data programming model developed for big data applications. This book also provides a user's guide for installing and using FasTensor. FasTensor enables users to easily express many data analysis operations, which may come from neural networks, scientific computing, or queries from traditional database management systems (DBMS). FasTensor frees users from all underlying and tedious data management tasks, such as data partitioning, communication, and parallel execution. This SpringerBrief gives a high-level overview of the state-of-the-art in parallel data programming model and a motivation for the design of FasTensor. It illustrates the FasTensor application programming interface (API) with an abundance of examples and two real use cases from cutting edge scientific applications. FasTensor can achieve multiple orders of magnitude speedup over Spark and other peer systems in executing big data analysis operations. FasTensor makes programming for data analysis operations at large scale on supercomputers as productively and efficiently as possible. A complete reference of FasTensor includes its theoretical foundations, C++ implementation, and usage in applications. Scientists in domains such as physical and geosciences, who analyze large amounts of data will want to purchase this SpringerBrief. Data engineers who design and develop data analysis software and data scientists, and who use Spark or TensorFlow to perform data analyses, such as training a deep neural network will also find this SpringerBrief useful as a reference tool.
Driving Scientific And Engineering Discoveries Through The Convergence Of Hpc Big Data And Ai
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Author : Jeffrey Nichols
language : en
Publisher: Springer Nature
Release Date : 2020-12-22
Driving Scientific And Engineering Discoveries Through The Convergence Of Hpc Big Data And Ai written by Jeffrey Nichols and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-22 with Computers categories.
This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.
High Performance Computing
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Author : Michèle Weiland
language : en
Publisher: Springer Nature
Release Date : 2019-12-02
High Performance Computing written by Michèle Weiland and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-02 with Computers categories.
This book constitutes the refereed post-conference proceedings of 13 workshops held at the 34th International ISC High Performance 2019 Conference, in Frankfurt, Germany, in June 2019: HPC I/O in the Data Center (HPC-IODC), Workshop on Performance & Scalability of Storage Systems (WOPSSS), Workshop on Performance & Scalability of Storage Systems (WOPSSS), 13th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '18), 3rd International Workshop on In Situ Visualization: Introduction and Applications, ExaComm: Fourth International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale, International Workshop on OpenPOWER for HPC (IWOPH18), IXPUG Workshop: Many-core Computing on Intel, Processors: Applications, Performance and Best-Practice Solutions, Workshop on Sustainable Ultrascale Computing Systems, Approximate and Transprecision Computing on Emerging Technologies (ATCET), First Workshop on the Convergence of Large Scale Simulation and Artificial Intelligence, 3rd Workshop for Open Source Supercomputing (OpenSuCo), First Workshop on Interactive High-Performance Computing, Workshop on Performance Portable Programming Models for Accelerators (P^3MA). The 48 full papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include HPC computer architecture and hardware; programming models, system software, and applications; solutions for heterogeneity, reliability, power efficiency of systems; virtualization and containerized environments; big data and cloud computing; and artificial intelligence.
Large Scale Scientific Computing
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Author : Ivan Lirkov
language : en
Publisher: Springer Nature
Release Date : 2020-02-13
Large Scale Scientific Computing written by Ivan Lirkov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-13 with Computers categories.
This book constitutes revised papers from the 12th International Conference on Large-Scale Scientific Computing, LSSC 2019, held in Sozopol, Bulgaria, in June 2019. The 70 papers presented in this volume were carefully reviewed and selected from 81 submissions. The book also contains two invited talks. The papers were organized in topical sections named as follows: control and optimization of dynamical systems; meshfree and particle methods; fractional diffusion problems: numerical methods, algorithms and applications; pore scale flow and transport simulation; tensors based algorithms and structures in optimization and applications; HPC and big data: algorithms and applications; large-scale models: numerical methods, parallel computations and applications; monte carlo algorithms: innovative applications in conjunctions with other methods; application of metaheuristics to large-scale problems; large scale machine learning: multiscale algorithms and performance guarantees; and contributed papers.
Efficient Numerical Computing With Intel Mkl
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-19
Efficient Numerical Computing With Intel Mkl written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Computers categories.
"Efficient Numerical Computing with Intel MKL" Efficient Numerical Computing with Intel MKL is an essential resource for scientists, engineers, and data professionals seeking to harness the full potential of modern computational hardware through the Intel Math Kernel Library (MKL). The book begins with a detailed exploration of contemporary CPU architectures and the numerically intensive workloads they support, delving into fundamental paradigms of numerical computing and demonstrating how MKL’s design was forged to maximize hardware utilization. Readers are introduced to key concepts in dense and sparse computations, library design philosophies, and the intricate interplay of software optimization and hardware efficiency. Structured as a comprehensive guide, the book walks users from initial MKL installation and system integration across varied platforms, through high-performance applications in BLAS, LAPACK, FFTs, statistical routines, and vector mathematics. Each major domain is covered with practical insights into threading, memory layout, precision management, and performance benchmarking, enriched with case studies and real-world applications in scientific computing, engineering, machine learning, and large-scale analytics. The text further clarifies advanced linear algebra methods, Fourier and spectral transforms, random number and statistical analyses, and the deployment of multi-threaded and distributed numerical workloads. Beyond technical execution, the book embraces MKL’s growing ecosystem—offering practical strategies for interoperability with C, C++, Fortran, Python, Julia, and R, integration with cloud and container environments, and the path forward with emerging hardware and software trends. Concluding with a look at the future of high-performance numerics, including open-source initiatives, new accelerator hardware, and the community’s role in pushing research frontiers, Efficient Numerical Computing with Intel MKL stands as a definitive reference and a practical roadmap for modern, reliable, and scalable numerical computation.
Intelligent Computing
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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2023-08-31
Intelligent Computing written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-31 with Technology & Engineering categories.
This book is a collection of insightful and unique state-of the-art papers presented at the Computing Conference which took place in London on June 22–23, 2023. A total of 539 papers were received out of which 193 were selected for presenting after double-blind peer-review. The book covers a wide range of scientific topics including IoT, Artificial Intelligence, Computing, Data Science, Networking, Data security and Privacy, etc. The conference was successful in reaping the advantages of both online and offline modes. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.
Advanced Numpy Techniques A Comprehensive Guide To Data Analysis And Computation
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Author : Peter Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-18
Advanced Numpy Techniques A Comprehensive Guide To Data Analysis And Computation written by Peter 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 2025-01-18 with Computers categories.
Advanced NumPy Techniques: A Comprehensive Guide to Data Analysis and Computation begins with a profound exploration of NumPy's core: the powerful and efficient `ndarray` data structure, which serves as the foundation for Python's data science ecosystem. The book covers universal functions for element-wise operations, broadcasting semantics for operations on differently shaped arrays, and linear algebra computations within NumPy. These principles will enable you to handle numerical problems with efficacy. The guide also delves into random number generation and sampling techniques for simulations and probabilistic analysis, and explores NumPy's file I/O functionality for effective data management. Throughout, clear explanations are accompanied by insightful tips and best practices. Practical examples clarify concepts, while common pitfalls are outlined to smooth your learning journey. This comprehensive guide equips you with the knowledge to perform advanced computations, and craft algorithms with NumPy, catering to both novices eager to learn and experienced analysts seeking to sharpen their skills.
Convergence Artificial Intelligence And Quantum Computing
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Author : Greg Viggiano
language : en
Publisher: John Wiley & Sons
Release Date : 2022-11-03
Convergence Artificial Intelligence And Quantum Computing written by Greg Viggiano and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-03 with Computers categories.
Prepare for the coming convergence of AI and quantum computing A collection of essays from 20 renowned, international authors working in industry, academia, and government, Convergence: Artificial Intelligence and Quantum Computing explains the impending convergence of artificial intelligence and quantum computing. A diversity of viewpoints is presented, each offering their view of this coming watershed event. In the book, you’ll discover that we’re on the cusp of seeing the stuff of science fiction become reality, with huge implications for ripping up the existing social fabric, global economy, and current geopolitical order. Along with an incisive foreword by Hugo- and Nebula-award winning author David Brin, you’ll also find: Explorations of the increasing pace of technological development Explanations of why seemingly unusual and surprising breakthroughs might be just around the corner Maps to navigate the potential minefields that await us as AI and quantum computing come together A fascinating and thought-provoking compilation of insights from some of the leading technological voices in the world, Convergence convincingly argues that we should prepare for a world in which very little will remain the same and shows us how to get ready.