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FPGA-Based High Performance Parallel Computing

High-performance computing refers to the use of advanced computing technologies, especially supercomputers, to solve highly complex;

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High Performance Computing

In the last decade, parallel computing technologies have transformed high-performance computing. Two trends have emerged massively parallel;

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Parallel and Distributed Processing Techniques and Applications

, GPU, FPGA Processing and Applications Data-Driven Networking Systems with High Tolerance for Disaster, Fault and Congestion Position and;

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Parallel and Distributed Processing Techniques and Applications

, GPU, FPGA Processing and Applications Data-Driven Networking Systems with High Tolerance for Disaster, Fault and Congestion Position and;

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Parallel Computing

The book Parallel Computing deals with the topics of current interest in high performance computing, viz. pipeline and parallel;

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Euro-Par 2015: Parallel Processing Workshops

- PADAPS: Third Workshop on Parallel and Distributed Agent-Based Simulations - PELGA: Workshop on Performance Engineering for Large-Scale Graph;

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Euro-Par 2016: Parallel Processing Workshops

Virtual Environments) - PADABS (Fourth Workshop on Parallel and Distributed Agent-Based Simulations) - PBio (Fourth International Workshop on;

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Parallel Processing and Applied Mathematics

factorizations. Part II: workshop on language-based parallel programming models (WLPP 2019); workshop on models algorithms and methodologies for;

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Applied Parallel and Scientific Computing

, simulations of atomic scale systems, tools and environments for accelerator based computational biomedicine, GPU computing, high performance computing;

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Introduction to High Performance Computing for Scientists and Engineers

well as manufacturers of parallel computers. The text first introduces the architecture of modern cache-based microprocessors and discusses;

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Parallel Processing and Applied Mathematics

parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical;

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Parallel Processing and Applied Mathematics

scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms;

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Tools for High Performance Computing 2018 / 2019

discuss the latest advances in parallel tools for high-performance computing. High-performance computing plays an increasingly important role;

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Parallel Processing and Applied Mathematics

factorizations. Part II: workshop on language-based parallel programming models (WLPP 2019); workshop on models algorithms and methodologies for;

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FPGA Algorithms and Applications for the Internet of Things

. FPGA Algorithms and Applications in the IoT, AI, and High-Performance Computing provides emerging research exploring the theoretical and;

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Data Parallel C++

CPU, GPU, FPGA)Use SYCL and SYCL compilers Connect with computing's heterogeneous future via Intel's oneAPI initiative Who This;

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High Performance Heterogeneous Computing

An analytical overview of the state of the art, open problems, and future trends in heterogeneous parallel and distributed computing This;

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High-Performance Computing on the Intel (R) Xeon Phi (TM)

in parallel and high-performance computing - it will guide them on how to push the limits of system performance for HPC applications.;

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High Performance Computing in Remote Sensing

illustrates a specific parallel computing paradigm, including multiprocessor (cluster-based) systems, large-scale and heterogeneous networks;

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High Performance Computing in Remote Sensing

illustrates a specific parallel computing paradigm, including multiprocessor (cluster-based) systems, large-scale and heterogeneous networks;

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Parallel Computing Architectures and APIs

Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were;

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Programming Massively Parallel Processors

students to think about problems in ways that are amenable to high-performance parallel computing. It utilizes CUDA (Compute Unified Device;

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High-Performance Algorithms for Mass Spectrometry-Based Omics

, CPU-GPU, CPU-FPGA, and IntelPhi architectures. The absence of these high-performance computing algorithms now hinders;

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A Practical Approach to High-Performance Computing

The book discusses the fundamentals of high-performance computing. The authors combine visualization, comprehensibility, and strictness;

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A Practical Approach to High-Performance Computing

The book discusses the fundamentals of high-performance computing. The authors combine visualization, comprehensibility, and strictness;

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Euro-Par 2020: Parallel Processing

This book constitutes the proceedings of the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, held;

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Practical Parallel Computing

These ten papers represent a range of applications for the practical use of parallel computing. They address large scale high performance;

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