Heterogeneous Computing With Opencl 20

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Heterogeneous Computing with OpenCL 2. 0

Heterogeneous Computing with OpenCL 2. 0
  • Author : David R. Kaeli,Perhaad Mistry,Dana Schaa,Dong Ping Zhang
  • Publisher : Morgan Kaufmann
  • Release Date : 2015-01
  • Total pages : 384
  • ISBN : 0128014148
  • File Size : 37,5 Mb
  • Total Download : 739
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Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: . Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources . Dynamic parallelism which reduces processor load and avoids bottlenecks . Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more

Heterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL
  • Author : Benedict Gaster,Lee Howes,David R. Kaeli,Perhaad Mistry,Dana Schaa
  • Publisher : Newnes
  • Release Date : 2012-11-13
  • Total pages : 309
  • ISBN : 9780124058941
  • File Size : 18,7 Mb
  • Total Download : 965
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Heterogeneous Computing with OpenCL, Second Edition teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. It is the first textbook that presents OpenCL programming appropriate for the classroom and is intended to support a parallel programming course. Students will come away from this text with hands-on experience and significant knowledge of the syntax and use of OpenCL to address a range of fundamental parallel algorithms. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, Heterogeneous Computing with OpenCL explores memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. It includes detailed examples throughout, plus additional online exercises and other supporting materials that can be downloaded at http://www.heterogeneouscompute.org/?page_id=7 This book will appeal to software engineers, programmers, hardware engineers, and students/advanced students. Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications. Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more. Shows how OpenCL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate OpenCL extensions for a variety of hardware platforms

Compiler Construction

Compiler Construction
  • Author : Jens Knoop
  • Publisher : Springer
  • Release Date : 2011-03-15
  • Total pages : 307
  • ISBN : 9783642198618
  • File Size : 13,9 Mb
  • Total Download : 143
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This book constitutes the refereed proceedings of the 20th International Conference on Compiler Construction, CC 2011, held in Saarbrücken, Germany, March 26—April 3, 2011, as part of ETAPS 2011, the European Joint Conferences on Theory and Practice of Software. The 15 revised full papers presented together with the abstract of one invited talk were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections on JIT compilation and code generation, program analysis, reversible computing and interpreters, parallelism and high-performance computing, and task and data distribution.

Heterogeneous Computing with OpenCL 2.0

Heterogeneous Computing with OpenCL 2.0
  • Author : David R. Kaeli,Perhaad Mistry,Dana Schaa,Dong Ping Zhang
  • Publisher : Morgan Kaufmann
  • Release Date : 2015-06-18
  • Total pages : 330
  • ISBN : 9780128016497
  • File Size : 51,6 Mb
  • Total Download : 208
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Download Heterogeneous Computing with OpenCL 2.0 in PDF, Epub, and Kindle

Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more

Neuromorphic Computing and Beyond

Neuromorphic Computing and Beyond
  • Author : Khaled Salah Mohamed
  • Publisher : Springer Nature
  • Release Date : 2020-01-25
  • Total pages : 233
  • ISBN : 9783030372248
  • File Size : 22,7 Mb
  • Total Download : 286
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This book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms.

Advances in Parallel & Distributed Processing, and Applications

Advances in Parallel & Distributed Processing, and Applications
  • Author : Hamid R. Arabnia,Leonidas Deligiannidis,Michael R. Grimaila,Douglas D. Hodson,Kazuki Joe,Masakazu Sekijima,Fernando G. Tinetti
  • Publisher : Springer Nature
  • Release Date : 2021-10-18
  • Total pages : 1228
  • ISBN : 9783030699840
  • File Size : 21,7 Mb
  • Total Download : 874
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The book presents the proceedings of four conferences: The 26th International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'20), The 18th International Conference on Scientific Computing (CSC'20); The 17th International Conference on Modeling, Simulation and Visualization Methods (MSV'20); and The 16th International Conference on Grid, Cloud, and Cluster Computing (GCC'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students. Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the research tracks Parallel and Distributed Processing, Scientific Computing, Modeling, Simulation and Visualization, and Grid, Cloud, and Cluster Computing; Features papers from PDPTA’20, CSC’20, MSV’20, and GCC’20.

Embedded Computer Systems: Architectures, Modeling, and Simulation

Embedded Computer Systems: Architectures, Modeling, and Simulation
  • Author : Alex Orailoglu,Matthias Jung,Marc Reichenbach
  • Publisher : Springer Nature
  • Release Date : 2022-04-26
  • Total pages : 528
  • ISBN : 9783031045806
  • File Size : 20,9 Mb
  • Total Download : 118
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This book constitutes the proceedings of the 21st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 full papers presented in this volume were carefully reviewed and selected from 45 submissions. The papers are organized in topics as follows: simulation and design space exploration; the 3Cs - Cache, Cluster and Cloud; heterogeneous SoC; novel CPU architectures and applications; dataflow; innovative architectures and tools for security; next generation computing; insights from negative results.

OpenCL Programming Guide

OpenCL Programming Guide
  • Author : Aaftab Munshi,Benedict Gaster,Timothy G. Mattson,Dan Ginsburg
  • Publisher : Pearson Education
  • Release Date : 2011-07-07
  • Total pages : 649
  • ISBN : 0132594552
  • File Size : 19,7 Mb
  • Total Download : 743
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Download OpenCL Programming Guide in PDF, Epub, and Kindle

Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, OpenCL has outstanding potential for PCs, servers, handheld/embedded devices, high performance computing, and even cloud systems. This is the first comprehensive, authoritative, and practical guide to OpenCL 1.1 specifically for working developers and software architects. Written by five leading OpenCL authorities, OpenCL Programming Guide covers the entire specification. It reviews key use cases, shows how OpenCL can express a wide range of parallel algorithms, and offers complete reference material on both the API and OpenCL C programming language. Through complete case studies and downloadable code examples, the authors show how to write complex parallel programs that decompose workloads across many different devices. They also present all the essentials of OpenCL software performance optimization, including probing and adapting to hardware. Coverage includes Understanding OpenCL’s architecture, concepts, terminology, goals, and rationale Programming with OpenCL C and the runtime API Using buffers, sub-buffers, images, samplers, and events Sharing and synchronizing data with OpenGL and Microsoft’s Direct3D Simplifying development with the C++ Wrapper API Using OpenCL Embedded Profiles to support devices ranging from cellphones to supercomputer nodes Case studies dealing with physics simulation; image and signal processing, such as image histograms, edge detection filters, Fast Fourier Transforms, and optical flow; math libraries, such as matrix multiplication and high-performance sparse matrix multiplication; and more Source code for this book is available at https://code.google.com/p/opencl-book-samples/

Embedded Computing for High Performance

Embedded Computing for High Performance
  • Author : João Manuel Paiva Cardoso,José Gabriel de Figueiredo Coutinho,Pedro C. Diniz
  • Publisher : Morgan Kaufmann
  • Release Date : 2017-06-13
  • Total pages : 320
  • ISBN : 9780128041994
  • File Size : 41,7 Mb
  • Total Download : 942
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Embedded Computing for High Performance: Design Exploration and Customization Using High-level Compilation and Synthesis Tools provides a set of real-life example implementations that migrate traditional desktop systems to embedded systems. Working with popular hardware, including Xilinx and ARM, the book offers a comprehensive description of techniques for mapping computations expressed in programming languages such as C or MATLAB to high-performance embedded architectures consisting of multiple CPUs, GPUs, and reconfigurable hardware (FPGAs). The authors demonstrate a domain-specific language (LARA) that facilitates retargeting to multiple computing systems using the same source code. In this way, users can decouple original application code from transformed code and enhance productivity and program portability. After reading this book, engineers will understand the processes, methodologies, and best practices needed for the development of applications for high-performance embedded computing systems. Focuses on maximizing performance while managing energy consumption in embedded systems Explains how to retarget code for heterogeneous systems with GPUs and FPGAs Demonstrates a domain-specific language that facilitates migrating and retargeting existing applications to modern systems Includes downloadable slides, tools, and tutorials

Heterogeneous Computing Architectures

Heterogeneous Computing Architectures
  • Author : Olivier Terzo,Karim Djemame,Alberto Scionti,Clara Pezuela
  • Publisher : CRC Press
  • Release Date : 2019-09-10
  • Total pages : 316
  • ISBN : 9780429680045
  • File Size : 48,6 Mb
  • Total Download : 915
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Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and Cloud computing are not separate trends, but aspects of a single trend-mainstream; computers from desktop to smartphones are being permanently transformed into heterogeneous supercomputer clusters. The reader will get an organic perspective of modern heterogeneous systems and their future evolution.

Parallel Computing: On the Road to Exascale

Parallel Computing: On the Road to Exascale
  • Author : G.R. Joubert,H. Leather,M. Parsons
  • Publisher : IOS Press
  • Release Date : 2016-04-28
  • Total pages : 872
  • ISBN : 9781614996217
  • File Size : 34,9 Mb
  • Total Download : 580
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As predicted by Gordon E. Moore in 1965, the performance of computer processors increased at an exponential rate. Nevertheless, the increases in computing speeds of single processor machines were eventually curtailed by physical constraints. This led to the development of parallel computing, and whilst progress has been made in this field, the complexities of parallel algorithm design, the deficiencies of the available software development tools and the complexity of scheduling tasks over thousands and even millions of processing nodes represent a major challenge to the construction and use of more powerful parallel systems. This book presents the proceedings of the biennial International Conference on Parallel Computing (ParCo2015), held in Edinburgh, Scotland, in September 2015. Topics covered include computer architecture and performance, programming models and methods, as well as applications. The book also includes two invited talks and a number of mini-symposia. Exascale computing holds enormous promise in terms of increasing scientific knowledge acquisition and thus contributing to the future well-being and prosperity of mankind. A number of innovative approaches to the development and use of future high-performance and high-throughput systems are to be found in this book, which will be of interest to all those whose work involves the handling and processing of large amounts of data.

Advances in GPU Research and Practice

Advances in GPU Research and Practice
  • Author : Hamid Sarbazi Azad
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-09-15
  • Total pages : 774
  • ISBN : 9780128037881
  • File Size : 39,9 Mb
  • Total Download : 450
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Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues. Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms that are proposed and analyzed to help and support GPU programmers. Part III: Power and Reliability Issues covers different aspects of energy, power, and reliability concerns in GPUs. Part IV: Performance Analysis illustrates mathematical and analytical techniques to predict different performance metrics in GPUs. Part V: Algorithms presents how to design efficient algorithms and analyze their complexity for GPUs. Part VI: Applications and Related Topics provides use cases and examples of how GPUs are used across many sectors. Discusses how to maximize power and obtain peak reliability when designing, building, and using GPUs Covers system software (OS, compilers), programming environments, languages, and paradigms proposed to help and support GPU programmers Explains how to use mathematical and analytical techniques to predict different performance metrics in GPUs Illustrates the design of efficient GPU algorithms in areas such as bioinformatics, complex systems, social networks, and cryptography Provides applications and use case scenarios in several different verticals, including medicine, social sciences, image processing, and telecommunications

Applied Reconfigurable Computing

Applied Reconfigurable Computing
  • Author : Stephan Wong,Antonio Carlos Beck,Koen Bertels,Luigi Carro
  • Publisher : Springer
  • Release Date : 2017-03-30
  • Total pages : 332
  • ISBN : 9783319562582
  • File Size : 12,9 Mb
  • Total Download : 736
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This book constitutes the refereed proceedings of the 13th International Symposium on Applied Reconfigurable Computing, ARC 2017, held in Delft, The Netherlands, in April 2017. The 17 full papers and 11 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They are organized in topical sections on adaptive architectures, embedded computing and security, simulation and synthesis, design space exploration, fault tolerance, FGPA-based designs, neural neworks, and languages and estimation techniques.

Euro-Par 2012: Parallel Processing Workshops

Euro-Par 2012: Parallel Processing Workshops
  • Author : Ioannis Caragiannis,Michael Alexander,Rosa Maria Badia,Mario Cannataro,Alexandru Costan,Marco Danelutto,Frédéric Desprez,Bettina Krammer,Julio Sahuquillo,Stephen L Scott,Josef Weidendorfer
  • Publisher : Springer
  • Release Date : 2013-02-15
  • Total pages : 589
  • ISBN : 9783642369490
  • File Size : 26,5 Mb
  • Total Download : 142
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This book constitutes thoroughly refereed post-conference proceedings of the workshops of the 18th International Conference on Parallel Computing, Euro-Par 2012, held in Rhodes Islands, Greece, in August 2012. The papers of these 10 workshops BDMC, CGWS, HeteroPar, HiBB, OMHI, Paraphrase, PROPER, UCHPC, VHPC focus on promotion and advancement of all aspects of parallel and distributed computing.

Heterogeneous Computing Architectures

Heterogeneous Computing Architectures
  • Author : Olivier Terzo,Karim Djemame,Alberto Scionti,Clara Pezuela
  • Publisher : CRC Press
  • Release Date : 2019-09-10
  • Total pages : 315
  • ISBN : 9780429680038
  • File Size : 10,8 Mb
  • Total Download : 367
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Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and Cloud computing are not separate trends, but aspects of a single trend-mainstream; computers from desktop to smartphones are being permanently transformed into heterogeneous supercomputer clusters. The reader will get an organic perspective of modern heterogeneous systems and their future evolution.

Computer Vision in Medical Imaging

Computer Vision in Medical Imaging
  • Author : C H Chen
  • Publisher : World Scientific
  • Release Date : 2013-11-18
  • Total pages : 412
  • ISBN : 9789814460958
  • File Size : 12,5 Mb
  • Total Download : 654
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Download Computer Vision in Medical Imaging in PDF, Epub, and Kindle

The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs. Contents:An Introduction to Computer Vision in Medical Imaging (Chi Hau Chen)Theory and Methodologies:Distribution Matching Approaches to Medical Image Segmentation (Ismail Ben Ayed)Digital Pathology in Medical Imaging (Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez)Adaptive Shape Prior Modeling via Online Dictionary Learning (Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas)Feature-Centric Lesion Detection and Retrieval in Thoracic Images (Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng)A Novel Paradigm for Quantitation from MR Phase (Joseph Dagher)A Multi-Resolution Active Contour Framework for Ultrasound Image Segmentation (Weiming Wang, Jing Qin, Pheng-Ann Heng, Yim-Pan Chui, Liang Li and Bing Nan Li)2D, 3D Reconstructions/Imaging Algorithms, Systems & Sensor Fusion:Model-Based Image Reconstruction in Optoacoustic Tomography (Amir Rosenthal, Daniel Razansky and Vasilis Ntziachristos)The Fusion of Three-Dimensional Quantitative Coronary Angiography and Intracoronary Imaging for Coronary Interventions (Shengxian Tu, Niels R Holm, Johannes P Janssen and Johan H C Reiber)Three-Dimensional Reconstruction Methods in Near-Field Coded Aperture for SPECT Imaging System (Stephen Baoming Hong)Ultrasound Volume Reconstruction based on Direct Frame Interpolation (Sergei Koptenko, Rachel Remlinger, Martin Lachaine, Tony Falco and Ulrich Scheipers)Deconvolution Technique for Enhancing and Classifying the Retinal Images (Uvais A Qidwai and Umair A Qidwai)Medical Ultrasound Digital Signal Processing in the GPU Computing Era (Marcin Lewandowski)Developing Medical Image Processing Algorithms for GPU Assisted Parallel Computation (Mathias Broxvall and Marios Daotis)Specific Image Processing and Computer Vision Methods for Different Imaging Modalities Including IVUS, MRI, etc.:Computer Vision in Interventional Cardiology (Kendall R Waters)Pattern Classification of Brain Diffusion MRI: Application to Schizophrenia Diagnosis (Ali Tabesh, Matthew J Hoptman, Debra D'Angelo and Babak A Ardekani)On Compressed Sensing Reconstruction for Magnetic Resonance Imaging (Benjamin Paul Berman, Sagar Mandava and Ali Bilgin)On Hierarchical Statistical Shape Models with Application to Brain MRI (Juan J Cerrolaza, Arantxa Villanueva and Rafael Cabeza)Advanced PDE-based Methods for Automatic Quantification of Cardiac Function and Scar from Magnetic Resonance Imaging (Durco Turco and Cristiana Corsi)Automated IVUS Segmentation Using Deformable Template Model with Feature Tracking (Prakash Manandhar and Chi Hau Chen) Readership: Researchers, professionals and academics in machine perception/computer vision, pattern recognition/image analysis, nuclear medicine, bioengineering & cardiology. Keywords:Medical Imaging;Computer Vision;Image Segmentation;Machine Learning;3D InformationKey Features:Uses computer vision techniques for medical imaging dataCovers image processing and segmentation algorithms in intravascular ultrasound, PETscan data, MRI dataEmphaisises 3D information extraction from medical imaging data

High Performance Computing

High Performance Computing
  • Author : Juan Luis Crespo-Mariño,Esteban Meneses-Rojas
  • Publisher : Springer Nature
  • Release Date : 2020-02-12
  • Total pages : 488
  • ISBN : 9783030410056
  • File Size : 19,6 Mb
  • Total Download : 697
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This book constitutes the refereed proceedings of the 6th Latin American High Performance Computing Conference, CARLA 2019, held in Turrialba, Costa Rica, in September 2019. The 32 revised full papers presented were carefully reviewed and selected out of 62 submissions. The papers included in this book are organized according to the conference tracks - regular track on high performance computing: applications; algorithms and models; architectures and infrastructures; and special track on bioinspired processing (BIP): neural and evolutionary approaches; image and signal processing; biodiversity informatics and computational biology.

International Conference on Computational and Information Sciences (ICCIS) 2014

International Conference on Computational and Information Sciences (ICCIS) 2014
  • Author : Anonim
  • Publisher : DEStech Publications, Inc
  • Release Date : 2014-11-11
  • Total pages : 1356
  • ISBN : 9781605951935
  • File Size : 45,7 Mb
  • Total Download : 699
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The 6th International Conference on Computational and Information Sciences (ICCIS2014) will be held in NanChong, China. The 6th International Conference on Computational and Information Sciences (ICCIS2014)aims at bringing researchers in the areas of computational and information sciences to exchange new ideas and to explore new ground. The goal of the conference is to push the application of modern computing technologies to science, engineering, and information technologies.Following the success of ICCIS2004,ICCIS2010 and ICCIS2011,ICCIS2012,ICCIS2013,ICCIS2014 conference will consist of invited keynote presentations and contributed presentations of latest developments in computational and information sciences. The 2014 International Conference on Computational and Information Sciences (ICCIS 2014), now in its sixth run, has become one of the premier conferences in this dynamic and exciting field. The goal of ICCIS is to catalyze the communications among various communities in computational and information sciences. ICCIS provides a venue for the participants to share their recent research and development, to seek for collaboration resources and opportunities, and to build professional networks.

Handbook of Large-Scale Distributed Computing in Smart Healthcare

Handbook of Large-Scale Distributed Computing in Smart Healthcare
  • Author : Samee U. Khan,Albert Y. Zomaya,Assad Abbas
  • Publisher : Springer
  • Release Date : 2017-08-07
  • Total pages : 635
  • ISBN : 9783319582801
  • File Size : 50,6 Mb
  • Total Download : 542
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This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs. The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.

Cloud Computing and Big Data: Technologies, Applications and Security

Cloud Computing and Big Data: Technologies, Applications and Security
  • Author : Mostapha Zbakh,Mohammed Essaaidi,Pierre Manneback,Chunming Rong
  • Publisher : Springer
  • Release Date : 2018-07-27
  • Total pages : 394
  • ISBN : 9783319977195
  • File Size : 40,8 Mb
  • Total Download : 364
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This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data. Cloud computing, which can be seen as any subscription-based or pay-per-use service that extends the Internet’s existing capabilities, has gained considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools. It is a new paradigm that has ushered in a revolution in both data storage and computation. In parallel to this progress, Big Data technologies, which rely heavily on cloud computing platforms for both data storage and processing, have been developed and deployed at breathtaking speed. They are among the most frequently used technologies for developing applications and services in many fields, such as the web, health, and energy. Accordingly, cloud computing and Big Data technologies are two of the most central current and future research mainstreams. They involve and impact a host of fields, including business, scientific research, and public and private administration. Gathering extended versions of the best papers presented at the Third International Conference on Cloud Computing Technologies and Applications (CloudTech’17), this book offers a valuable resource for all Information System managers, researchers, students, developers, and policymakers involved in the technological and application aspects of cloud computing and Big Data.

Parallel Computing: Technology Trends

Parallel Computing: Technology Trends
  • Author : I. Foster,G.R. Joubert,L. Kučera
  • Publisher : IOS Press
  • Release Date : 2020-03-25
  • Total pages : 806
  • ISBN : 9781643680712
  • File Size : 31,7 Mb
  • Total Download : 560
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The year 2019 marked four decades of cluster computing, a history that began in 1979 when the first cluster systems using Components Off The Shelf (COTS) became operational. This achievement resulted in a rapidly growing interest in affordable parallel computing for solving compute intensive and large scale problems. It also directly lead to the founding of the Parco conference series. Starting in 1983, the International Conference on Parallel Computing, ParCo, has long been a leading venue for discussions of important developments, applications, and future trends in cluster computing, parallel computing, and high-performance computing. ParCo2019, held in Prague, Czech Republic, from 10 – 13 September 2019, was no exception. Its papers, invited talks, and specialized mini-symposia addressed cutting-edge topics in computer architectures, programming methods for specialized devices such as field programmable gate arrays (FPGAs) and graphical processing units (GPUs), innovative applications of parallel computers, approaches to reproducibility in parallel computations, and other relevant areas. This book presents the proceedings of ParCo2019, with the goal of making the many fascinating topics discussed at the meeting accessible to a broader audience. The proceedings contains 57 contributions in total, all of which have been peer-reviewed after their presentation. These papers give a wide ranging overview of the current status of research, developments, and applications in parallel computing.