Parallel processing Books
Association of Computing Machinery,U.S. Edsger Wybe Dijkstra
Book SynopsisEdsger Wybe Dijkstra (1930-2002) was one of the most influential researchers in the history of computer science, making fundamental contributions to both the theory and practice of computing. In this book, 31 computer scientists present and discuss Dijkstra’s numerous contributions to computing science and assess their impact.
£99.90
Springer International Publishing AG Parallel Processing and Applied Mathematics: 14th
Book SynopsisThis two-volume set, LNCS 13826 and LNCS 13827, constitutes the proceedings of the 14th International Conference on Parallel Processing and Applied Mathematics, PPAM 2022, held in Gdansk, Poland, in September 2022.The 77 regular papers presented in these volumes were selected from 132 submissions. For regular tracks of the conference, 33 papers were selected from 62 submissions.The papers were organized in topical sections named as follows:Part I: numerical algorithms and parallel scientific computing; parallel non-numerical algorithms; GPU computing; performance analysis and prediction in HPC systems; scheduling for parallel computing; environments and frameworks for parallel/cloud computing; applications of parallel and distributed computing; soft computing with applications and special session on parallel EVD/SVD and its application in matrix computations.Part II: 9th Workshop on Language-Based Parallel Programming (WLPP 2022); 6th Workshop on Models, Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2022); first workshop on quantum computing and communication; First Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing (WAML 2022); 4th workshop on applied high performance numerical algorithms for PDEs; 5th minisymposium on HPC applications in physical sciences; 8th minisymposium on high performance computing interval methods; 7th workshop on complex collective systems.Table of ContentsNumerical Algorithms and Parallel Scientific Computing.- How accurate does Newton have to be?.- General framework for deriving reproducible Krylov subspace algorithms: BiCGStab case.- A generalized parallel prefix sums algorithm for arbitrary size array.- Infinite-Precision Inner Product and Sparse Matrix-Vector Multiplication Using Ozaki Scheme with Dot2 on Manycore Processors.- Advanced Stochastic Approaches for Applied Computing in Environmental Modeling.- Parallel Non-numerical Algorithms.- Parallel Suffix Sorting for Large String Analytics.- Parallel Extremely Randomized Decision Forests on Graphics Processors for Text Classification.- RDBMS speculative support improvement by the use of the query hypergraph representation.- GPU Computing.- Mixed Precision Algebraic Multigrid on GPUs.- Compact in-memory representation of decision trees in GPU-accelerated evolutionary induction.- Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs.- Performance Analysis and Prediction in HPC Systems.- Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications.- Cost and Performance Analysis of MPI-based SaaS on the Private Cloud Infrastructure.- Building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations.- Evaluation of machine learning techniques for predicting run times of scientific workflow jobs.- Smart clustering of HPC applications using similar job detection methods.- Scheduling for Parallel Computing.- Distributed Work Stealing in a Task-Based Dataflow Runtime.- Task Scheduler for Heterogeneous Data Centres based on Deep Reinforcement Learning.- Shisha: Online scheduling of CNN pipelines on heterogeneous architectures.- Proactive Task Offloading for Load Balancing in Iterative Applications.- Environments and Frameworks for Parallel/Cloud Computing.- Language Agnostic Approach for Unification of Implementation Variants for Different Computing Devices.- High Performance Dataframes from Parallel Processing Patterns.- Global Access to Legacy Data-Sets in Multi-Cloud Applications with Onedata.- Applications of Parallel and Distributed Computing.- MD-Bench: A generic proxy-app toolbox for state-of-the-art molecular dynamics algorithms.- Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software.- GPU-based Molecular Dynamics of Turbulent Liquid Flows with OpenMM.- A novel parallel approach for modeling the dynamics of aerodynamically interacting particles in turbulent flows.- Reliable energy measurement on heterogeneous Systems–on–Chip based environments.- Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans.- Soft Computing with Applications.- GPU4SNN: GPU-based Acceleration for Spiking Neural Network Simulations.- Ant System Inspired Heuristic Optimization of UAVs Deployment for k-Coverage Problem.- Dataset related experimental investigation of chess position evaluation using a deep neural network.- Using AI-based edge processing in monitoring the pedestrian crossing.- Special Session on Parallel EVD/SVD and its Application in Matrix Computations.- Automatic code selection for the dense symmetric generalized eigenvalue problem using ATMathCoreLib.- On Relative Accuracy of the One-Sided Block-Jacobi SVD Algorithm.
£53.99
Springer International Publishing AG Parallel Processing and Applied Mathematics: 14th
Book SynopsisThis two-volume set, LNCS 13826 and LNCS 13827, constitutes the proceedings of the 14th International Conference on Parallel Processing and Applied Mathematics, PPAM 2022, held in Gdansk, Poland, in September 2022.The 77 regular papers presented in these volumes were selected from 132 submissions. For regular tracks of the conference, 33 papers were selected from 62 submissions.The papers were organized in topical sections named as follows:Part I: numerical algorithms and parallel scientific computing; parallel non-numerical algorithms; GPU computing; performance analysis and prediction in HPC systems; scheduling for parallel computing; environments and frameworks for parallel/cloud computing; applications of parallel and distributed computing; soft computing with applications and special session on parallel EVD/SVD and its application in matrix computations.Part II: 9th Workshop on Language-Based Parallel Programming (WLPP 2022); 6th Workshop on Models, Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2022); first workshop on quantum computing and communication; First Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing (WAML 2022); 4th workshop on applied high performance numerical algorithms for PDEs; 5th minisymposium on HPC applications in physical sciences; 8th minisymposium on high performance computing interval methods; 7th workshop on complex collective systems.Table of Contents9th Workshop on Language-Based Parallel Programming (WLPP 2022).- Kokkos-Based Implementation of MPCD on Heterogeneous Nodes.- Comparison of Load Balancing Schemes for Asynchronous Many-Task Runtimes.- New Insights on the Revised Definition of the Performance Portability Metric.- Inferential statistical analysis of performance portability.- NPDP Benchmark Suite for Loop Tiling Effectiveness Evaluation.- Parallel Vectorized Implementations of Compensated Summation Algorithms.- 6th Workshop on Models, Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2022).- Malleability Techniques for HPC Systems.- Algorithm and software overhead: a theoretical approach to performance portability.- Benchmarking A High Performance Computing Heterogeneous Cluster.- A Generative Adversarial Network approach for noise and artifacts reduction in MRI head and neck imaging.- A GPU accelerated Hyperspectral 3D Convolutional Neural Network Classification at the Edge with Principal Component Analysis preprocessing.- Parallel gEUD models for accelerated IMRT planning on modern HPC platforms.- First Workshop on Quantum Computing and Communication.- On Quantum-Assisted LDPC Decoding Augmented with Classical Post-Processing.- Quantum annealing to solve the unrelated parallel machine scheduling problem.- Early experiences with a photonic quantum simulator for solving Job Shop Scheduling Problem.- Some remarks on super-gram operators for general bipartite quantum states.- Solving the Traveling Salesman Problem with a Hybrid Quantum-Classical Feedforward Neural Network.- Software aided analysis of EWL based quantum games.- First Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing (WAML 2022).- Adaptation of AI-accelerated CFD simulations to the IPU platform.- Performance Analysis of Convolution Algorithms for Deep Learning on Edge Processors.- Machine Learning-based Online Scheduling in Distributed Computing.- High Performance Computing Queue Time Prediction using Clustering and Regression.- Acceptance Rates of Invertible Neural Networks on Electron Spectra from Near-Critical Laser-Plasmas: A Comparison.- 4th Workshop on Applied High Performance Numerical Algorithms for PDEs.- MATLAB implementation of hp finite elements on rectangles using hierarchical basis functions.- Adaptive Parallel Average Schwarz Preconditioner for Crouzeix-Raviart Finite Volume Method.- Parareal method for anisotropic diffusion denoising.- Comparison of block preconditioners for the Stokes problem with discontinuous viscosity and friction.- On minimization of nonlinear energies using FEM in MATLAB.- A model for crowd evacuation dynamics: 2D numerical simulations.- 5th Minisymposium on HPC Applications in Physical Sciences.- Parallel Identification of Unique Sequences in Nuclear Structure Calculations.- Experimental and computer study of molecular dynamics of a new pyridazine derivative.- Description of magnetic nanomolecules by the extended multi-orbital Hubbard model: perturbative vs numerical approach.- Structural and electronic properties of small-diameter Carbon NanoTubes: a DFT study.- 8th Minisymposium on High Performance Computing Interval Methods.- Need for Techniques Intermediate Between Interval and Probabilistic Ones.- A Cross-Platform Benchmark for Interval Computation Libraries.- Testing interval arithmetic libraries, including their IEEE-1788 compliance.- A survey of interval algorithms for solving multicriteria analysis problems.- 7th Workshop on Complex Collective Systems.- Social Fragmentation Transitions in Large-Scale Parameter Sweep Simulations of Adaptive Social Networks.- Parking search in urban street networks: Taming down the complexity of the search-time problem via a coarse-graining approach.- A multi-agent cellular automata model of lane changing behaviour considering the aggressiveness and the autonomy.- Comparison of the use of UWB and BLE as positioning methods in data-driven modeling of pedestrian dynamics.- An Insight into the State-of-the-Art Vehicular Fog Computing with an Opportunistic Flavour.
£94.99
Taylor & Francis Ltd Fortran 2018 with Parallel Programming
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£133.00
Cambridge University Press Free Choice Petri Nets
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£37.04
Cambridge University Press Parallel Computing
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£39.89
Cambridge University Press Games Programming
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£48.44
Cambridge University Press Specification and Proof in Real Time CSP
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£94.00
Cambridge University Press Listen Here Intermediate Georgian Press
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£35.14
Cambridge University Press Protocols by Invariants
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£40.84
Cambridge University Press Handshake Circuits An Asynchronous Architecture for VLSI Programming 5 Cambridge International Series on Parallel Computation Series Number 5
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£56.74
MIT Press Ltd Multiagent Systems
Book Synopsis
£48.00
John Wiley and Sons Ltd Connectionism and the Mind
Book SynopsisConnectionism and the Mind provides a clear and balanced introduction to connectionist networks and explores theoretical and philosophical implications. Much of this discussion from the first edition has been updated, and three new chapters have been added on the relation of connectionism to recent work on dynamical systems theory, artificial life, and cognitive neuroscience. Read two of the sample chapters on line: Connectionism and the Dynamical Approach to Cognition: http://www.blackwellpublishing.com/pdf/bechtel.pdf Networks, Robots, and Artificial Life: http://www.blackwellpublishing.com/pdf/bechtel2.pdfTrade Review"Much more than just an update, this is a thorough and exciting re-build of the classic text. Excellent new treatments of modularity, dynamics, artificial life, and cognitive neuroscience locate connectionism at the very heart of contemporary debates. A superb combination of detail, clarity, scope, and enthusiasm." Andy Clark, University of Sussex "Connectionism and the Mind is an extraordinarily comprehensive and thoughtful review of connectionism, with particular emphasis on recent developments. This new edition will be a valuable primer to those new to the field. But there is more: Bechtel and Abrahamsen's trenchant and even-handed analysis of the conceptual issues that are addressed by connectionist models constitute an important original theoretical contribution to cognitive science." Jeff Elman, University of California at San DiegoTable of ContentsPreface. 1. Networks versus Symbol Systems: Two Approaches to Modeling Cognition:. A Revolution in the Making?. Forerunners of Connectionism: Pandemonium and Perceptrons. The Allure of Symbol Manipulation. The Disappearance and Re-emergence of Network Models. New Alliances and Unfinished Business. Notes. Sources and Suggested Readings. 2. Connectionist Architectures:. The Flavor of Connectionist Processing: A Simulation of Memory Retrieval. The Design Features of a Connectionist Architecture. The Allure of the Connectionist Approach. Challenges Facing Connectionist Networks. Summary. Notes. Sources and Suggested Readings. 3. Learning:. Traditional and Contemporary Approaches to Learning. Connectionist Models of Learning. Some Issues Regarding Learning. Notes. Sources and Suggested Readings. 4. Pattern Recognition and Cognition:. Networks as Pattern Recognition Devices. Extending Pattern Recognition to Higher Cognition. Logical Inference as Pattern Recognition. Beyond Pattern Recognition. Notes. Sources and Suggested Readings. 5. Are Rules Required to Process Representations?:. Is Language Use Governed by Rules?. Rumelhart and McClelland's Model of Past-Tense Acquisition. Pinker and Prince's Arguments for Rules. Accounting for the U-Shaped Learning Function. Conclusion. Notes. Sources and Suggested Readings. 6. Are Syntactically Structured Representations Needed?:. Fodor and Pylyshyn's Critique: The Need for Symbolic Representations with Constituent Structure. First Connectionist Response: Explicitly Implementing Rules and Representations. Second Connectionist Response: Implementing Functionally Compositional Representations. Third Connectionist Response: Employing Procedural Knowledge with External Symbols. Using External Symbols to Provide Exact Symbol Processing. Clarifying the Standard: Systematicity and Degree of Generalizability. Conclusion. Notes. Sources and Suggested Readings. 7. Simulating Higher Cognition: A Modular Architecture for Processing Scripts:. Overview of Scripts. Overview of Miikkulainen's DISCERN System. Modular Connectionist Architectures. FGREP: An Architecture that Allows the System to Devise Its Own Representations. A Self-organizing Lexicon using Kohonen Feature Maps. Encoding and Decoding Stories as Scripts. A Connectionist Episodic Memory. Performance: Paraphrasing Stories and Answering Questions. Evaluating DISCERN. Paths Beyond the First Decade of Connectionism. Notes. Sources and Suggested Readings. 8. Connectionism and the Dynamical Approach to Cognition:. Are We on the Road to a Dynamical Revolution?. Basic Concepts of DST: The Geometry of Change. Using Dynamical Systems Tools to Analyze Networks. Putting Chaos to Work in Networks. Is Dynamicism a Competitor to Connectionism?. Is Dynamicism Complementary to Connectionism?. Conclusion. Notes. Sources and Suggested Readings. 9. Networks, Robots, and Artificial Life:. Robots and the Genetic Algorithm. Cellular Automata and the Synthetic Strategy. Evolution and Learning in Food-seekers. Evolution and Development in Khepera. The Computational Neuroethology of Robots. When Philosophers Encounter Robots. Conclusion. Sources and Suggested Readings. 10. Connectionism and the Brain:. Connectionism Meets Cognitive Neuroscience. Four Connectionist Models of Brain Processes. The Neural Implausibility of Many Connectionist Models. Wither Connectionism?. Notes. Sources and Suggested Readings. Appendix A: Notation. Appendix B: Glossary. Bibliography. Name Index. Subject Index.
£117.85