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DDC 004.35
P 25
ParCo2019 ((2019 : ; Prague, Czech Republic),).
Parallel computing : : technology trends / / edited by Ian Foster (Argonne National Laboratory and University of Chicago, Chicago, USA), Gerhard R. Joubert (Technical University Clausthal, Clausthal-Zellerfeld, Germany), Luděk Kučera (Charles University, Prague, Czech Republic), Wolfgang E. Nagel (Technical University Dresden, Dresden, Germany) and Frans Peters (formerly Philips Research, Eindhoven, Netherlands). - Amsterdam ; ; Washington, DC : : IOS Press,, ©2020. - 1 online resource (xvii, 785 pages). - (Advances in parallel computing, ; v. 36). - Includes bibliographical references and indexes. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/F753D775-05A6-4F66-A235-3418FD86B7C2
. - ISBN 9781643680712 (electronic bk.). - ISBN 1643680714 (electronic bk.)
Conference: "ParCo2019, held in Prague, Czech Republic, from 10-13 September 2019, ..."--Back cover. Online resource; title from PDF title page (EBSCO, viewed July 6, 2020).
Параллельные издания: Print version: : Parallel computing. - Amsterdam : IOS Press, [2020]. - ISBN 9781643680705
Содержание:
Intro -- Title Page -- Preface -- Conference Organisation -- Contents -- Opening -- Four Decades of Cluster Computing -- Invited Talks -- Will We Ever Have a Quantum Computer? -- Empowering Parallel Computing with Field Programmable Gate Arrays -- Main Track -- Deep Learning Applications -- First Experiences on Applying Deep Learning Techniques to Prostate Cancer Detection -- Deep Generative Model Driven Protein Folding Simulations -- Economics -- A Scalable Approach to Econometric Inference -- Cloud vs On-Premise HPC: A Model for Comprehensive Cost Assessment -- GPU Computing Methods
GPU Architecture for Wavelet-Based Video Coding Acceleration -- GPGPU Computing for Microscopic Pedestrian Simulation -- High Performance Eigenvalue Solver for Hubbard Model: Tuning Strategies for LOBPCG Method on CUDA GPU -- Parallel Smoothers in Multigrid Method for Heterogeneous CPU-GPU Environment -- Load Balancing Methods -- Progressive Load Balancing in Distributed Memory. Mitigating Performance and Progress Variability in Iterative Asynchronous Algorithms -- Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas
Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations -- On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures -- Parallel Algorithms -- Batched 3D-Distributed FFT Kernels Towards Practical DNS Codes -- On Superlinear Speedups of a Parallel NFA Induction Algorithm -- A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA) -- Predicting Performance of Classical and Modified BiCGStab Iterative Methods -- Parallel Applications -- Gadget3 on GPUs with OpenACC -- Exploring High Bandwidth Memory for PET Image Reconstruction
Parallel Architecture -- The Architecture of Heterogeneous Petascale HPC RIVR -- Design of an FPGA-Based Matrix Multiplier with Task Parallelism -- Application Performance of Physical System Simulations -- Parallel Methods -- A Hybrid MPI+Threads Approach to Particle Group Finding Using Union-Find -- Parallel Performance -- Improving the Scalability of the ABCD Solver with a Combination of New Load Balancing and Communication Minimization Techniques -- Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI
Feedback-Driven Performance and Precision Tuning for Automatic Fixed Point Exploitation -- Parallel Programming -- A GPU-CUDA Framework for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem -- Parallelization Strategies for GPU-Based Ant Colony Optimization Applied to TSP -- DBCSR: A Blocked Sparse Tensor Algebra Library -- Acceleration of Hydro Poro-Elastic Damage Simulation in a Shared-Memory Environment -- BERTHA and PyBERTHA: State of the Art for Full Four-Component Dirac-Kohn-Sham Calculations -- Prediction-Based Partitions Evaluation Algorithm for Resource Allocation
Рубрики: Parallel processing (Electronic computers)
Parallel processing (Electronic computers)
Доп.точки доступа:
Foster, Ian, (1959-) \editor.\
Joubert, G. R., (Gerhard Robert), \editor.\
Kučera, Luděk, \editor.\
Nagel, Wolfgang E., \editor.\
Peters, F. J., \editor.\