Title:
Parallel Processing and Applied Mathematics 14th International Conference, PPAM 2022, Gdansk, Poland, September 11-14, 2022, Revised Selected Papers, Part I
Author:
Wyrzykowski, Roman. editor.
ISBN:
9783031304422
Edition:
1st ed. 2023.
Physical Description:
XXIII, 480 p. 159 illus., 136 illus. in color. online resource.
Series:
Lecture Notes in Computer Science, 13826
Contents:
Numerical 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.
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Electronic Access:
https://doi.org/10.1007/978-3-031-30442-2Copies:
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