The proceedings contain 27 papers. The special focus in this conference is on parallel and distributedcomputing. The topics include: parallelization of the k-means Algorithm in a Spectral Clustering Chain on CPU-GPU ...
ISBN:
(纸本)9783030715922
The proceedings contain 27 papers. The special focus in this conference is on parallel and distributedcomputing. The topics include: parallelization of the k-means Algorithm in a Spectral Clustering Chain on CPU-GPU Platforms;Management of Heterogeneous Cloud Resources with Use of the PPO;An Open-Source Virtualization Layer for CUDA Applications;high Performance Portable Solver for Tridiagonal Toeplitz Systems of Linear Equations;highPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids;Implementation and Evaluation of CUDA-Unified Memory in Numba;Performance Evaluation of Java/PCJ Implementation of parallel Algorithms on the Cloud;parallelizing Automatic Temporal Cognitive Tool for Large-Scale Online Learning Analytics;Experiments Using a Software-distributed Shared Memory, MPI and 0MQ over Heterogeneous computing Resources;ants-Review: A Privacy-Oriented Protocol for Incentivized Open Peer Reviews on Ethereum;on the Provenance Extraction Techniques from Large Scale Log Files: A Case study for the Numerical Weather Prediction Models;Improving Existing WMS for Reduced Makespan of Workflows with Lambda;predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks;On the Detection of Silent Data Corruptions in HPC Applications Using Redundant Multi-threading;analysis of Genome Architecture Mapping Data with a Machine Learning and Polymer-Physics-Based Tool;A New parallel Methodology for the Network Analysis of COVID-19 Data;next Generation Blockchain-Based Financial Services;a Digital Voting System for the 21st Century;trustless, Censorship-Resilient and Scalable Votings in the Permission-Based Blockchain Model;p2T: Pay to Transport;Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs.
The proceedings contain 107 papers. The topics discussed include: jamming with power boost: leaky waveguide vulnerability in train systems;low cost IoT software development - ingredient transformation and interconnect...
ISBN:
(纸本)9780769557854
The proceedings contain 107 papers. The topics discussed include: jamming with power boost: leaky waveguide vulnerability in train systems;low cost IoT software development - ingredient transformation and interconnection;relay and power splitting ratio selection for cooperative networks with energy harvesting;a memetic algorithm for dynamic shortest path routing on mobile ad-hoc networks;FlashLite: a high performance machine for data intensive science;big data analytics-enhanced cloud computing: challenges, architectural elements, and future directions;iCal: intervention-free calibration for measuring noise with smartphones;learning resource management specifications in smartphones;and unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength.
This short position paper discusses the fact that, from a teaching point of view, parallelism and distributedcomputing are often confused, while, when looking at their deep nature, they address distinct fundamental i...
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ISBN:
(纸本)9783319273082;9783319273075
This short position paper discusses the fact that, from a teaching point of view, parallelism and distributedcomputing are often confused, while, when looking at their deep nature, they address distinct fundamental issues. Hence, appropriate curricula should be separately designed for each of them. The "everything is in everything (and reciprocally)" attitude does not seem to be a relevant approach to teach students the important concepts which characterize parallelism on the one side, and distributedcomputing on the other side.
The interest for Multi-Agents Systems (MAS) grows rapidly and especially in order to simulate and observe large and complex systems. Centralized machines do not however offer enough capacity to simulate the large mode...
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ISBN:
(纸本)9783319273082;9783319273075
The interest for Multi-Agents Systems (MAS) grows rapidly and especially in order to simulate and observe large and complex systems. Centralized machines do not however offer enough capacity to simulate the large models and parallel clusters can overcome these limits. Nevertheless, the use of parallel clusters implies constraints such as mono-threaded process of execution, reproducibility or coherency. In this paper, our contribution is a MPI based communication schema for parallel and distributed MAS (PDMAS) that fits High Performance computing (HPC) on cluster requirements. Our communication schema thus integrates agent migration between processes and it guarantees message delivery in case of agent migration.
The scale of changes in the computing world dictates the need to introduce comparably major changes in the education system. Knowledge and skills with a strong foundation in parallelism concepts are becoming key quali...
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ISBN:
(纸本)9783319273082;9783319273075
The scale of changes in the computing world dictates the need to introduce comparably major changes in the education system. Knowledge and skills with a strong foundation in parallelism concepts are becoming key qualities for any modern specialist. The situation cannot be changed by introducing just one training course;progress needs to be achieved in many direction at once, by developing supercomputing education infrastructure. This article is dedicated to presenting work performed in Russia to develop parallelcomputing, high-performance computing and distributedcomputing education as well as results which were obtained and lessons we have learnt from the national "Supercomputing Education" project.
Due to the ever increasing complexity of the modern supercomputers, performance analysis of irregular applications became an experimental endeavor. We show that runtime considerations are inseparable from algorithmic ...
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ISBN:
(纸本)9783319273082;9783319273075
Due to the ever increasing complexity of the modern supercomputers, performance analysis of irregular applications became an experimental endeavor. We show that runtime considerations are inseparable from algorithmic concerns in performance engineering of large-scale distributed graph algorithms, and we argue that the whole system stack, starting with the algorithm at the top down to low-level communication libraries must be considered.
Learning and teaching parallel programming in Java can sometimes be tedious, because the correct behavior of a parallel program can hardly be debugged. A runtime monitoring can help to gather information on the behavi...
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ISBN:
(纸本)9783319273082;9783319273075
Learning and teaching parallel programming in Java can sometimes be tedious, because the correct behavior of a parallel program can hardly be debugged. A runtime monitoring can help to gather information on the behavior of a parallel program. As Java Bytecode is executed inside a JVM, a runtime monitoring can be applied with almost no changes to the source code. In this paper, FerbJmon tools for monitoring Java objects at runtime are proposed. FerbJmon tools also include a tool for call graph creation and a tool for visualizing chronological accesses of threads on Java objects in a timeline diagram. A lightweight monitoring is necessary to minimize the influence of the monitoring on the program behavior itself. FerbJmon tools address this issue by selecting only one class for the monitoring at the same time and by a fast logging implementation. A producer/consumer program and a program for cooperative task execution are used to demonstrate the applicability and the performance of the logging. FerbJmon tools can be used to understand and optimize thread synchronization in Java programs.
High Performance computing (HPC) is an interdisciplinary field of study, which requires learning a number of topics, including not only parallel programming, but also numerical methods and domain science. stand-alone ...
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ISBN:
(纸本)9783319273082;9783319273075
High Performance computing (HPC) is an interdisciplinary field of study, which requires learning a number of topics, including not only parallel programming, but also numerical methods and domain science. stand-alone parallelcomputing courses are insufficient for thorough HPC education. We present an interdisciplinary track of coherent courses devoted to modeling and simulation of the heart on parallelcomputing systems for master students at the Ural Federal University. The track consists of three modules: parallel and distributedcomputing, heart modeling, and numerical methods. Knowledge of numerical methods and heart modeling provides the students with the ability to acquire profound parallel programming skills by working out on the comprehensive programming assignment and complex heart modeling projects. Interdisciplinary approach also increases students' motivation and involvement.
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