The proceedings contain 3 papers. The topics discussed include: SABO: dynamic MPI+OpenMP resource balancer;LEC-PR: proactive recovery method in erasure-coded storage;and Petri nets for concurrent programming.
ISBN:
(纸本)9781665475082
The proceedings contain 3 papers. The topics discussed include: SABO: dynamic MPI+OpenMP resource balancer;LEC-PR: proactive recovery method in erasure-coded storage;and Petri nets for concurrent programming.
The proceedings contain 42 papers. The topics discussed include: deep learning used to detect gear inspection;a non-normal warning system for dam operation using machine learning;small probability of fatality from the...
ISBN:
(纸本)9798350310412
The proceedings contain 42 papers. The topics discussed include: deep learning used to detect gear inspection;a non-normal warning system for dam operation using machine learning;small probability of fatality from theorem of bayes at the monkeypox pandemic;multi-agent reinforcement learning reward engineering via stochastic game evaluation;artificial intelligence of things enabled fungiculture in shipping container;instructions with complex control-flow entailing machine learning;development and validation of an explainable deep learning model to predict adverse event during hospital admission in patients with sepsis;graph database-modelled public transportation data for geographic insight web application;the study on security online judge system applied sandbox technology;and cause-effect graphing technique: a survey of available approaches and algorithms.
An innovative approach to password cracking by leveraging a distributedcomputing model is developed. The sys- tem comprises a client-server architecture where clients receive segmented password ranges for parallelize...
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An innovative approach to password cracking by leveraging a distributedcomputing model is developed. The sys- tem comprises a client-server architecture where clients receive segmented password ranges for parallelized hashing attempts. The Java-based implementation employs MD5 hashing and divides the password into smaller units for distribution among multiple clients. Each client independently processes its assigned password range, attempting to match the hash against a pre- determined target. The server orchestrates the distribution of password segments and collects results from clients, facilitating the cracking process. Security measures include secure communication protocols, and ethical considerations center around legality, user consent, and emphasizing the educational value of responsible hacking practices. The work explores the tech- nical challenges of distributed password cracking, addressing efficiency, scalability, and security implications, while fostering a deeper understanding of cybersecurity and distributed systems.
The proceedings contain 25 papers. The special focus in this conference is on parallel and distributedcomputing. The topics include: Analysing Supercomputer Nodes Behaviour with the Latent Representation of...
ISBN:
(纸本)9783031125966
The proceedings contain 25 papers. The special focus in this conference is on parallel and distributedcomputing. The topics include: Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models;Accelerating parallel Operation for Compacting Selected Elements on GPUs;A Methodology to Scale Containerized HPC Infrastructures in the Cloud;cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads;multi-objective Hybrid Autoscaling of Microservices in Kubernetes Clusters;two-Agent Scheduling with Resource Augmentation on Multiple Machines;IP. LSH. DBSCAN : Integrated parallel Density-Based Clustering Through Locality-Sensitive Hashing;graphGuess: Approximate Graph Processing System with Adaptive Correction;deterministic parallel Hypergraph Partitioning;MARTINI: The Little Match and Replace Tool for Automatic Application Rewriting with Code Examples;OmpSs-2@Cluster: distributed Memory Execution of Nested OpenMP-style Tasks;Generating Work Efficient Scan Implementations for GPUs the Functional Way;automatic parallelization of Python Programs for distributed Heterogeneous computing;A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU;accelerating Brain Simulations with the Fast Multipole Method;high-Performance Spatial Data Compression for Scientific Applications;accurate Fork-Join Profiling on the Java Virtual Machine;characterization of Different User Behaviors for Demand Response in Data Centers;on-the-Fly Calculation of Model Factors for Multi-paradigm Applications;relative Performance Projection on Arm Architectures;exploring Scheduling Algorithms for parallel Task Graphs: A Modern Game Engine Case Study;Decentralized Online Scheduling of Malleable NP-hard Jobs;A Bi-Criteria FPTAS for Scheduling with Memory Constraints on Graphs with Bounded Tree-Width.
distributed large memory offers the use of large virtual memory by using remote memory distributed over nodes in a cluster. The message passing interface (MPI) plays important role in DLM. MPI-based DLM manages the la...
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The proceedings contain 49 papers presendted at a virtual meeting. The special focus in this conference is on parallel and distributedcomputing. The topics include: Data Management Model to Program Irregular Compute ...
ISBN:
(纸本)9783031061554
The proceedings contain 49 papers presendted at a virtual meeting. The special focus in this conference is on parallel and distributedcomputing. The topics include: Data Management Model to Program Irregular Compute Kernels on FPGA: Application to Heterogeneous distributed System;a distributed Game-Theoretic Approach to IaaS Cloud Brokering;continuous Self-adaptation of Control Policies in Automatic Cloud Management;Porting Sparse Linear Algebra to Intel GPUs;low-Overhead Reuse Distance Profiling Tool for Multicore;model-Based Loop Perforation;collaborative, distributed, Scalable and Low-Cost Platform Based on Microservices, Containers, Mobile Devices and Cloud Services to Solve Compute-Intensive Tasks;Scalable Hybrid parallel ILU Preconditioner to Solve Sparse Linear Systems;communication Overlapping Pipelined Conjugate Gradients for distributed Memory Systems and Heterogeneous Architectures;application-Based Fault Tolerance for Numerical Linear Algebra at Large Scale;parallelization and Auto-scheduling of Data Access Queries in ML Workloads;A Low Overhead Tasking Model for OpenMP;memory Efficient Deep Neural Network Training;Interferences Between Communications and Computations in distributed HPC Systems;enabling Support for Zero Copy Semantics in an Asynchronous Task-Based Programming Model;FleCSI 2.0: The Flexible Computational Science Infrastructure Project;An Experimental Study of SYCL Task Graph parallelism for Large-Scale Machine Learning Workloads;understanding the Effect of Task Granularity on Execution Time in Asynchronous Many-Task Runtime Systems;OpenMP Target Task: Tasking and Target Offloading on Heterogeneous Systems;towards Generating Realistic Trace for Simulating Functions-as-a-Service;SMART: A Tool for Trust and Reputation Management in Social Media;SPIRIT: A Microservice-Based Framework for Interactive Cloud Infrastructure Planning;consistency Analysis of distributed Ledgers in Fog-Enhanced Blockchains;parallelizing Automatic Model Management S
Generally, the single GPU computing method is utilized for the conventional radix sort algorithm based on GPU parallelcomputing. Nevertheless, as the data scale grows, the single GPU sorting algorithm is gradually de...
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ISBN:
(数字)9798350391954
ISBN:
(纸本)9798350391961;9798350391954
Generally, the single GPU computing method is utilized for the conventional radix sort algorithm based on GPU parallelcomputing. Nevertheless, as the data scale grows, the single GPU sorting algorithm is gradually demonstrating its performance bottlenecks. In the paper, an efficient radix sort algorithm based on multi-GPU parallelcomputing is proposed, which implements a strategy of using different bucket classifications on multiple GPUs to improve the sorting performance and efficiency of large-scale datasets. With the multi-GPU parallelcomputing, more buckets may be used for data classification in one traversal, effectively reducing data sorting times, lowering time complexity, and improving sorting speed and throughput. The experiment shows that the algorithm has significantly improved the operational efficiency, demonstrating good application prospects. Meanwhile, the algorithm herein also presents good scalability, which can adapt to the constantly growing data scale in the future.
The proceedings contain 58 papers. The special focus in this conference is on parallel and distributedcomputing, Applications and Technologies. The topics include: Traffic Matrix Prediction Based on Differential...
ISBN:
(纸本)9783030967710
The proceedings contain 58 papers. The special focus in this conference is on parallel and distributedcomputing, Applications and Technologies. The topics include: Traffic Matrix Prediction Based on Differential Privacy and LSTM;patient-Chain: Patient-centered Healthcare System a Blockchain-based Technology in Dealing with Emergencies;federated Data Integration for Heterogeneous Partitions Based on Differential Privacy;multimodal Fusion Representation Learning Based on Differential Privacy;bayesian Optimization-Based Task Scheduling Algorithm on Heterogeneous System;MOFIT: An Efficient Access Control Scheme with Attribute Merging and Outsourcing Capability for Fog-Enhanced IoT;enhanced Discriminant Local Direction Pattern Learning for Robust Palmprint Identification;jointly Super Resolution and Degradation Learning on Unpaired Real-World Images;roman Amphitheater Classification Using Convolutional Neural Network and Data Augmentation;Multi-zone Residential HVAC Control with Satisfying Occupants’ Thermal Comfort Requirements and Saving Energy via Reinforcement Learning;Evaluating the Performance and Conformance of a SYCL Implementation for SX-Aurora TSUBASA;distributed Fair k-Center Clustering Problems with Outliers;MACSQ: Massively Accelerated DeepQ Learning on GPUs Using On-the-fly State Construction;optimizing Data Locality by Executor Allocation in Reduce Stage for Spark Framework;low Latency Execution Guarantee Under Uncertainty in Serverless Platforms;an Effective and Reliable Cross-Blockchain Data Migration Approach;A MVCC Approach to parallelizing Interoperability of Consortium Blockchain;realtime Physics Simulation of Large Virtual Space with Docker Containers;temperature Matrix-Based Data Placement Using Improved Hungarian Algorithm in Edge computing Environments;FastDCF: A Partial Index Based distributed and Scalable Near-Miss Code Clone Detection Approach for Very Large Code Repositories;matching Program Implementations and Heterogeneous computing System
With the rapid development of information technology, people have put forward higher requirements for the audio-visual experience and usage functions of conference spaces. The traditional, single-function conference r...
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ISBN:
(纸本)9798350391961;9798350391954
With the rapid development of information technology, people have put forward higher requirements for the audio-visual experience and usage functions of conference spaces. The traditional, single-function conference room configuration can no longer adapt to the diverse needs of modern work and interactive activities. How to achieve efficient management and control, seamless interconnection, and resource sharing of audio systems across spaces, while ensuring the acoustic characteristics and flexibility of each independent space, has become a core issue that needs to be urgently resolved in building a multi-hall, multi-functional conference room cluster. Based on the audio system project of the Academic Center of the Communication University of China, this paper proposes a solution for a conference room cluster audio system based on a distributed architecture. This solution not only overcomes the limitations of traditional systems in terms of scalability, collaborative work, and resource scheduling but also promotes lossless transmission, real-time processing, and adaptive configuration of audio signals. Thus, it ensures the consistency and high quality of the audio experience within the entire cluster, providing practical guidance for the design and optimization of future conference room audio systems.
Volunteer computing (VC) is a type of network computing which exploits idle computing resources provided by vast amount of users on the Internet. In our previous work, we have implemented a prototype system of paralle...
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ISBN:
(纸本)9798350386851;9798350386844
Volunteer computing (VC) is a type of network computing which exploits idle computing resources provided by vast amount of users on the Internet. In our previous work, we have implemented a prototype system of parallel VC with the approach of server assisted communication and demonstrated the feasibility of parallelcomputing on a VC environment, not distributedcomputing as in the current VC. In this paper, we evaluate the effectiveness of parallel VC. The nature of nodes' volatility and unreliability in VC makes parallelcomputing not always effective. Through the simulations using open trace data of nodes' behavior, we reveal parallelism and redundancy of job execution which minimize execution time while maintaining high degree of reliability.
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