The proceedings contain 65 papers. The topics discussed include: an energy efficient clustering protocol using minimum spanning tree for wireless sensor networks;DOA estimation for rectangular linear array antenna in ...
ISBN:
(纸本)9783642240362
The proceedings contain 65 papers. The topics discussed include: an energy efficient clustering protocol using minimum spanning tree for wireless sensor networks;DOA estimation for rectangular linear array antenna in frequency non selective slow fading MIMO channels;vector quantization based face recognition using integrated adaptive fuzzy clustering;transformation of active reference graph into passive reference graph for distributed garbage collection;face recognition using fuzzy neural network classifier;impulse noise removal from grayscale images using fuzzy genetic algorithm;reliability estimation of mobile agents for service discovery in MANET;a state-of-the-art survey on ids for mobile ad-hoc networks and wireless mesh networks;manipulating objects through hand gesture recognition in virtual environment;efficient ID-based signature scheme from bilinear map;and sleep scheduler protocol for network reliability in wireless sensor networks.
The proceedings contain 55 papers. The special focus in this conference is on parallel and distributedcomputing: Applications and Technologies. The topics include: A Meta-reinforcement Learning Framework for Ada...
ISBN:
(纸本)9789819642069
The proceedings contain 55 papers. The special focus in this conference is on parallel and distributedcomputing: Applications and Technologies. The topics include: A Meta-reinforcement Learning Framework for Adaptive Quadrotor UAV Attitude Control;Securing Energy Transactions for Electric Vehicles: The Blockchain Approach and Encrypted NFTs;optimizing Task Allocation in Heterogeneous Agent Manufacturing Systems;MPG: Multi-modal Personal Health Graph for Alzheimer’s Disease Diagnosis;SMAC: A Secure Multi-authority Access Control Scheme with Attribute Unification for Fog Enabled IoT in E-Health;Convolutional Neural Networks Parameter Training for SCM Algorithm Based on Hausdorff Difference;handling Non-stationarity with Distribution Shifts and Data Dependency in Time Series Forecasting;the Two-Stage Stochastic Facility Location Game;regularized Non-monotone γ-weakly Submodular Maximization;fed-MoE: Efficient Federated Learning for Mixture-of-Experts Models via Empirical Pruning;WaitIO-Hybrid: Communication for Coupling MPI Programs Among Heterogeneous Systems;the Material Delivery Route Prediction Method Based on Deep Reinforcement Learning;privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications;research on Task Migration Problem Based on Link Uncertainty in Adversarial Scenarios;optimizing Production Component Scheduling in Multivariate Industrial Networks with Dynamic Changes in Production Costs;multi-agent Collaboration for Time-Sensitive Tasks in Multiple Networked Adversarial Scenarios;containerized Data-Flow Processing for Scalable Real-Time Analytics on Edge Devices;fast Approximation for Scheduling Malleable Jobs on parallel Batch Machines with Rejection;real-Time and In-Situ Temperature Profiling for Determining Detonation of White Dwarf Mergers;accparser: A Standalone OpenACC Parser and Its Usage on Mapping OpenACC to OpenMP Directives;Out-of-Memory GPU Sorting Using Asynchronous CUDA Streams;long-Term and Periodicity-Aware Spatio
This special issue is dedicated to examining the rapidly evolving fields of artificial intelligence, mathematical modeling, and optimization, with particular emphasis on their growing importance in computational scien...
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This special issue is dedicated to examining the rapidly evolving fields of artificial intelligence, mathematical modeling, and optimization, with particular emphasis on their growing importance in computational science. It features the most notable papers from the "Mathematical Modeling and Problem Solving" workshop at PDPTA'24, the 30th internationalconference on parallel and distributed Processing Techniques and Applications. The issue showcases pioneering research in areas such as natural language processing, system optimization, and high-performance computing. The nine selected studies include novel AI-driven methods for chemical compound generation, historical text recognition, and music recommendation, along with advancements in hardware optimization through reconfigurable accelerators and vector register sharing. Additionally, evolutionary and hyper-heuristic algorithms are explored for sophisticated problem-solving in engineering design, and innovative techniques are introduced for high-speed numerical methods in large-scale systems. Collectively, these contributions demonstrate the significance of AI, supercomputing, and advanced algorithms in driving the next generation of scientific discovery.
HPC is a widely used term, often referred to the applications, architectures and programming models and tools targeting highly parallel machines such as those of the *** lists. Recent advances in computing hardware re...
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The proceedings contain 24 papers. The special focus in this conference is on parallel and distributed Processing Techniques. The topics include: parallel N-Body Performance Comparison: Julia, Rust, and More;REFT...
ISBN:
(纸本)9783031856372
The proceedings contain 24 papers. The special focus in this conference is on parallel and distributed Processing Techniques. The topics include: parallel N-Body Performance Comparison: Julia, Rust, and More;REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments;An Efficient Data Provenance Collection Framework for HPC I/O Workloads;using Minicasts for Efficient Asynchronous Causal Unicast and Byzantine Tolerance;a Comparative Study of Two Matrix Multiplication Algorithms Under Current Hardware Architectures;Is Manual Code Optimization Still Required to Mitigate GPU Thread Divergence? Applying a Flattening Technique to Observe Performance;towards Automatic, Predictable and High-Performance parallel Code Generation;Attack Graph Generation on HPC Clusters;analyzing the Influence of File Formats on I/O Patterns in Deep Learning;inference of Cell–Cell Interactions Through Spatial Transcriptomics Data Using Graph Convolutional Neural Networks;natural Product-Like Compound Generation with Chemical Language Models;improved Early–Modern Japanese Printed Character Recognition Rate with Generated Characters;Improved Method for Similar Music Recommendation Using Spotify API;Reconfigurable Virtual Accelerator (ReVA) for Large-Scale Acceleration Circuits;Building Simulation Environment of Reconfigurable Virtual Accelerator (ReVA);vector Register Sharing Mechanism for High Performance Hardware Acceleration;Efficient Compute Resource Sharing of RISC-V Packed-SIMD Using Simultaneous Multi-threading;introducing Competitive Mechanism to Differential Evolution for Numerical Optimization;hyper-heuristic Differential Evolution with Novel Boundary Repair for Numerical Optimization;jump Like a Frog: Optimization of Renewable Energy Prediction in Smart Gird Based on Ultra Long Term Network;vision Transformer-Based Meta Loss Landscape Exploration with Actor-Critic Method;Fast Computation Method for Stopping Condition of Range Restricted
The proceedings contain 83 papers. The topics discussed include: parallel execution strategies for cellular automata on shared memory architectures;parallel median filter with arbitrary window size and image depth;hig...
ISBN:
(纸本)9798331524937
The proceedings contain 83 papers. The topics discussed include: parallel execution strategies for cellular automata on shared memory architectures;parallel median filter with arbitrary window size and image depth;high performance stingray: fast spectral timing for all;optimizing transitive closure computation for high performance computing and security;a preliminary study on performance modeling at scale for geophysical applications;a multi-level parallel algorithm for detection of single scatterers in SAR tomography;order, unite, and conquer: a group formulation for multi-armed bandits in microservice provisioning;a performance analysis of VM-based trusted execution environments for confidential federated learning;improving cloud energy efficiency through machine learning models;and adaptive AI-based decentralized resource management in the cloud-edge continuum.
Synthetic Aperture Radar (SAR) tomography is an advanced technique for monitoring deformations of the Earth's surface. However, the computational complexity of SAR tomography algorithms often restricts their appli...
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Massive Open Online Courses (MOOCs) represent an accessible and user-friendly tool for disseminating innovative and cutting-edge topics to broad segments of civil society via online learning platforms, enabling users ...
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作者：
Marzolla, Moreno
Center for Inter-Department Industrial Research ICT Bologna Italy
Mini-applications are widely used in parallelcomputing for testing and benchmarking purposes. However, many existing mini-applications are not suitable for teaching, since they require advanced knowledge of algebra, ...
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Blockchain technology is characterized by its distributed, decentralized, and immutable ledger system which serves as a fundamental platform for managing smart contract transactions (SCTs). However, these SCTs undergo...
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ISBN:
(纸本)9783031814037;9783031814044
Blockchain technology is characterized by its distributed, decentralized, and immutable ledger system which serves as a fundamental platform for managing smart contract transactions (SCTs). However, these SCTs undergo sequential validation within a block which introduces performance bottlenecks in blockchain. In response, this paper introduces a framework called the Multi-Bin parallel Scheduler (MBPS) designed for parallelizing blockchain smart contract transactions to leverage the capabilities of multicore systems. Our proposed framework facilitates concurrent execution of SCTs, enhancing performance by allowing non-conflicting transactions to be processed simultaneously while preserving deterministic order. The framework comprises of three vital stages: conflict detection, bin creation, and execution. We conducted an evaluation of our MBPS framework in Hyperledger Sawtooth v1.2.6, revealing substantial performance enhancements compared to existing parallel SCT execution frameworks across various smart contract applications. This research contributes to the ongoing optimization efforts in blockchain technology demonstrating its potential for scalability and efficiency in real-world scenarios.
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