Euro-Par 2024: Parallel Processing Workshops

Euro-Par 2024 International Workshops, Madrid, Spain, August 26–30, 2024, Proceedings, Part II

AvSilvina Caino-Lores,Demetris Zeinalipour

Häftad, Engelska, 2025

Del 15386 i serien Lecture Notes in Computer Science

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Beskrivning

The two-volume set LNCS 15385 + 15386 constitutes the proceedings of the workshops and associated events that were held in conjunction with the 30th European Conference on Parallel and Distributed Processing, Euro-Par 2024, which took place in Madrid, Spain, during August 26–30, 2024.Overall, the Euro-Par Workshops received a total of 84 submissions of which 60 were accepted for presentation. They stem from the following workshops: – The 1st European Workshop on Quantum Computing for High-Performance Computing (EUROQHPC 2024)– The 19th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 2024)– The 1st Workshop in High-Performance Computing in Physics (PHYSHPC 2024)– The 4th Workshop on Asynchronous Many-Task Systems for Exascale (AMTE 2024)– The 3rd EuroHPC Workshop on Dynamic Resources in HPC (DYNRESHPC 2024)– The 22nd International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HETEROPAR 2024)– The 1st Workshop on Next Steps in IoT-Edge-Cloud Continuum Evolution: Research and Practice (IECCONT 2024)– The 1st Workshop about High-Performance e-Science (HIPES 2024)– The 2nd International Workshop on Scalable Compute Continuum (WSCC 2024)In addition, the proceedings contain 14 poster and demo papers that have been accepted from 30 submissions, and 18 contributions in the PhD Symposium track that were accepted from 22 submissions.

Produktinformation

Utgivningsdatum:2025-06-10
Mått:155 x 235 x 27 mm
Vikt:727 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:459
Förlag:Springer International Publishing AG
ISBN:9783031902024
Originaltitel:Euro-Par 2024: Parallel Processing Workshops

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Innehållsförteckning

Workshop preface.- LOMOS: an AI-based runtime security monitoring system fit for the cloud continuum.- Taming the Swarm: a role-based approach for autonomous agents.- Offloading PyTorch Collective Operations to Independent Programmable Logic at the Edge.- Placing Computational Tasks within Edge-Cloud Continuum: a DRL Delay Minimization Scheme.- Evaluation of Multi-Armed Bandit algorithms for efficient resource allocation in Edge platforms.- Navigating the Dynamic Heterogeneous Computing Sphere: The Role of EdgeHarbor as a Multi-Edge Orchestrator.- An experimental study of the response time in an edge-cloud continuum with ClusterLink.- Multi-component Application Mapping across the Continuum.- International Workshop on High-Performance e-Science (HiPES).- GVE-LPA: Fast Label Propagation Algorithm (LPA) for Community Detection in the Shared Memory Setting.- A Distributed Workflow for Long Reads Self-Correction.- Exploiting Multicore Servers to Optimize IMRT Radiotherapy Planning.- Extending a scientific workflow engine with streaming I/O capabilities: DAGonStar and CAPIO.- A Fault Tolerance Mechanism for Hybrid Scientific Workflows.- Accelerating GCN Inference on Small Graphs.- GeoNimbus: A serverless framework to build earth observation and environmental services.- Towards the implementation of ONCA: A Generic, Scalable, and Massive Data Processing Platform for Information Discovery and Analytics.- Second International Workshop on Scalable Compute Continuum (WSCC 2024).- Hardware/Software Co-design for FPGA-based Scalable Secure Edge Computing Platforms.- Scheduling Microservices Applications in the Cloud-to-Edge Continuum.- Seamless FPGA Integration with Stream Processing Engines.- Towards declarative traffic engineering for guaranteed latency-based forwarding.- Efficient Deployment and Fine-Tuning of Transformer-Based Models on the Device-Edge.- Heterogeneous thread-based parallel software for scalable industrial machinery.- A Disk Failure Prediction Method Based on Improved Loss Function.- ShapeShifter: an Adaptive Concurrent Map Data Structure for Alternating Workloads.- A HPX Communication Benchmark: Distributed FFT using Collectives.- GPU-Accelerated PSO for Neural Network-Based Energy Consumption Prediction.- An Asynchronous Matrix Multiplication Accelerator.- DP_Kruskal: a concurrent algorithm to maintain dynamically minimum spanning trees.- One-to-Many Communication Primitives in Dragonfly Networks.- Byzantine-Tolerant Privacy-Preserving Atomic Register.- Exploring Performance in RISC-V Vector Architecture: A Preliminary Study Integrating RISC-V and SYCL.- On Exploring Safe Memory Reclamation Methods with a Simplified Lock-Free Hash Map Design.- Database Performance on Small Devices.- A Layered Approach for Dynamic Resource Management in HPC.- A Novel Efficient Maximum Searching Algorithm in ReRAM Array.- Extending Polygeist to Generate OpenMP SIMD and GPU MLIR Code.- Evolving Deep Learning Techniques for Disease Diagnosis Support Using Medical Imaging..- Augmenting Cloud Resource Management with the Necessary Amount of Machine Intelligence.- Improving the Efficiency of LLM Inference Serving Systems.- Mapping code on Coarse Grained Reconfigurable Arrays using a SAT solver.- Applying Machine Learning for characterizing Social Networks Agent-Based Models.- High-Speed Neighborhood-based Link Prediction by Disregarding Large Hubs.- Efficient quantum computing to solve case studies in science and engineering.- Predicting suicide attempts with a long-short term memory using environmental data.- Dynamic Load Balancing for Non-Spatial Agent-Based Models.- On the Building of Computing Continuum Systems Using Serverless Abstractions.- Towards Real Time Compton Imaging in Demanding Conditions.- Space Edge Computing for Satellite Systems: Definition and Key Enabling Technologies.- Towards the quantification of performance isolation in HPC.- On Selection Functions in Adaptive Routing.- Topology-aware Aggregation for Federated Graph Learning.- Training a Transformer Model for OpenMP Pragma Generation.- Pre-Scheduling of Affine Loops for HLS Pipelining.- Evaluation of CPU constraining mechanisms in the LHC ALICE experiment Grid.

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