Euro-Par 2024: Parallel Processing Workshops

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.