Euro-Par 2024: Parallel Processing Workshops: Euro-Par 2024 International Workshops, Madrid, Spain, August 2630, 2024, Proceedings, Part II [Pehme köide]

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.