Parallel Processing and Applied Mathematics, Kartoniert / Broschiert

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.- First PPAM Workshop on RISC-V (RISC-V PPAM 2024). .- RAVE: RISC-V Analyzer of Vector Executions, a QEMU tracing plugin. .- Batched DGEMMs for scientific codes running on long vector architectures. .- Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors. .- QR Factorization on a Long-Vector Processor. .- Special Session on Scheduling for Parallel Computing. .- HEAPS: a novel energy-based configurable HPC scheduler. .- Fair-Sharing Simulator for Batch Computing Systems. .- Scalability and Reliability of Port Simulation Workflow on Slurm. .- 10th Workshop on Language-Based Parallel Programming (WLPP 2024). .- On the Incorrect Use of Application Efficiency to Calculate Performance Portability. .- Assessing the Performance of Portable Programming Models Across GPU Vendors for the N-Body Problem. .- Performance Portability of SpMV for CSR and BSR Storage Formats Implemented Using OpenACC and SYCL. .- The Impact of SYCL Data Management on Performance Portability. .- LLM-driven Cross-Platform Code Generation for Polyhedral Optimized NPDP Codes. .- Juliana: Automated Julia CUDA. jl Code Translation Across Multiple GPU Platforms. .- 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024) .- Boosting GPGPU virtualization and multiplexing with RDMA communication. .- Efficient Load Scheduling of IMRT Planning in Heterogeneous multicore clusters. .- Deploying AI-Based Environmental Monitoring Applications at the Edge: Two Case Studies. .- Parallelism in GNN: possibilities and limits of current approaches. .- Solving Soil Microbiota Growth Problem by PINNs. .- Two-Phase Distributed Algorithm for Solving the Bi-Objective Minimum Spanning Tree Problem: A Preliminary Study. .- Second Workshop on Quantum Computing and Communication. .- Feedback-Based Quantum Algorithm for Constrained Optimization Problems. .- Halving the number of qubits of quantum comparators. .- Private Computation of Boolean Functions Using Single Qubits. .- The Fredholm determinants approach to the computations of quantum entanglement. .- Power Consumption and Energy Efficiency of Quantum Computing Platforms in High Performance Computing Integration. .- Feasibility Study of a Hybrid Quantum-Classical Setup for Multiple GPUs and Two Photonic Quantum Computers. .- QCG-QuantumLauncher: a modular tool for quantum scenarios. .- Semi-self-testing Quantum Random Number Generator with CMOS Sensors.