{"product_id":"parallel-processing-and-applied-mathematics-9783031856990","title":"Parallel Processing and Applied Mathematics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- First PPAM Workshop on RISC-V (RISC-V PPAM 2024).\u003cbr\u003e.- RAVE: RISC-V Analyzer of Vector Executions, a QEMU tracing plugin.\u003cbr\u003e.- Batched DGEMMs for scientific codes running on long vector architectures.\u003cbr\u003e.- Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors.\u003cbr\u003e.- QR Factorization on a Long-Vector Processor.\u003cbr\u003e.- Special Session on Scheduling for Parallel Computing.\u003cbr\u003e.- HEAPS: a novel energy-based configurable HPC scheduler.\u003cbr\u003e.- Fair-Sharing Simulator for Batch Computing Systems.\u003cbr\u003e.- Scalability and Reliability of Port Simulation Workflow on Slurm.\u003cbr\u003e.- 10th Workshop on Language-Based Parallel Programming (WLPP 2024).\u003cbr\u003e.- On the Incorrect Use of Application Efficiency to Calculate Performance Portability.\u003cbr\u003e.- Assessing the Performance of Portable Programming Models Across GPU Vendors for the N-Body Problem.\u003cbr\u003e.- Performance Portability of SpMV for CSR and BSR Storage Formats Implemented Using OpenACC and SYCL.\u003cbr\u003e.- The Impact of SYCL Data Management on Performance Portability.\u003cbr\u003e.- LLM-driven Cross-Platform Code Generation for Polyhedral Optimized NPDP Codes.\u003cbr\u003e.- Juliana: Automated Julia CUDA.jl Code Translation Across Multiple GPU Platforms.\u003cbr\u003e.- 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024)\u003cbr\u003e.- Boosting GPGPU virtualization and multiplexing with RDMA communication.\u003cbr\u003e.- Efficient Load Scheduling of IMRT Planning in Heterogeneous multicore clusters.\u003cbr\u003e.- Deploying AI-Based Environmental Monitoring Applications at the Edge: Two Case Studies.\u003cbr\u003e.- Parallelism in GNN: possibilities and limits of current approaches.\u003cbr\u003e.- Solving Soil Microbiota Growth Problem by PINNs.\u003cbr\u003e.- Two-Phase Distributed Algorithm for Solving the Bi-Objective Minimum Spanning Tree Problem: A Preliminary Study.\u003cbr\u003e.- Second Workshop on Quantum Computing and Communication.\u003cbr\u003e.- Feedback-Based Quantum Algorithm for Constrained Optimization Problems.\u003cbr\u003e.- Halving the number of qubits of quantum comparators.\u003cbr\u003e.- Private Computation of Boolean Functions Using Single Qubits.\u003cbr\u003e.- The Fredholm determinants approach to the computations of quantum entanglement.\u003cbr\u003e.- Power Consumption and Energy Efficiency of Quantum Computing Platforms in High Performance Computing Integration.\u003cbr\u003e.- Feasibility Study of a Hybrid Quantum-Classical Setup for Multiple GPUs and Two Photonic Quantum Computers.\u003cbr\u003e.- QCG-QuantumLauncher: a modular tool for quantum scenarios.\u003cbr\u003e.- Semi-self-testing Quantum Random Number Generator with CMOS Sensors.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195454972247,"sku":"9783031856990","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/parallel-processing-and-applied-mathematics-9783031856990","provider":"Book Curl","version":"1.0","type":"link"}