Euro-Par 2024 = parallel processing ...
International EURO-PAR Conference (2024 :)

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  • Euro-Par 2024 = parallel processing workshops : Euro-Par 2024 International Workshops, Madrid, Spain, August 26-30, 2024 : proceedings.. Part I /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Euro-Par 2024/ edited by Silvina Caino-Lores ... [et al.].
    Reminder of title: parallel processing workshops : Euro-Par 2024 International Workshops, Madrid, Spain, August 26-30, 2024 : proceedings.
    other author: Caino-Lores, Silvina.
    corporate name: International EURO-PAR Conference
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: xxii, 505 p. :ill., digital ;24 cm.
    [NT 15003449]: Preface of the European Workshop on Quantum Computing for High-Performance Computing -- Hybrid Quantum Computing: the Use Case of Shor's Algorithm -- A Quantum Emulation Workbench for Benchmark Construction and Application Development -- TNBS: A Kernel-Based Benchmarking for Digital Quantum Computers -- Variational Quantum Eigensolver for Classification in Distributed Data Sets -- LazyQML: A Python library to benchmark Quantum Machine Learning models -- Optimizing a quantum BCD Adder in terms of T-gates and CNOT gates -- Factoring integers via Schnorr's algorithm assisted with VQE -- Adiabatic training for Variational Quantum Algorithms -- Quantum Compilation Process: a Survey -- 19th International Workshop on Virtualization in High-Performance Cloud Computing (VHPC 2024) -- An Investigation of the Linux Virtual Networking Latencies -- Performance Implications of SEV Virtual Machine Live Migration -- Boosting Serverless Computing: A Survey on Architecture Designs and Accelerator Support for Serverless Platforms -- LLMs for Virtualized Networking Infrastructures: An Industrial Report -- Towards Using Partitioned GPU Virtual Functions for Mixture of Experts -- International Workshop in High-Performance Computing in Physics (PHYSHPC) -- Runtime Instantiation of Kernels for Fast Fourier Transforms Using SYCL Specialization Constants -- Towards Large-scale Top-Down Microarchitecture Analysis Using the Score-P Framework -- Coalescing MPI communication in 6D Vlasov simulations: solving ghost domains in Vlasiator -- Understanding the Impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo Code, through Instrumentation, Monitoring, and In-Situ Analysis -- Workshop proceedings -- Lessons Learned and Scalability Achieved When Porting Uintah to DOE Exascale Systems -- Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust -- Investigating the Performance Difference of Task Communication via Futures or Side Effects -- GVEL: Fast Graph Loading in Edgelist and Compressed Sparse Row (CSR) formats -- Workshop preface -- Dynamic Resource Manager for Automating Deployments in the Computing Continuum -- Parallel Efficiency-aware Standard MPI-based Malleability -- The Impact of Evolving APGAS Programs on HPC Clusters -- Malleability in the Expand Ad-Hoc parallel file system -- Evaluation of a Dynamic Resource Management Strategy for Elastic Scientific Workflows -- MaM: A User-Friendly Interface to Incorporate Malleability into MPI Applications -- Towards a Scale Invariant Syntax for Dynamic Job-Level Workflows -- 22nd International Workshop on Algorithms, Models, and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar 2024) -- StarONNX: a Scheduler for Efficient Inference on Heterogeneous Resources -- Strategies for memory management improvement in deep learning algorithms for contrast enhancement of high-resolution radiological images -- Computing DTWs on CPU, GPU and FPGA with SYCL -- Challenging Portability Paradigms: FPGA Acceleration Using SYCL and OpenCL -- A Practical Survey on Static Task Scheduling Optimization Approaches for Heterogeneous Architectures -- Element scheduling for GPU-accelerated finite-volumes computations -- Containerization for Heterogeneous and Hybrid Parallelism -- A Chapel-based Multi-GPU Branch-and-Bound Algorithm -- Accelerating Scientific Computing Kernels by Fusing the Polyhedral and Tensor Compilers -- Exploring the Limits of Cross-Platform Sparse Tensor Processing.
    Contained By: Springer Nature eBook
    Subject: Parallel processing (Electronic computers) - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-90200-0
    ISBN: 9783031902000
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