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Buch, Englisch, 250 Seiten, Format (B × H): 155 mm x 235 mm
12th Latin American High Performance Computing Conference, CARLA 2025, Kingston, Jamaica, September 22–26, 2025, Proceedings
Buch, Englisch, 250 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-24922-7
Verlag: Springer
This book constitutes the proceedings of the 12th Latin American Conference on High Performance Computing, CARLA 2025, held in Kingston, Jamaica, during September 22–26, 2025.
The 16 full papers included in this book were carefully reviewed and selected from 28 submissions. They were organized in topical sections as follows: High-Performance Computing (HPC); Artificial Intelligence at HPC Scale; and High-Performance Computing Applications.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
High-Performance Computing (HPC).- Evaluating Malleable Job Scheduling in HPC Clusters using Real-World Workloads.- NUMA-Aware FIFO Scheduling: Optimizing Data Movement for the Montage Workflow.- ACCLAIM: Accelerating Long Context LLM Inference on Heterogeneous Edge Platforms.- Parallel/distributed Computing for Optimizing Investment Planning in Electricity Markets.- Fast Sorting for the RISC-V 'V' Vector Extension.- Good Sustainability Practices for Data Center: A Systematic Literature Review.- Subgroup and SIMD Optimization of RTM Kernels in Intel SYCL for Portable Performance.- Machine Learning for Predicting Job States and CPU Power on a Supercomputer.- Leveraging Local Data Share for Efficient Stencil Computation in the Fletcher Model on AMD MI250X.- Profiling a Task-based Molecular Dynamics Application with a Data Science Approach.- Artificial Intelligence at HPC Scale.- Investigating the Impact of DVFS on the Energy Efficiency of AI Workloads on GPUs.- High-Performance Computing Applications.- A Scientific Data Integrity system based on Blockchain.- A Scalable and Reproducible Parsl Framework for Molecular evolutionary Analyses on HPC Systems.- Performance and Energy Consumption Prediction of Scientific Workflows using Machine Learning.- Optimizing the Energy-Efficiency of QMCPACK on Aurora Supercomputer via GPU Sharing.- Driving Computational Efficiency in Large-Scale Platforms using HPC Technologies.
