High Performance Computing

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.