High-Performance Computing

C+MPI and Spark parallel efficiency comparison

Matrix Factorizations at Scale: A Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies

This work compares Apache Spark with traditional C and MPI implementations for NMF, PCA, and CX matrix factorizations on particle physics, climate modeling, and bioimaging data. The experiments scale to 1600 Cray XC40 nodes and provide tuning guidance for high-performance scientific data analytics.

Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering

This article studies three hybrid HPC, grid, and cloud cyberinfrastructure usage modes: HPC in the Cloud, HPC plus Cloud, and HPC as a Service. It presents illustrative scenarios and outlines benefits, limitations, and research challenges for each mode.