Parmanand Sinha
HPC Scientist at the University of Chicago's Research Computing Center. I focus on designing and optimizing high-performance computing workflows for data science and deep learning research.
I help researchers leverage advanced computational resources in fields like geospatial analysis, archaeological mapping, and cancer research.
Writings
- Navigating CPU Architecture Mismatches in HPC: Ice Lake vs. Cascade Lake
Understanding the challenges and solutions for HPC environments with heterogeneous CPU architectures between login and compute nodes.
- Automating Task Creation When the "Easy" Import is Broken
Automating Task Creation When the "Easy" Import is Broken
- Optimizing HPC Workflows for Geospatial Analysis
A comprehensive guide to optimizing high-performance computing workflows for large-scale geospatial data analysis.