Aasish Kumar Sharma

aasish_kumar_sharma.jpg

Aasish is a scientific employee under Julian Kunkel and is interested in performance optimization, big data analysis, data science and computer vision using advanced technologies such as parallel and high-performance computing, as well as, quantum computing.
ResearchGate

  • Optimization
  • High-Performance Computing
  • Data Science

Constraint Programming for Workload Optimization in HPCApply

Constraint programming offers a robust approach to optimize workload scheduling in HPC systems. This project explores formulating resource allocation and task scheduling as constraint satisfaction problems to minimize makespan and maximize resource utilization.

Integration of Constraint Programming and Machine Learning for HPC SchedulingApply

Machine learning can enhance constraint programming by predicting constraints or guiding solution search. This project investigates hybrid approaches to improve scheduling performance in HPC systems.

Quantum Constraint Programming for Workload Optimization in HPCApply

Constraint programming offers a robust approach to optimize workload scheduling in HPC systems. This project explores formulating resource allocation and task scheduling as constraint satisfaction problems to minimize makespan and maximize resource utilization.

  • Performance Analysis of Convolutional Neural Network Applying Quantum Annealing, Aasish Kumar Sharma (Master's Thesis), Advisors: Sanjeeb Prasad Pandey, 2020-12-30, BibTeX URL

All publications as BibTex

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  • Last modified: 2023-08-28 10:40
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