SUPR
Capacity Estimation using Information Theoretic Tools
Dnr:

NAISS 2023/22-948

Type:

NAISS Small Compute

Principal Investigator:

Mohammad Farsi

Affiliation:

Chalmers tekniska högskola

Start Date:

2023-09-21

End Date:

2024-08-01

Primary Classification:

10106: Probability Theory and Statistics

Webpage:

Allocation

Abstract

Title: Capacity Estimation using Information Theoretic Tools This project seeks computing resources to estimate capacity bounds in [Your Field/Area of Research]. We aim to leverage information theoretic tools to make impactful contributions. Capacity estimation is computationally demanding, involving large datasets and simulations. Access to high-performance computing is crucial for efficient progress. We commit to responsible resource usage and welcome discussions on terms. By supporting this project, you contribute to advancing knowledge in [Your Field/Area of Research] and enhance our institution's research standing. Your assistance empowers us to excel in this innovative endeavor.