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Expanding computational resources for gravitational wave detection pipelines in medium-latency and beyond

Project Information

ANALYSES and ALGORITHMS, astrophysics, benchmarking, data-transfer, gravitational-waves, parallelization, python, scheduling
Project Status: In Progress
Project Region: CAREERS
Submitted By: Gaurav Khanna
Project Email: robcoyne@uri.edu
Project Institution: University of Rhode Island
Anchor Institution: CR-University of Rhode Island

Mentors: Carrie Brown
Students: Aubrey Laity

Project Description

Brief Project Description (one paragraph): Gravitational wave follow-up analysis of electromagnetic transients has the potential for tremendous scientific reward, but due to constraints on computational resources available to organizations such as the LIGO-Virgo-KAGRA (LVK) collaboration these promising searches are not always able to obtain the CPU-hours required for in-depth analysis. Individual institutions (such as the University of Rhode Island) are uniquely suited to supplementing these computational restrictions through use of their own high performance computing clusters (whether it is locally, or through regional collaborations such as the MGHPCC). This project will explore the feasibility of adapting medium-latency and post-merger search pipelines from LVK-specific computing platforms to alternative HPC platforms. This will involve adapting existing codes to run on clusters available to URI (which will involve translating between job schedulers), negotiating certificates for secure data transfer, and optimizing certain codes for novel architectures (particularly on small-scale platforms outside of traditional HPC centers).

Project Information

ANALYSES and ALGORITHMS, astrophysics, benchmarking, data-transfer, gravitational-waves, parallelization, python, scheduling
Project Status: In Progress
Project Region: CAREERS
Submitted By: Gaurav Khanna
Project Email: robcoyne@uri.edu
Project Institution: University of Rhode Island
Anchor Institution: CR-University of Rhode Island

Mentors: Carrie Brown
Students: Aubrey Laity

Project Description

Brief Project Description (one paragraph): Gravitational wave follow-up analysis of electromagnetic transients has the potential for tremendous scientific reward, but due to constraints on computational resources available to organizations such as the LIGO-Virgo-KAGRA (LVK) collaboration these promising searches are not always able to obtain the CPU-hours required for in-depth analysis. Individual institutions (such as the University of Rhode Island) are uniquely suited to supplementing these computational restrictions through use of their own high performance computing clusters (whether it is locally, or through regional collaborations such as the MGHPCC). This project will explore the feasibility of adapting medium-latency and post-merger search pipelines from LVK-specific computing platforms to alternative HPC platforms. This will involve adapting existing codes to run on clusters available to URI (which will involve translating between job schedulers), negotiating certificates for secure data transfer, and optimizing certain codes for novel architectures (particularly on small-scale platforms outside of traditional HPC centers).