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Bayesian nonparametric ensemble air quality model predictions at high spatio-temporal daily nationwide  1 km grid cell
Columbia University

I aim to run a Bayesian Nonparametric Ensemble (BNE) machine learning model implemented in MATLAB. Previously, I successfully tested the model on Columbia's HPC GPU cluster using SLURM. I have since enabled MATLAB parallel computing and enhanced my script with additional lines of code for optimized execution. 

I want to leverage ACCESS Accelerate allocations to run this model at scale.

The BNE framework is an innovative ensemble modeling approach designed for high-resolution air pollution exposure prediction and spatiotemporal uncertainty characterization. This work requires significant computational resources due to the complexity and scale of the task. Specifically, the model predicts daily air pollutant concentrations (PM2.5​ and NO2 at a 1 km grid resolution across the United States, spanning the years 2010–2018. Each daily prediction dataset is approximately 6 GB in size, resulting in substantial storage and processing demands.

To ensure efficient training, validation, and execution of the ensemble models at a national scale, I need access to GPU clusters with the following resources:

  • Permanent storage: ≥100 TB
  • Temporary storage: ≥50 TB
  • RAM: ≥725 GB

In addition to MATLAB, I also require Python and R installed on the system. I use Python notebooks to analyze output data and run R packages through a conda environment in Jupyter Notebook. These tools are essential for post-processing and visualization of model predictions, as well as for running complementary statistical analyses.

To finalize the GPU system configuration based on my requirements and initial runs, I would appreciate guidance from an expert. Since I already have approval for the ACCESS Accelerate allocation, this support will help ensure a smooth setup and efficient utilization of the allocated resources.

Status: Complete

People with Expertise

alex Gutierrez

California State University-Los Angeles

Programs

ACCESS CSSN

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student-facilitator

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Expertise

Chris Hemme

University of Rhode Island

Programs

CAREERS

Roles

researcher/educator

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Expertise

Rui Feng Ye

New york city college of technology

Programs

CAREERS

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student-facilitator

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Expertise

People with Interest

Gil Speyer

Arizona State University

Programs

ACCESS CSSN, RMACC, Campus Champions

Roles

mentor, researcher/educator, research computing facilitator, Affinity Group Leader, CIP

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Alison McClellan

Programs

ACCESS CSSN

Roles

student-facilitator

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Abigail Waters

Massachusetts Green High Performance Computing Center

Programs

Campus Champions, Northeast

Roles

student-facilitator, student champion

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