HPC Forge

HPC Forge is a scalable scientific machine learning research lab at the University of California, Irvine. Check out our recent Publications to see what we do.

We are always looking for interested and motivated students/postdocs to join our team. If you are interested in joining our research lab, please email your CV and one representative publication (if any) to amowli@uci.edu.

Hi there!

I’m an associate professor in the Department of Electrical Engineering and Computer Science at UC Irvine. My research is at the intersection of scientific machine learning and high-performance computing. I lead the HPC Forge research lab. I received my Ph.D in Computational Science and Engineering from Georgia Tech in 2013 in the HPC Garage. Prior to joining UCI, I was a research scientist at MIT CSAIL, where I worked on the X-Stack (exascale software stack) project.

Interests

  • Scientific machine learning
  • Neural solvers
  • Foundational models for science
  • High-performance computing
  • Performance analysis and modeling

Education

  • PhD in Computational Science and Engineering, 2013

    Georgia Institute of Technology

  • BE in Computer Science and Engineering, 2007

    Anna University

The Lab

PhD Students

Avatar

Arthur Feeney

PhD student, EECS, 2022-present

  • MS in Computer Science, University of Massachusetts Amherst, 2021

  • BS in Computer Science, Trinity University, 2019

Current research: Scalable Neural Operators for Continuum Mechanics to Dynamics

Avatar

Zitong Li

PhD student, EECS, 2022-present

  • MS in Computer Science, Wake Forest University, 2022

  • BS in Computer Science, University of Nebraska-Lincoln, 2018

Current research: Sparse Kernels for Tensor Cores

Avatar

Shakeel Hassan

MS/PhD student, EECS, 2022-present

  • BTech in Electronics and Communication Engineering, National Institute of Technology Trichy, 2020

Current research: Autoregressive Neural Operators for Long-range Dynamics

Avatar

Xianwei Zou

PhD student, EECS, 2024-present

  • MS in Electrical and Computer Engineering, Carnegie Mellon University, 2024

  • BE in Telecommunication Engineering, Xidian University, 2021

Current research: Foundational Models for Multiphysics

Avatar

Kuei-Hsiang Huang

MS/PhD student, EECS, 2024-present

  • BS in Mathematics, National Tsing Hua University, 2024

Current research: Transformers and Scalable Attention for PDEs

Alumni

Avatar

Srikar Arani

EECS MS (2024)

  • BS in Computer Engineering, University of California Santa Barbara, 2022

Avatar

Sebastian Barschkis

EECS MS (2023)

  • BS in Computer Science, Ludwig Maximilian University of Munich, 2018

Avatar

Octavi Obiols Sales

MAE PhD (2022)

Avatar

Behnam Pourghassemi

EECS PhD (2021)

Avatar

Hengjie Wang

MAE PhD (2021)

Avatar

Shu-Mei Tseng

EECS MS (2021)

Avatar

Rohit Zambre

EECS PhD (2020)

Avatar

Laleh Beni

CS PhD (2019)

Avatar

Ferran Marti

Postdoctoral Scholar (2017 - 2018)

Avatar

Bahareh Davani

EECS MS (2016)

Recent Publications

BERN-NN-IBF: Enhancing Neural Network Bound Propagation Through Implicit Bernstein Form and Optimized Tensor Operations

Recent progress of artificial intelligence for liquid-vapor phase change heat transfer

BubbleML: A Multiphysics Dataset and Benchmarks for Machine Learning

Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers

ADARNet: Deep Learning Predicts Adaptive Mesh Refinement

Projects

HiPer

A CFD solver for high-performance turbulent flow simulations

Machine & Deep Learning

HPC for accelerating ML/DL and DL for science

Recent & Upcoming Talks

Transferable Deep Learning Surrogates for Solving PDEs

Only Relative Speed Matters -- Virtual Causal Profiling

Scalable Web Performance Analysis Using Causal Profiling

On the Limits of Parallelizing Convolutional Neural Networks on GPUs

CFDNet - A deep learning-based accelerator for fluid simulations