Argonne Leadership Computing Facility

ALCF Resources
- Computing Resources
  
  Aurora
  
  Polaris
  
  Sophia
  
  Crux
  
  ALCF AI Testbed
  
  Evaluation Testbeds
  
  Storage and Networking
- Facility Expertise
  
  Facility Expertise
Leadership Computing Resources

The ALCF provides users with access to supercomputing resources that are significantly more powerful than systems typically used for open scientific research.

Featured: Aurora
Science and Engineering
- Output
  
  Projects
  
  Publications
  
  Case Studies
- Allocation Programs
  
  INCITE Program
  
  ALCC Program
  
  Director’s Discretionary
  
  Early Science Program
  
  NAIRR Program
Computational Science

The ALCF is accelerating scientific discoveries in many disciplines, ranging from chemistry and engineering to physics and materials science.

Featured: Engineering
Community and Outreach
- Partnerships
  
  Industry
  
  Collaborations
- Educational Outreach
  
  Women in STEM
  
  Student Programs
- Community
  
  NAIRR Pilot
  
  ALCF Lighthouse Initiative
  
  Exascale Computing Roundtable
Growing the HPC Community

The ALCF is committed to providing training and outreach opportunities that prepare researchers to efficiently use its leadership computing systems, while also cultivating a diverse and skilled HPC workforce for the future.
About
- Get to Know More
  
  Leadership
  
  People
  
  Organizational Chart
  
  Code of Conduct
  
  User Advisory Council
  
  History
- Visit
  
  Visiting ALCF
  
  Tours
- Latest
  
  News
  
  Careers
- Press Kits
  
  ALCF Media Kit
  
  Aurora Media Kit
  
  Reports Archive
Accelerating Science

The Argonne Leadership Computing Facility enables breakthroughs in science and engineering by providing supercomputing resources and expertise to the research community.
Support
- Current
  
  Machine Status
  
  Facility Updates
  
  MyALCF
- Training
  
  Training Overview
  
  Training and Events
  
  OnDemand Training Videos
Support Center

The ALCF Support Center assists users with support requests related to their ALCF projects.

Help Desk
Hours: 9:00am-5:00pm CT M-F
Email: support@alcf.anl.gov
Guides
Featured: Get Started

Featured: MyALCF

A Machine Learning-Genetic Algorithm (Ml-Ga) Approach for Rapid Optimization Using High-Performance Computing

Published 04/01/2018

Publication SAE International Journal of Commercial Vehicles

Authors

Ahmed Abdul Moiz, Pinaki Pal, Daniel Probst, Yuanjiang Pei, Yu Zhang, Sibendu Som, Janardhan Kodavasal

Publication Date

2018

Name of Publication Source

SAE International Journal of Commercial Vehicles

Publisher

SAE International

Volume

127

Page Numbers

291-306

DOI

10.4271/2018-01-0190

Source Link

https://www.researchgate.net/publication/321744545_A_Machine_Learning-Genetic_A…

Leadership Computing Resources

Featured: Aurora

Computational Science

Featured: Engineering

Growing the HPC Community

Accelerating Science

Support Center

Featured: Get Started

Featured: MyALCF

A Machine Learning-Genetic Algorithm (Ml-Ga) Approach for Rapid Optimization Using High-Performance Computing