Visiting Student - MCS - Gao, Yuhao - 2.2.26.

Argonne National Laboratory • Lemont, IL

2d

About The Position

High-performance GPU compressors have been developed and optimized primarily for NVIDIA GPUs, but many are not easily portable to other GPU architectures. This limits their applicability on heterogeneous platforms, including those used in U.S. exascale supercomputers. This project aims to design and implement architecture-agnostic GPU compression techniques that achieve performance portability across major GPU ecosystems (e.g., NVIDIA, AMD, and Intel), enabling broader adoption in large-scale scientific computing and AI workloads.

Requirements

• The entirety of the appointment must be conducted within the United States.
• Must be 18 years or older at the time the appointment begins.
• Applicants must be: Currently enrolled in undergraduate or graduate studies at an accredited institution. Graduated from an accredited institution within the past 3 months; or Actively enrolled in a graduate program at an accredited institution.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: No Education Listed