Zhen Ju gets his master’s degree from the University of the Chinese Academy of Sciences(UCAS) in 2016, and now is a Ph.D. candidate at UCAS, and he is major in computer science. Zhen Ju research in the fields of high-performance computing and heterogeneous acceleration. He has experience in accelerate codes on heterogeneous devices. He has developed an application that can remove redundancy sequences from biological sequences by CUDA and migrated it to One API.

Stay connected with the UXL Foundation. Subscribe to our newsletter.

Newsletter Sign Up

First Name

Last Name

By submitting this form, you are consenting to receive marketing emails about news, events, and training from UXL. You can unsubscribe at any time by following the “Subscription Center” link included within such communications. For information on our privacy practices and commitment to protecting your privacy, please review our Privacy Policy. We do not sell your contact information to third parties.

ABOUT

Foundation
Members & Partners
Leadership
Brand Guidelines
Contact Us

SPECIFICATION

Technical Overview
Specification Elements

DEVELOPER RESOURCES

Open Source Tools
Case Studies

COMMUNITY

Contribute
Events

NEWS & BLOG

News
Blog
Videos & Podcasts

BECOME A MEMBER

Unified Acceleration Foundation is a Joint Development Foundation Project

GitHub Slack LinkedIn Twitter Facebook YouTube