Blue Waters Graduate Fellowships
The Blue Waters Graduate Fellowships provide PhD students with a year of support, including a $38,000 stipend, up to $12,000 in tuition allowance, an allocation on the powerful Blue Waters petascale computing system, and funds to support travel to a Blue Waters-sponsored symposium. Applications are due each February. Read complete details about the Blue Waters Graduate Fellowships
Online graduate courses
The Blue Waters project provides online graduate-level courses, which are offered for credit to students at institutions across the country with the participation of local faculty members.
Past courses include:
- High Performance Visualization for Large-Scale Scientific Data Analytics (Spring 2015)
- Designing and Building Appliations for Extreme-Scale Systems (Spring 2015)
- Algorithmic Techniques for Scalable Many-core Computing (Fall 2014)
Call for Courses
Would you like to teach an online course on a topic related to high-end computational analysis? The Blue Waters project is always interested in collaborating with instructors and will help defray video production costs, hosting of the materials, stipend for the instructor(s), a teaching assistant, and course management services such as coordination of cross-institution registration.
Interested faculty are asked to send a one- or two-page summary including the course title and short abstract, computing system requirements, a brief biography of the instructor(s), and the semester you would like to teach the course. Send the information to Steve Gordon email@example.com.
Virtual School of Computational Science and Engineering
The Virtual School of Computational Science and Engineering (VSCSE) offers summer workshops that allow graduate students, post-doctoral students and professionals from academia, government and industry to gain the skills they need to leverage the power of cutting-edge computational resources. The Virtual School helps students fill knowledge gaps, preparing them to use emerging petascale computing resources. Virtual Summer School courses are delivered simultaneously at multiple locations across the country using high-definition videoconferencing technology.
Supercomputing for Everyone Series: Performance Tuning Summer School (Aug. 17 - 21, 2015)
From a user perspective, supercomputers are more complicated to program and handle than an ordinary desktop workstation. Unfortunately, this leads to parallel programs that do no necessarily satisfy the performance expectations of the users. Such unexpected performance results can have many reasons. Basic knowledge on performance modeling, prediction and verification, as taught in this summer school, is needed by users to formulate and verify their performance expectations.
Science Visualization (Aug. 24 - 25, 2015)
This two-day in-person training covers all aspects of visualizing data from a broad variety of domains. The training kicks off with an introduction to visualization followed by best practices when dealing with diverse data (abstract and spatial), demonstrating a variety of methods and techniques on those data sets and demonstrating a range of freely available software. Real world problems for which visualization is needed will be demonstrated and attendees will be taken through the process of visualizing this data and gaining insight.