2020 Summer HPC and Machine Learning Boot Camps

In light of the current situation with the novel coronavirus COVID-19, we will not be opening registration for the 2020 Machine Learning and HPC Boot Camps at this time. The Boot Camps are scheduled for May 28-29 and June 8-12 respectively. Due to the uncertainty of holding future events at this moment, we would like anyone interested in attending the boot camps to complete the following poll. Please note, we will not be accepting payments at this time, but the poll will help us to determine the number of interested parties as well as who may be interested in an online option.

Click here if you are interested in attending the 2020 Machine Learning Boot Camp.

Click here if you are interested in attending the 2020 HPC Boot Camp.


Data science and high-performance computing (HPC) skills are in high demand. With the Ken Kennedy Institute’s hi-tech summer boot camps, you can accelerate your future and quickly get the skills needed to advance your knowledge in the areas of Machine Learning and HPC.

  • Rice University instructors
  • Accelerated one-week or 2-day courses
  • Hands-on technology lab sessions
  • Enhanced online learning tools
  • Breakfast, lunch, and snacks included
  • Each attendee will receive a certificate upon completion of the course

Machine Learning Boot Camp – May 28-29, 2020
(Thursday – Friday |  8:00 a.m. – 5:00 p.m.)

Location: Duncan Hall, Rice University

Daily Schedule
8:00 a.m  – Breakfast
8:30am – Start of Instruction
12:00 p.m. – 1:00 p.m. Lunch
5:00 p.m. End of Instruction


HPC Boot Camp – June 8-12, 2020
(Monday – Friday | 8:00 a.m.- 5:00 p.m.)

Location: BioScience Research Collaborative (BRC) 280

Daily Schedule
8:00 a.m  – Breakfast
8:30am – Start of Instruction
12:00 p.m. – 1:00 p.m. Lunch
5:00 p.m. End of Instruction

Leading HPC faculty and staff members from Rice University serve as instructors for the HPC Boot Camp. The curriculum covers topics ranging from MPI, OpenMP, Performance analysis (HPCToolkit), accelerated computing using GPGPU (OpenACC and CUDA), and GPU programming including Numba, Tensorflow, and domain-specific CUDA libraries. Using Rice’s shared computing infrastructure, hands-on laboratory sessions supported by the instructor and lab assistants will be offered each day allowing participants to practice what is being taught in the class sessions.

Prerequisites: Participants should be comfortable with using Linux command line for program development and compiling. You should have basic knowledge of development and debugging of sequential programs in C/C++ and/or Fortran.

View HPC Curriculum


About

The Ken Kennedy Institute, at Rice University, is a research-centric institute dedicated to the advancement of applied interdisciplinary research in the areas of computation, data science, and information technology. The Institute’s heritage and primary strengths are in the areas of high-performance computing and computational science and engineering. The Institute’s goals are to support, foster, and develop a strong community of research and education across a wide area of computing technologies, computational engineering, and information processing.

Our goals are to be a catalyst for research collaboration across the school, department, center, and laboratory boundaries and to encourage and develop close partnerships with industry, government, and other universities. Today, the Ken Kennedy Institute is the virtual “home” of about 190 Rice faculty members and senior researchers drawn from across the university. From its roots in Computer Science, Electrical and Computer Engineering, Computational and Applied Mathematics, and Statistics, it has grown to encompass faculty from 21 departments at Rice.

The Institute’s power lies in its ability to look beyond individual faculty members and departments and support the creation of teams that can successfully leverage our key research strengths. Through interaction with industry and frequent visits to funding agencies, we encourage and support the team building necessary to match faculty expertise with opportunities. The institute serves as the catalyst for developing these opportunities and moving them forward.

 

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