2019 Summer HPC and Data Science Boot Camps

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 Data Science and HPC.

  • Rice University instructors
  • Accelerated one-week 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

Space is limited, so you’ll want to register early and secure your spot today! Registration is now open for both the HPC and Data Science courses.
Location:
Rice BioScience Research Collaborative Buidling
Rice University
6500 Main Street
Houston, Texas 77005

The HPC Boot Camp – June 10-14, 2019 (Monday – Friday)
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, Pthreads, 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.


The Data Science Boot Camp – August 12 -16, 2019 (Monday – Friday)

Leading Data Science faculty serve as instructors for the Data Science Boot Camp at Rice University.   The curriculum covers topics ranging from Python, Cloud Computing, Unsupervised and Supervised Learning to Deep Learning.  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 have some previous exposure to basic probability, statistics, linear regression, matrix and vector notation, as well as some familiarity with Python programming languages.


The Ken Kennedy Institute for Information Technology (K2I), 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. K2I’s heritage and primary strengths are in the areas of high-performance computing and computational science and engineering. K2I’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 school, department, center, and laboratory boundaries and to encourage and develop close partnerships with industry, government, and other universities. Today, K2I is the virtual “home” of about 150 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 17 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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