Summer Hi-tech 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 (May 28-29)
Click here if you are interested in attending the 2020 HPC Boot Camp (Jun 8-12)
The Data Science/Machine Learning and High Performance Computing (HPC) Boot Camps are intensive training programs that offer guided instruction and hands-on learning. Both camps are held annually in the summer at Rice University and are taught by Rice University faculty and associates.
These training sessions introduce the skills needed to help leverage cutting edge data analytics tools, and get you up to speed on skills required to start leveraging the latest HPC and Data Science tools. Early registration is recommended as these courses fill up fast!
More information available at: http://bootcamp.rice.edu/
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The Machine Learning Boot Camp
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.
More information available at: http://bootcamp.rice.edu/
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Leading High-Performance Computing (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.
More information available at: http://bootcamp.rice.edu/
