The University of Texas at Austin 3 credits Statistics and Data Sciences
Study of parallel computing principles, architectures, and technologies; and parallel application development, performance, and scalability. Designed to help prepare students to formulate and develop parallel algorithms to implement effective applications for parallel computing systems. Statistics and Data Sciences 374C and Statistics and Scientific Computation 374C may not both be counted. Three lecture hours a week for one semester. Pre/Corequisites: Mathematics 408D or 408M, 340L, and prior programming experience using C or Fortran on Linux or Unix systems.
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