CSE633: Parallel Computing

The focus of this course will be on experimental (hands-on) parallel computing. Each student is responsible for a semester-long project. Grading will be based on the project, as well as two PPT-type talks covering the project. The first talk provides a brief explanation of the proposed project, goals, expectations, and a timeline of the work to be performed. The second talk provides a summary of accomplishments. Students are encouraged to look at the final talks from previous semesters, available below. Note that a successfully completed project satisfies the requirement for a project in the M.S. program. (The student who completes the project successfully is responsible for filling out the proper paperwork and presenting it to Dr. Miller for a signature.) NB: There will be a cap on the number of students allowed to enroll in the course, so that those who are enrolled will have a full experience and educational opportunity.

• Dr. Matt Jones (CCR) presented material covering an introduction to CCR and their systems, logging into and submitting jobs to CCR's clusters, MPI programming, OpenMP programming, and debugging, to name a few. Please see presentations on MPI, OpenMP, and SLURM at CCR.

• Hyperquicksort, Mrunal Narendra Inge.
• Parallel K-Means Clustering with MPI, Meghana Narvangla Prasanna.
• LASSO Parallel with MPI, Yihe Yu.
• Parallel Computing: Matrix Multiplication using MPI, Neel Vijaybhai Dungarani.
• Parallel SGD using MPI, Jiarui Liu.
• Computing RMSD using GPGPUs, Nicolas Barrios.
• Quantum Cirtuit Simulator in a Parallel Environment, Daniel Winton.
• 2D Heat Equation Solver Using MPI, Saurabh Wanivadekar.