CSE633: Parallel Computing

Covers both theoretical parallel algorithms and experimental (hands-on) parallel computing.

• Talks by Dr. Matt Jones and Cynthia Cornelius, both on staff at CCR, covered 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. Notes on this material may be found at CCR Training Material.

• Computational Science & Engineering, Structural Biology, and 21st Century Academia, Russ Miller
• Parallelized Hash Collision Attacking, Benedikt F. Budig.
• Parallel PageRank Computation using MPI, Eric Li.
• Parallel Convex Hull using MPI, Alex Vertlieb.
• Cellular Automata, Nils Wisiol.
• An Implementation of Parallelizing Dijkstra's Algorithm, Zilong Ye.
• Parallelized Random Forests Learning, Jie Hu.
• Finite-size Facility Placement in an Existing Layout Using MPI and C, Ketan Date.
• Parallel Algorithm for Dense Matrix Multiplication, Patricia Ortega.
• Parallel Implementation of Gradient Descent, Hui Li.
• Artificial Bee Colony Algorithm using MPI, Pradeep Yenneti.
• N-Body Simulation, Sanjeev Pandey.
• Determining Line Segment Visibility with MPI, Jayan Patel.
• Parallel implementation of Apriori algorithm and association of mining rules using MPI, Sujith Mohan Velliyattikuzhi.
• Global Sequence Alignments using C/MPI, Ravi Patel.
• Parallel K-means Clustering, Ajay Padoor Chandramohan.
• Polynomials and Coding, Jimmy Dobler.
• Parallel Nash Equilibria in Bimatrix Games, Isaac Elbaz.
• Parallel Apriori Algorithm and Frequent itemsets with Gene Expression Data, Hyunwoo Sung.