Projects:

Progress Reports (Due Friday, April 24)

Final Slides and Reports Due (Due Wednesday, May 13)

Final Reports and Slides

Zachary Clifford - GPU-Accelerated program to play Go	Report	Slides
Igor Geller - Dynamic Parallel Query	Report	Slides
Scott Greenwald - Fixed Point Arithmetic and LU Decomposition in ALA	Report	Slides
Alexander Hayman - Parallelized KLU Factorization	Report	Slides
Sergio Herrero-Lopez - Multiclass Classification using Support Vector Machines on GPUs	Report	Slides
Hank Huang - Parallelizing SAT Solver	Report	Slides
Kushal Kedia - Hybrid Programming with OpenMP and MPI	Report	Slides
Jungpyo Lee - The parallelization of a block-tridiagonal matrix system by MPI Fortran	Report	Slides
Gary Matthias - A Distributed Genetic Algorithm for Learning Evaluation Parameters in a Strategy Game	Report	Slides
Anna Nikiforova - Parallel Molecular Dynamics Algorithms	Report	Slides
Geoffrey Oxberry - Parallelizing the graph isomorphism portion of an automatic reaction mechanism generation algorithm	Report	Slides
Amanda Peters - Parallel Model of Evolutionary Game Dynamics	Report	Slides
Danilo Scepanovic - Excitable Cell Simulation in Star-P	Report	Slides
Andrew Seagraves - Progress Towards a More Efficient Initialization for Discontinuous Galerkin FE Codes	Report	Slides
Jordan Sorensen - Ray Tracing in Parallel	Report	Slides
Brent Tweddle - Real Time Visual Mapping and Localization on a GPU	Report	Slides

Project Proposal (Due Thursday, March 19)

Please turn in a short description of your course project by Thursday night, March 19. Or let us know if you are looking for suggestions.

Some suggestions:
1. Analyze where time goes in a high level language like matlab when doing memory movements
2. Figure out Cannon's algorithm on SiCortex
3. Implement something cool on the Kautz graph, SiCortex
4. Analyze skewed matmuls like the ones shown in class e.g. 10000 x100 times 100x10000
5. Work with Prof. Edelman on a GPU project on analyzing data
6. Work with us on PetaBricks: A Language and Compiler for Algorithmic Choice. Come up with interesting benchmark algorithms from new application domains to implement in Petabricks and analyze the behavior.
7. Look into more learning strategies for searching for the optimal algorithms for the PetaBricks autotuner.
8. Work with Prof. Edelman on Numerical Math projects (as described in class on Wed Mar 18).
9. Saving the planet by solving elliptic problems on GPUs and (possibly) visualizing solution convergence.
10. Making awesome visuals from parallel particle transport codes with time dependent flows on GPUs.

Presentation

Project talks will start after spring break. The talks will be on what you have done, what you are working on and will be a good chance for feedback and suggestions.

A final writeup will be due at the end of the semester

Project Presentation Schedule (Tentative)

4/1 (W)	Zachary Clifford Jordan Sorensen Amanda Peters Gary Matthias Igor Geller
4/6 (M)	Anna Nikiforova Oleg Kozhushnyan Sergio Herrero Noah Jessop Randy Shults
4/8 (W)	Danilo Scepanovic Pablo Spivakovsky-Gonzalez Brent Tweddle Bill Herrington Jungpyo Lee
4/13 (M)	Geoffrey Oxberry Kushal Kedia Hank Huang Lei Zhang Alexander Hayman Scott Greenwald Brian Wong Rodrigo Iprince