Projects
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This page lists some of my most interesting programming projects. Some of them are improved versions of class assignments and some are just personal projects. Many projects have full source included and it is usually published under Public Domain or MIT licenses on GitHub.
This project demonstrates visualization techniques like glyphs, stream lines, stream tubes, and stream surfaces — all in real time. The key is RK4 integrator implemented in CUDA that is using very fast texture lookup functions to access a vector field. The vector field itself is stored as a 3D texture which enables to use hardware accelerated trilinear interpolation lookup functions. This article contains more than 100 images and figures, commented code snippets, and source code available for download. Read on ...
School project (CS 530 -- Introduction to Scientific Visualization)
Conway's Game of Life on GPU using CUDA
This project compares performance of CPU and GPU in evaluation of famous Conway's Game of Life. The performance was tested on three different implementations. The most sophisticated version of the algorithm on GPU stores data in one bit-per-cell array and leads to speed-up of 480x compared to serial CPU algorithm. The best implementation for CPU turned out to be lookup-table approach leading to 60x speedups over serial CPU. The report contains detailed explanation of used algorithms, measurements, and code of whole project for download. Read on ...
School project (CGT 620 -- GPU Programming in CUDA)
Comparison of performance of CPU and GPU in computation of Random faults algorithm for random terrain generation. Speedup of GPU over CPU is over 700x. Project uses shared VBO's to avoid CPU-GPU data transfer which makes it interactive experience. Read on ...
School project (CGT 620 -- GPU Programming in CUDA)