Solving Simultaneous Linear Equations Using GPU
Oriel Rosen and Haviv Cohen
Supervised by Havier Turek and Yaron Honen
Image processing tends to demand highly complicated computations. Though some programming languages (as Matlab) are very comfortable for mathematical usage, they are less than ideal in terms of performance, leading to programs which run far too much time. The solution to that problem is to use “stronger” tools at the choke-points of the computation. By programming with low-level languages and by using parallelism, we can drastically improve our program’s performance.
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