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GPU610/Turing

361 bytes added, 11:05, 13 December 2015
Team Turing
I used 32 threads per block size in my paralellization of the nested for loop found in the Evolvetimestep function. The results were very good.
 
=== Assignment 3 ===
The first optimization I was able to make was using thread coalescence. This lead to a moderate per step speedup as seen in this graph.
 
[[Image:ColinCampbellGPU610A3G1.png|600px| ]]
 
I then attempted to modify the code to use shared memory. Unfortunately the way the algorithm accesses rows and columns out of order made this not viable.

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