Optimizing Performance Through Parallelization and Code Optimization Techniques
Explore the world of parallelization and code optimization in HW5, focusing on Conways Game of Life, stable patterns, key code parts, and performance improvement goals. Utilize pthreads, multithreading, cache optimizations, and more to enhance efficiency.
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Presentation Transcript
Conways Game of Life Simple 2D universe with simple rules, complex results! 1. Any live cell with fewer than two live neighbors dies 2. Any live cell with more than three live neighbors dies 3. Any live cell with two or three live neighbors lives on 4. Any dead cell with three live neighbors becomes alive 2
Interesting Stable Patterns Glider LightWeight Space Ship Pulsar 3
Typical Random Initial Universe DEMO DEMO NOTE: board wraps around (top/bottom, L/R) 5
Key Part of the Code: for (curgen = 0; curgen < gens_max; curgen++) for (i = 0; i < nrows; i++){ for (j = 0; j < ncols; j++){ int inorth = mod (i-1, nrows); int isouth = mod (i+1, nrows); int jwest = mod (j-1, ncols); int jeast = mod (j+1, ncols); const char neighbor_count = BOARD (inboard, inorth, jwest) + BOARD (inboard, inorth, j) + BOARD (inboard, inorth, jeast) + BOARD (inboard, i, jwest) + BOARD (inboard, i, jeast) + BOARD (inboard, isouth, jwest) + BOARD (inboard, isouth, j) + BOARD (inboard, isouth, jeast); BOARD(outboard, i, j) = alivep (neighbor_count, BOARD (inboard, i, j)); } } SWAP_BOARDS( outboard, inboard ); } 6
HW5: Your Goal Improve performance via parallelization use pthreads use at least 2 threads (probably 4 since 4 CPUs on UG*) Further improve performance via other optimizations by putting what we learnt all together hand code optimizations cache optimizations locks/synchronization better cell representation eliminating redundancy and/or unnecessary work compiler flags 7
