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Vectors-Operations-On-Different-Thread-Model

We are testing to see how using multiple threads will affect the speed it take compute Z = c ∗ V + Y where C is a constant and Z, V, and Y are vectors of integers of 1GB size. The first test is just using a single thread to get the base speed. The second test is having threads work on adjacent indexes and then computing their next space after n places, where n is the number of threads. The final test is when we have each thread work on a contiguous block of the thread. We test theses up to 2c threads and observe how they speed up or slow down, where c is the number of cores on the lambda machine.

Single threaded (one thread does all the multiplications and additions) Multi-threaded, where "adjacent" threads scale and add adjacent elements of X and Y. That, is Thread t will compute the indices t, t + n, t + 2n, ... were n is the number of threads. Multi-threaded, where threads break the vector into contiguous block of roughly the same size, and each thread works on those blocks.

This is parellel Progamming Homework 1 PPHW1Report Sam Nowak.pdf

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Testing different thread models speeds on vectors.

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