Commit 845f0584 authored by He Guanlin's avatar He Guanlin
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Update README.md

parent 1aecef07
【CPU-GPU-kmeans】
Two parallel and optimized implementations of the k-means clustering algorithm:
1. k-means on CPU: thread parallelization using OpenMP, auto-vectorization using AVX units
2. k-means on GPU: using shared memory, dynamic parallelism, and multiple streams
Optimized parallel implementations of the k-means clustering algorithm:
1. on multi-core CPU with vector units: thread parallelization using OpenMP, auto-vectorization using AVX units
2. on NVIDIA GPU: using shared memory, dynamic parallelism, and multiple streams
In particular, for both implementations we use a two-step summation method with package processing to handle the effect of rounding errors that may occur during the phase of updating cluster centroids.
【Makefile Configuration】
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