Full-stack Machine Learning Notebook
Description: Data Science, Machine Learning, Artificial Intelligence, and Programming
programming (6408) artificial intelligence (3611) machine learning (3353) data science (1571) scientific computing (36) accelerated c++ solutions (1) mathalope (1)
Written an article on implementing a toy O(n^2) N-body simulation algorithm with High Performance Computing (HPC) and Intel Xeon Phi Architecture. In Part 1, we describe the code optimization journey to boost performance from 3.2 to 2831 GFLOPS on a single node. In Part 2, we distribute workload across 16 cluster nodes to further boost performance to 33208 GFLOPS. End result: capable of performing over 1 trillion (1,099,510,579,200) particle-to-particle interactions per time-step at sub-second level (~662 m
Consultant, Data Analyst, Developer.
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Full-stack Machine Learning Notebook