Run many functions (adaptively) on many cores (>10k-100k) using mpi4py.futures, ipyparallel, loky, or dask-mpi. 🎉
State space model + data pipeline to generate counterfactual time series trajectories on multiple clinical signals, used to evaluate the utility of counterfactual features in sepsis prediction
An MPI tutorial in Python
Magic commands to support running MPI python code as well as multi-node Dask workloads on Jupyter notebooks.
This is a simple tutorial on how to perform embarrassingly parallel data analysis in Python using ipyparallel and pandas
Brain Atlas Hackathon Registration Team
Very fast exact permutation test in Cython. Uses some bit twiddling to generate permutations quickly. Caution: not exhaustively tested!
This is my project for CSE-372: Introduction to High Performance Computing taught at IIT (BHU) Varanasi.
Automatically create a bare-bone ipyparallel cluster using a spot fleet on Amazon’s Elastic Compute Cloud (EC2)
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