Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
src
 
 
 
 
 
 
 
 

GPU-CMI

a GPU-Accelerated Implementation of Conditional Moment Inequality Inference

GPU-CMI is a GPU-Accelerated implementation of Andrews and Shi(2013). This implementation exploits the parallel feature in the inference procedure and utilizes GPU computation whenever it is possible. This makes it much faster than the original implementation. Moreover, it allows users to implement custom instrumental functions in addition to the hypercube family in the original paper. The library is written in C++ and CUDA. Its source code is published under the Apache License 2.0.

About

a GPU-Accelerated Implementation of Conditional Moment Inequality Inference

Resources

License

Releases

No releases published

Packages

No packages published