search

gobbedy / thesis-scratch

Any/all work related to thesis -- a bit of a scratch space
0 stars 0 forks source link

Enhance performance #16

Closed gobbedy closed 6 years ago

gobbedy commented 6 years ago
  1. cleanup code + prep for acceleration -- grab the output from the golden model and save it in github -- integrate the uncomitted work I have in virtualbox VM -- switch from numpy to tensor in entire code -- try change code to L2 for speedup -- print results to file -- cleanup, esp gen_data and value_at_risk -- add nice comments to clarify what each function does (including list of args, etc as per style of weighter class + create smaller functions as needed -- check what smoother/weighter was used in first paper -- create a k nearest neighbor function, use my FAISS question to rename stuff

-- create mahalanobis distance function for clarity -- benchmark vs julia? -- faiss for mahalanobis distance search?

  1. accelerate code performance -- explore running on multiple cores -- explore running on GPU if possible https://docs.computecanada.ca/wiki/PyTorch -- look into parallel techniques described here https://docs.computecanada.ca/wiki/Job_scheduling_policies#Whole_nodes_versus_cores
gobbedy commented 6 years ago

This issue was moved to SITE5039/Guillaume#11