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IntelLabs / ParallelAccelerator.jl

The ParallelAccelerator package, part of the High Performance Scripting project at Intel Labs
BSD 2-Clause "Simplified" License
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Recommender system benchmark #90

Open lkuper opened 8 years ago

lkuper commented 8 years ago

From @ViralBShah :

https://github.com/JuliaLang/julia/issues/15874

Folks, this is another non-trivial benchmark. It is the ALS algorithm. We have some work to improve the multi-threading performance, but figured that the folks at Intel may find it interesting. Abhijith, from Julia Computing, has been doing this work. The issue describes where the code is and how to run it with the datasets.

Good example for ParallelAccelerator too.

This might be interesting to look into for HPAT, too.

ehsantn commented 8 years ago

Yes, this is interesting for both ParallelAccelerator and HPAT. We have already looked at ALS to some extent for HPAT but we need sparse matrix support first.

ViralBShah commented 8 years ago

Yes, sparse matrix support is a must.

lkuper commented 8 years ago

For background on what the RecSys.jl package is doing, here's the Julia Computing blog post on it. And, to understand that, the context from the ALS paper is helpful.