Using MKL vectorized functions for things like tanh, exp, log, ...
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- rust
- Domain
- performance
Research direction
The issue names ndarray's vector.mapv operation and Intel MKL's vsTanh function, with tanh, exp, and log as examples. Start by evaluating the proposed MKL-backed feature gate and compare it with the current mapv approach. Done would mean a decided integration scope and corresponding support for the requested vectorized functions.
Written by the indexing model from the issue text.
Description
I found, that using MKL library functions like vsTanh (https://software.intel.com/en-us/mkl-developer-reference-fortran-v-tanh) is quite faster than doing vector.mapv(|x| x.tanh()).
Is it worth including this in ndarray crate behind feature gate?
- Dominant language
- Rust
- Stars
- 4.3k
- Forks
- 391
- PR merge metrics
- No merged PRs in 30d
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