Intel MKL
Shares rank 2 of 3 linear algebra libraries by recommenders
Fast math library whose per-processor dispatch gives strong performance across x86-64 machines; the most common caveat is only scalar fallback code runs on AMD CPUs.
Fast math library whose per-processor dispatch gives strong performance across x86-64 machines; the most common caveat is only scalar fallback code runs on AMD CPUs.
7 people gave an opinion
- recommend it
- 5
- criticize it
- 2
- approval share
- 71%
Recommended in 4 of 13 months
- November 2025: not recommended
- December 2025: recommended
- January 2026: recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: recommended
- August 2026: not recommended
- September 2026: not recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 5 people recommend itNeeds 10 or more, not met.
- 2.5 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 4 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Fast performance across x86-64 processors
“it's a great library, but implementing dynamic dispatch for all the different processor types is why it gets such good performance across x86-64 machines”
Comment from 21 Jan 2026 in “Batmobile: 10-20x Faster CUDA Kernels for Equivariant Graph Neural Networks” “I’ve seen speed ups from writing SIMD or using the vector functions in MKL”
Comment from 23 Jul 2026 in “Everyone Should Know SIMD”
Other linear algebra libraries people recommend
The two most recommended other linear algebra libraries, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Eigen C++ library | 10 | 4 | 71% | 7 | — | Approved |
| Intel MKLThis page | 5 | 2 | 71% | 4 | — | — |
| LAPACK | 5 | 0 | 100% | 4 | — | — |
What people said
All 7 comments that mention it, newest first. Each links to the original comment.
“I think the best is still Intel's sparse libraries for MKL on CPU”
“I’ve seen speed ups from writing SIMD or using the vector functions in MKL”
“their MKL, MPI, etc. are not paralleled”
“a lot of the expected developer tools are just barely functional or don’t exist”
“it's a great library, but implementing dynamic dispatch for all the different processor types is why it gets such good performance across x86-64 machines”
“Intel added reproducible BLAS to oneMKL on CPU and GPU last year.”
“severely gimped on AMD - SIMD is disabled and only the scalar fallback code runs”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.