# \[ANN\] LoopVectorization

**URL:** <https://discourse.julialang.org/t/ann-loopvectorization/32843>\
**Category:** Package Announcements\
**Created:** [January 1, 2020, 8:08am UTC](https://discourse.julialang.org/t/ann-loopvectorization/32843 "2020-01-01T08:08:57Z")\
**Posts on this page:** 1\
**Showing post:** 5

<div class="post-metadata">

**Author:** ![PetrKryslUCSD](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/petrkryslucsd/32/215825_2.png) [@PetrKryslUCSD](https://discourse.julialang.org/u/PetrKryslUCSD)\
**Post date:** [January 1, 2020, 10:45pm UTC](https://discourse.julialang.org/t/ann-loopvectorization/32843/5 "2020-01-01T22:45:39Z")

</div>

My measurements (EDIT: Previously I’ve used the wrong sequence of indexes by mistake. The numbers below have been corrected.):

```julia
n = 64                                                                                                                                                              
gemm!                                                                                                                                                               
  90.499 μs (0 allocations: 0 bytes)                                                                                                                                
gemmsimd!                                                                                                                                                           
  93.999 μs (0 allocations: 0 bytes)                                                                                                                                
gemmblas!                                                                                                                                                           
  30.900 μs (0 allocations: 0 bytes)                                                                                                                                
gemmavx!                                                                                                                                                            
  36.899 μs (0 allocations: 0 bytes)                                                                                                                                
n = 32                                                                                                                                                              
gemm!                                                                                                                                                               
  12.600 μs (0 allocations: 0 bytes)                                                                                                                                
gemmsimd!                                                                                                                                                           
  13.999 μs (0 allocations: 0 bytes)                                                                                                                                
gemmblas!                                                                                                                                                           
  4.966 μs (0 allocations: 0 bytes)                                                                                                                                 
gemmavx!                                                                                                                                                            
  4.914 μs (0 allocations: 0 bytes)                                                                                                                                 
n = 16                                                                                                                                                              
gemm!                                                                                                                                                               
  1.910 μs (0 allocations: 0 bytes)                                                                                                                                 
gemmsimd!                                                                                                                                                           
  2.111 μs (0 allocations: 0 bytes)                                                                                                                                 
gemmblas!                                                                                                                                                           
  1.009 μs (0 allocations: 0 bytes)                                                                                                                                 
gemmavx!                                                                                                                                                            
  838.158 ns (0 allocations: 0 bytes)                                                                                                                               
n = 8                                                                                                                                                               
gemm!                                                                                                                                                               
  543.612 ns (0 allocations: 0 bytes)                                                                                                                               
gemmsimd!                                                                                                                                                           
  612.571 ns (0 allocations: 0 bytes)                                                                                                                               
gemmblas!                                                                                                                                                           
  356.398 ns (0 allocations: 0 bytes)                                                                                                                               
gemmavx!                                                                                                                                                            
  166.395 ns (0 allocations: 0 bytes)    

```

Obtained with Intel(R) Core™ i7-2670QM CPU @ 2.20GHz.  
According to the Intel website it has AVX.

By the way, is there a “Julian” way of querying the capabilities of processors?

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_[View the full topic](https://discourse.julialang.org/t/ann-loopvectorization/32843)._