Top Tweets for #AVX512IFMA
@owainkenway 1/2
Going through a really cool paper from @enp1s0 on using int8 MatMull units to do DGEMM.
An interesting note is that the technique used beats the HW DGEMM on NV Turing (RTX 2k series) amongst others using only the Integer units.
Also thinking about using #AVX512IFMA ...
This is my #AVX512F libdivide-based printing idea: not so dense and elegant as the #AVX512IFMA, but it works even on #KnightsLanding, #SkyLakeX, #SkyLakeSP, #CascadeLake, #CooperLake
Free source:
https://t.co/3WOTSwyyYV

This is my #AVX512IFMA printing idea: how can a VPMADD52LUQ + VPMADD52HUQ pair generate 8 decimal ascii digits?
Free source:
https://t.co/3WOTSwyyYV

This is my #AVX512IFMA printing idea: how can a VPMADD52LUQ + VPMADD52HUQ pair generate 8 decimal ascii digits?
Free source:
https://t.co/3WOTSwyyYV

I have implemented 16 versions of the decimal printing function to serve as reference work:
- 32 / 64-bit
- signed / unsigned
- #AVX512IFMA / #AVX512F
- intrinsic / assembly
all with size- and negative-sign handling.

I have also implemented a libdivide-based #AVX512F version for the old #KnightsLanding, Cascade-, Cooper- and #SkylakeX, without #AVX512IFMA. It is not such a breakthrough as the IFMA version, but is still faster on SKX than everything else except the 40000B LUT.

I have also implemented a libdivide-based #AVX512F version for the old #KnightsLanding, Cascade-, Cooper- and #SkylakeX, without #AVX512IFMA. It is not such a breakthrough as the IFMA version, but is still faster on SKX than everything else except the 40000B LUT.

New #AVX512 levels can be useful for everyday tasks too, such as decimal printing.
#AVX512IFMA version is not only faster, but it uses just a few cachelines instead of the 40000B LUT.
#AMD # Zen4, #Intel #Cannon-, #Ice-, #Tiger-, #Rocket- or proper #AlderLake is required.

New #AVX512 levels can be useful for everyday tasks too, such as decimal printing.
#AVX512IFMA version is not only faster, but it uses just a few cachelines instead of the 40000B LUT.
#AMD # Zen4, #Intel #Cannon-, #Ice-, #Tiger-, #Rocket- or proper #AlderLake is required.

This wikichip article reveals that Centaur CNS core supports #AVX512VBMI and #AVX512IFMA with 256b-wide ports. The ISA is on par with #Intel CannonLake
https://t.co/e7VVZ1Bj3K
Last Seen Hashtags on Sotwe
Trends for you
Most Popular Users

Elon Musk 
@elonmusk
241.5M followers

Barack Obama 
@barackobama
118.8M followers

Cristiano Ronaldo 
@cristiano
114.5M followers

Donald J. Trump 
@realdonaldtrump
111.8M followers

Narendra Modi 
@narendramodi
107.1M followers

Rihanna 
@rihanna
98.7M followers

NASA 
@nasa
92.3M followers

Justin Bieber 
@justinbieber
91.8M followers

KATY PERRY 
@katyperry
90M followers

Taylor Swift 
@taylorswift13
84M followers

Lady Gaga 
@ladygaga
75.5M followers

Virat Kohli 
@imvkohli
73.5M followers

Kim Kardashian 
@kimkardashian
70.9M followers

YouTube 
@youtube
68.8M followers

Neymar Jr 
@neymarjr
66.5M followers

Bill Gates 
@billgates
65.3M followers

Selena Gomez 
@selenagomez
63.1M followers

The Ellen Show
@theellenshow
62.2M followers

CNN 
@cnn
61.7M followers

X 
@x
60.7M followers


