From WikiChip
Difference between revisions of "intel/dl boost"
< intel

(Overview)
Line 6: Line 6:
  
 
* {{x86|AVX512VNNI|AVX-512 Vector Neural Network Instructions}} (AVX512VNNI), first introduced with {{intel|Cascade Lake|l=arch}} (server) and {{intel|Ice Lake (Client)|Ice Lake|l=arch}} (Client)
 
* {{x86|AVX512VNNI|AVX-512 Vector Neural Network Instructions}} (AVX512VNNI), first introduced with {{intel|Cascade Lake|l=arch}} (server) and {{intel|Ice Lake (Client)|Ice Lake|l=arch}} (Client)
* [[Brain floating-point format]] (bfloat16), first introduced with {{intel|Cooper Lake|l=arch}} and {{intel|Ice Lake (Client)|Ice Lake|l=arch}} (Client)
+
* [[Brain floating-point format]] (bfloat16), first introduced with {{intel|Cooper Lake|l=arch}}
  
  
 
[[category:intel]]
 
[[category:intel]]

Revision as of 01:13, 4 October 2019

DL Boost (deep learning boost) is a name used by Intel to encompass a number of x86 technologies designed to accelerate AI workloads, specifically for the acceleration of inference.

Overview

DL Boost is a term used by Intel to describe a set of features on their microprocessors designed to accelerate AI workloads. The term was first introduced with Cascade Lake. DL Boost includes the following features: