AI BriefingAI Compute Extensions (ACE) Specification
Key point
ACE, a new compute extension specification for accelerating ML workloads on the x86 architecture, has been defined.
Details
The x86 ecosystem has defined the ACE (AI Compute Extensions) specification for accelerating Matrix Multiplication Kernels and low-precision data formats, which are essential for machine learning (ML) workloads.
ACE extensions provide matrix multiplication primitives that complement existing AVX and scalar code, with the following key features:
- ACE Register State: Includes Tile and Block Scale registers
- Data Processing Operations: Consume AVX register inputs and operate on tile register state
- Data Movement Operations: Support data movement between ACE register state and AVX registers
- System Management: Provides state management and related operations
Through tight integration between AVX vectors and ACE tile registers, ACE combines tile processing capabilities with high compute density and AVX's comprehensive data processing capabilities. In addition, dedicated Format Convert operations are also provided under the AVX10 framework.
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