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Advanced Matrix Extensions

Advanced Matrix Extensions (AMX), also known as Intel Advanced Matrix Extensions (Intel AMX), are extensions to the x86 instruction set architecture (ISA) for microprocessors from Intel designed to work on matrices to accelerate artificial intelligence (AI) and machine learning (ML) workloads. They perform matrix multiplication at the hardware level, making them apt for problems and algorithms that use matrix multiplication as their core.

16×J for A and J is 64 for INT8 and 32 for BF16. The matrix multiplication requires 512J operations in 16 cycles.

Software support

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References

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Cutress, Ian. "Intel Xeon Sapphire Rapids: How To Go Monolithic with Tiles". AnandTech. Archived from the original on August 31, 2021.
  • 1 2 Larabel, Michael (July 12, 2023). "Intel Granite Rapids D Support Merged Into GCC 14". Phoronix.
  • ↑ "Accelerate Artificial Intelligence (AI) Workloads with Intel Advanced Matrix Extensions (Intel AMX)" (PDF). Intel. Retrieved 2023-04-13.
  • 1 2 "[X86-64] Support Intel AMX instructions". GitHub. 2020-07-02. Retrieved 2020-07-02.
  • 1 2 "[PATCH] Enable GCC support for AMX". 2020-07-06. Retrieved 2020-07-09.
  • ↑ "Linux 5.16 Features Include FUTEX2, Intel AMX, Folios, DG2/Alchemist, More Apple Silicon Support". Phoronix.
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