Everything on Precision: Numeric Formats in Modern ML and HPC
A walkthrough of numeric formats that matter today — FP32, TF32, FP16, BF16, FP8, INT8, INT4 — how they behave, when to use each, and where the pitfalls hide.
A walkthrough of numeric formats that matter today — FP32, TF32, FP16, BF16, FP8, INT8, INT4 — how they behave, when to use each, and where the pitfalls hide.
Notes from getting Intel AMX to do a matrix multiply: the VNNI memory layout, why skipping it gives silently wrong answers, and LIBXSMM’s dispatch model.