High Performance Code Generation in MLIR: An Early Case Study with GEMM — mentioned by celrod

Fri, 03 Jul 2020 17:51:32 GMT

For BLAS in particular, this paper can give you an idea of some of MLIR's capabilities: https://arxiv.org/pdf/2003.00532.pdf (But maybe you already know them better than I do.) LoopVectorization can't do many of these yet, so its performance will fall off a cliff shortly after the largest size on the plots (and at much smaller sizes for CPUs with a smaller L2 cache). I had to add code to perform packing/tiling in my actual matmul code on top of what it did. So that MLIR can generate that sort of code already looks promising. Still, the work of telling it what to do isn't easy. I'm not…

Paper and discussion history. A mention is not an endorsement.

High Performance Code Generation in MLIR: An Early Case Study with GEMM — HN submission

Sat, 07 Mar 2020 12:52:22 GMT

High Performance Code Generation in MLIR: An Early Case Study with GEMM

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

High Performance Code Generation in MLIR: An Early Case Study with GEMM · HackerPapers discussions

High Performance Code Generation in MLIR: An Early Case Study with GEMM — mentioned by celrod

High Performance Code Generation in MLIR: An Early Case Study with GEMM — HN submission