From 99836baa8389486bcb9e081fd0d080d7a0a6dcef Mon Sep 17 00:00:00 2001 From: Yuka Ikarashi Date: Fri, 11 Oct 2024 16:41:01 -0400 Subject: [PATCH] Update README.md --- examples/avx2_matmul/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/avx2_matmul/README.md b/examples/avx2_matmul/README.md index a586f4786..4328da356 100644 --- a/examples/avx2_matmul/README.md +++ b/examples/avx2_matmul/README.md @@ -6,7 +6,7 @@ This tutorial assumes some familiarity with SIMD instructions. Exo provides *scheduling operators* to transform program and rewrite them to make use of complex hardware instructions. We'll show you how to take a simple matrix multiplication kernel and transform it into an implementation that can make use of [AVX2](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions) vector instructions. -The complete code with scheduling operations can be found in `exo/examples/x86_matmul.py`, and running `make` will compile the Exo code and generate an executable `avx2_matmul`. +The complete code with scheduling operations can be found in `exo/examples/avx2_matmul/x86_matmul.py`, and running `make` will compile the Exo code and generate an executable `avx2_matmul`. ## Basic Implementation