From cbffd522bf85c0acd15c630a62eb7c0e0c36b6df Mon Sep 17 00:00:00 2001 From: David Phillips Date: Sat, 18 Feb 2017 15:07:47 +1300 Subject: Tidy performance data, disclose float size difference --- README.md | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 7fcd92d..7c1d41f 100644 --- a/README.md +++ b/README.md @@ -22,11 +22,8 @@ than CPU, but once you start upping the image size and detail, a modern GPU will provide endless benefit over a modern CPU. For example, using the CPU-based fractal-gen, a 10240x10240 pixel image at -1000 iteration cutout per pixel, the image will complete in just under 4 -minutes when running on all 32 threads of a dual-Xeon E5-2670 setup. Compare -this to the runtime of this software on a (much cheaper) NVIDIA GTX 1070; about -0.5 to 1 second. - -The gap only widens with more detail. Keeping the same image dimensions and -climbing up to 10000 iterations, the Xeons will take 2200 seconds; just under -37 minutes. The GTX 1070 takes just over 1 second. +10000 iteration cutout per pixel, the image will complete in about 2200 seconds +when running on all 32 threads of a dual-Xeon E5-2670 setup. Compare this to +the runtime of this software on a (much cheaper) NVIDIA GTX 1070; 1 second. + +This is using single-precision floats on the GPU. -- cgit v1.1