From 6f7d98d6698939f49a6ba1b13fab87068df6435e Mon Sep 17 00:00:00 2001 From: daan Date: Wed, 22 Jan 2020 15:08:18 -0800 Subject: [PATCH] fix benchmark chart links --- readme.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/readme.md b/readme.md index c5c71ac4..388e6470 100644 --- a/readme.md +++ b/readme.md @@ -358,8 +358,8 @@ the memory compacting [_Mesh_](https://github.com/plasma-umass/Mesh) (git:51222e Bobby Powers _et al_ \[8], and finally the default system allocator (glibc, 2.7.0) (based on _PtMalloc2_). -![bench-c5-18xlarge-a](doc/bench-c5-18xlarge-2020-01-20-a.svq) -![bench-c5-18xlarge-b](doc/bench-c5-18xlarge-2020-01-20-b.svq) +![bench-c5-18xlarge-a](doc/bench-c5-18xlarge-2020-01-20-a.svg) +![bench-c5-18xlarge-b](doc/bench-c5-18xlarge-2020-01-20-b.svg) Any benchmarks ending in `N` run on all processors in parallel. Results are averaged over 10 runs and reported relative @@ -450,8 +450,8 @@ having a 48 processor AMD Epyc 7000 at 2.5GHz with 384GiB of memory. The results are similar to the Intel results but it is interesting to see the differences in the _larsonN_, _mstressN_, and _xmalloc-testN_ benchmarks. -![bench-r5a-12xlarge-a](doc/bench-r5a-12xlarge-2020-01-16-a.svq) -![bench-r5a-12xlarge-b](doc/bench-r5a-12xlarge-2020-01-16-b.svq) +![bench-r5a-12xlarge-a](doc/bench-r5a-12xlarge-2020-01-16-a.svg) +![bench-r5a-12xlarge-b](doc/bench-r5a-12xlarge-2020-01-16-b.svg) ## Peak Working Set @@ -459,8 +459,8 @@ see the differences in the _larsonN_, _mstressN_, and _xmalloc-testN_ benchmarks The following figure shows the peak working set (rss) of the allocators on the benchmarks (on the c5.18xlarge instance). -![bench-c5-18xlarge-rss-a](doc/bench-c5-18xlarge-2020-01-20-rss-a.svq) -![bench-c5-18xlarge-rss-b](doc/bench-c5-18xlarge-2020-01-20-rss-b.svq) +![bench-c5-18xlarge-rss-a](doc/bench-c5-18xlarge-2020-01-20-rss-a.svg) +![bench-c5-18xlarge-rss-b](doc/bench-c5-18xlarge-2020-01-20-rss-b.svg) Note that the _xmalloc-testN_ memory usage should be disregarded as it allocates more the faster the program runs. Similarly, memory usage of