From 0d6c26b9aa607ff14e14e6488bace207e324022a Mon Sep 17 00:00:00 2001 From: Marshall Lochbaum Date: Mon, 13 Jun 2022 13:20:34 -0400 Subject: =?UTF-8?q?Highlight=20[]=20as=20list=20brackets,=20like=20?= =?UTF-8?q?=E2=9F=A8=E2=9F=A9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docs/implementation/kclaims.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'docs/implementation/kclaims.html') diff --git a/docs/implementation/kclaims.html b/docs/implementation/kclaims.html index c92318c3..670187b3 100644 --- a/docs/implementation/kclaims.html +++ b/docs/implementation/kclaims.html @@ -38,7 +38,7 @@

cycles is the total number of CPU cycles run. L1-dcache-load-misses shows L1 data cache misses and L1-icache-load-misses shows the instruction cache misses; cache-misses shows accesses that miss every layer of caching, which is a subset of those two (more detailed explanation here). icache_16b.ifdata_stall is a little fancy. Here's the summary given by perf list:

  icache_16b.ifdata_stall
-       [Cycles where a code fetch is stalled due to L1 instruction cache miss]
+       [Cycles where a code fetch is stalled due to L1 instruction cache miss]

That's just the whole cost (in cycles) of L1 misses, exactly what we want! First I'll run this on a J program I have lying around, building my old Honors thesis with JtoLaTeX.

 Performance counter stats for 'jlatex document.jtex nopdf':
@@ -73,7 +73,7 @@
        2.138414849 seconds time elapsed

And the Python-based font tool I use to build font samples for this site:

-
 Performance counter stats for 'pyftsubset […more stuff]':
+
 Performance counter stats for 'pyftsubset […more stuff]':
 
        499,025,775      cycles:u
         24,869,974      icache_16b.ifdata_stall:u
-- 
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