From 24cd07b34793e41a6c5c4221939f9c450fdd2cb0 Mon Sep 17 00:00:00 2001 From: Vijay Janapa Reddi Date: Tue, 24 Feb 2026 08:52:03 -0500 Subject: [PATCH] =?UTF-8?q?footnotes:=20trim=20fn-mlperf=20(benchmarking)?= =?UTF-8?q?=20=E2=80=94=20remove=20three-suite=20recap=20that=20duplicated?= =?UTF-8?q?=20body=20prose?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- book/quarto/contents/vol1/benchmarking/benchmarking.qmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/book/quarto/contents/vol1/benchmarking/benchmarking.qmd b/book/quarto/contents/vol1/benchmarking/benchmarking.qmd index 50f316b51..00dca0aa3 100644 --- a/book/quarto/contents/vol1/benchmarking/benchmarking.qmd +++ b/book/quarto/contents/vol1/benchmarking/benchmarking.qmd @@ -342,7 +342,7 @@ DAWNBench [@coleman2017dawnbench] emerged as an early ML benchmark that pioneere \index{Patterson, David!MLPerf leadership} \index{MLCommons!benchmark organization} -[^fn-mlperf]: **MLPerf**: Founded in 2018 by researchers from Google, NVIDIA, Intel, Harvard, Stanford, and UC Berkeley, the name combines "ML" with "Perf" (performance), echoing SPEC's benchmarking tradition. MLPerf's design principles -- representative workloads, full-system measurement, and open submission -- directly address the gaming that plagued Whetstone and LINPACK. Its three suites (Training, Inference, Power) force vendors to report end-to-end numbers rather than cherry-picked kernel throughput. \index{MLPerf!founding} +[^fn-mlperf]: **MLPerf**: Founded in 2018 by researchers from Google, NVIDIA, Intel, Harvard, Stanford, and UC Berkeley, the name combines "ML" with "Perf" (performance), echoing SPEC's benchmarking tradition. MLPerf's design principles — representative workloads, full-system measurement, and open submission — directly address the gaming that plagued Whetstone and LINPACK: vendors who could previously report peak kernel throughput on cherry-picked problem sizes must now report end-to-end system performance on standardized tasks. \index{MLPerf!founding} ### Energy Benchmarks {#sec-benchmarking-energy-benchmarks-709a}