The Morning Paper

NOVEMBER 3, 2019

Perhaps the most interesting lesson/reminder is this: it takes a lot of effort to tune a Linux kernel. Google’s data center kernel is carefully performance tuned for their workloads. On the exact same hardware, the benchmark suite is then used to test 36 Linux release versions from 3.0 Headline results.

Performance 108

Performance Benchmarking Tuning Hardware 108

HammerDB

APRIL 19, 2023

Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. Please refer to this tuning guide to tune the system for HammerDB: Open Source Database Tuning Guide on 3rd Generation Intel® Xeon® Scalable Processors Based Platform. and 8.0.32

Performance 54

Performance Benchmarking Cache Storage 54

HammerDB

JANUARY 5, 2019

As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. If you only test your own application (and if you have more than one application which one will you use for benchmarking?)

Benchmarking 40

Benchmarking Database Social Media Scalability 40

John McCalpin

JANUARY 22, 2018

There was no deep goal — just a desire to see the maximum GFLOPS in action. The exercise seemed simple enough — just fix one item in the Colfax code and we should be finished. This is an uninspiring fraction of peak performance that would normally suggest significant inefficiencies in either the hardware or software.

Latency 40

Latency Hardware Code Testing 40