John McCalpin

APRIL 2, 2020

This data is from the 2007 presentation. It is not surprising that there is a lot of scatter, but the factor of four range in Peak MFLOPS at fixed SPECfp_rate2000/core and the factor of four range in SPECfp_rate2000/core at fixed Peak MFLOPS was higher than I expected… (Also from the 2007 presentation.)

Benchmarking 59

Benchmarking Performance Latency Architecture 59

n0derunner

MAY 6, 2019

A 2007 paper, that still has lots to say on the subject of benchmarking storage and filesystems. Primarily aimed at researchers and developers, but is relevant to anyone about to embark on a benchmarking effort. A Nine year study of filesystem and storage benchmarking Download. The post New (Old) Paper.

Benchmarking 40

Benchmarking Storage Cache Testing 40

Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Benchmark before you decide. The optimal value can be decided after testing multiple settings, starting from eight is a good choice. have been released since then with some major changes.

Performance 125

Performance Hardware Tuning Storage 125

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. Since 2007, support for these features has barely improved. Lower is better.

Media 145

Media Games Education Engineering 145

Rigor

SEPTEMBER 11, 2019

As CTO at Rigor, Billy spreads the message of creating strong performance cultures and building performance testing and validation into your development lifecycle through blogging and hosting The Best In Performance interview series. Paul Irish. Paul Irish.

Performance 89

Performance Education Google Website 89

Highly Scalable

MARCH 10, 2015

A/B testing and panel surveys are used in such cases to get additional data points that improve the precision of the model. A recommender system with multiple objectives was suggested in [JW10] and then developed and tested in practice at a large scale by LinkedIn [RP12]. Fisher, 2007. Problem 1 : Response Modeling. Khan and D.

Retail 152

Retail C++ Analytics Metrics 152

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. In 2007, businesses had started to become more distributed; customers were using multiple devices to access their files and there was a need to make this experience as smooth as possible.

Architecture 52

Architecture Cache Azure Storage 52