Remove 2007 Remove Benchmarking Remove Cache Remove Processing
article thumbnail

The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

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.)

article thumbnail

InnoDB Performance Optimization Basics

Percona

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Benchmark before you decide. have been released since then with some major changes.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Progress Delayed Is Progress Denied

Alex Russell

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. Keyboard Lock API.

Media 145
article thumbnail

Is Intel Doomed in the Server CPU Space?

SQL Performance

From 2007 until 2016, Intel was able to successfully execute their Tick-Tock release strategy, where they would introduce a new processor microarchitecture roughly every two years (a Tock release). Intel officially moved on to what they call " Process- Architecture-Optimization (PAO) " in early 2016. So, what has changed my mind?

Servers 46
article thumbnail

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Your Laptop has a filesystem used by hundreds of processes. It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. On prem data processing. Edge caching. Nginx for disk based caching. Recommendations.