This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In a previous post , we described how our TV application consists of a C++ SDK installed natively on the device, an updatable JavaScript user interface (UI) layer, and a custom rendering layer known as Gibbon. Our UI runs on top of a custom rendering engine which uses what we call a “surface cache” to optimize our use of graphics memory.
Figure 1: Comparison of widest CPUs in 2015 and 2025. Figure 2: Comparison of four ISA assemblies corresponding to the same C code These distance-based instruction sets eliminate the need for register-renaming hardware, thereby resolving the bottlenecks associated with traditional register-based architectures.
Aurora Parallel Query response time (for queries which can not use indexes) can be 5x-10x better compared to the non-parallel fully cached operations. The second and third run used the cached data. It does not use any cache (ie: innodb buffer pool) either. I will compare AWS Aurora with MySQL (Percona Server) 5.6
cachestat File system cache statistics line charts. Then, having discovered everything is C or Python, some rewrite it all in a different language. Here are the top ten tools you can run and present as a generic BPF observability dashboard, along with suggested visualizations: Tool Shows Visualization. opensnoop Files opened table.
One question I’ve often encountered is, “Why do we need HTTP/3 so soon after HTTP/2, which was only standardized in 2015?” However, many other devices are sitting between the client and the server that also have their own TCP code on board (examples include firewalls, load balancers, routers, caching servers, proxies, etc.).
This was starting to look like a Windows file cache bug. Maybe something to do with multi-socket coherency of the disk and cache or ??? The next step was a custom C++ program that opened the just-linked exe and called FlushFileBuffers on it. failure rate. 7-second sleep after linking exes: 2% failure rate. Update, October 2018.
When a web crawler visits a server that has already rendered the content and pictures, indexing and caching of the content becomes quicker. When one needs to make complex calculations simultaneously, then Swift, Objective-C, and Java have more speed than JavaScript since there are overheads within JavaScript to control native elements.
GA 17 October 2015 10.1.8 GA 21 October 2015 5.7.9 In-development for MySQL 8.0 (now now a release candidate) In-development for MySQL 8.0 (now now a release candidate) SQL – Window Functions Present in MariaDB Server 10.2 In-development for MySQL 8.0 (now now a release candidate) In-development for MySQL 8.0 (now
cachestat File system cache statistics line charts 7. Then, having discovered everything is C or Python, some rewrite it all in a different language. Here are the top ten tools you can run and present as a generic BPF observability dashboard, along with suggested visualizations: Tool Shows Visualization 1. BPF up and running!
In real-life world, most products aren’t even close: an median bundle size today is around 417KB , which is up 42% compared to early 2015. PRPL stands for Pushing critical resource, Rendering initial route, Pre-caching remaining routes and Lazy-loading remaining routes on demand. Assets Optimizations. Other options are available , too.
In real-life world, most products aren’t even close: an average bundle size today is around 400KB , which is up 35% compared to late 2015. PRPL stands for Pushing critical resource, Rendering initial route, Pre-caching remaining routes and Lazy-loading remaining routes on demand. We could also go beyond the bundle size budget though.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content