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
This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. The video is on [youtube]: The slides are on [slideshare] or as a [PDF]: I work on many areas of performance, but recently I've had a lot of demand to talk about BPF.
2015-2020: Overhead As part of production rollout I did many performance overhead tests, which I've described publicly before: The overhead of adding frame pointers to everything (libc and Java) was usually less than 1%, with one exception of 10%. Google should be no surprise because they pioneered continuous profiling.)
Google and Amazon’s latest AI chips have arrived," [link] Oct 2022 - [Intel 22] Intel, "Intel® Developer Cloud," [link] accessed Dec 2022 I've taken care to cite the author names along with the talk titles and dates, including for Internet sources, instead of the common practice of just listing URLs.
In leaner years (2012-2015), a single Fall release was all we'd get. From outright misstatements about a competitor's security, to claims that performance differences in hardware show Safari is faster, to [geographic brinksmanship](/2022/02/minimum-standards/), the confident bluster hasn't gone down particularly well.
This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. The video is on [youtube]: The slides are [here] or as a [PDF]: first prev next last / permalink/zoom I work on many areas of performance, but recently I've had a lot of demand to talk about BPF.
Google and Amazon’s latest AI chips have arrived," [link] , Oct 2022 [Intel 22] Intel, "Intel® Developer Cloud," [link] , accessed Dec 2022 I've taken care to cite the author names along with the talk titles and dates, including for Internet sources, instead of the common practice of just listing URLs.
I work at Google, making Chrome, for Windows, focused on performance. Aside: I just want to say thank you to 2015 me for asking Microsoft to improve their thread naming mechanisms, and thank you to Microsoft for doing everything I suggested – thread names in WPA are great ! Well that’s funny …. The problem suddenly became clearer.
JavaScript-Heavy # Since at least 2015, building JavaScript-first websites has been a predictably terrible idea, yet most of the sites I trace on a daily basis remain mired in script. [1] decoding="async" loading="lazy" /> Google spent more on the SoC for the Pixel 4a and enjoyed a later launch date, boosting performance relative to the A51.
HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. Image Processing Unit (IPU) is the Pixel Visual Core designed by Google and integrated in Google Pixel 2 released in 2017. Compared with Google Pixel 1, the HDR photography is accelerated by 5x and the power efficiency increased by 10x.
Devices and networks have evolved too: Alex Russell @slightlylate An update on mobile CPUs and the Performance Inequality Gap: Mid-tier Android devices (~$300) now get the single-core performance of a 2014 iPhone and the multi-core perf of a 2015 iPhone. Hardware Past As Performance Prologue. Mind The Gap.
Assets Optimizations Brotli, AVIF, WebP, responsive images, AV1, adaptive media loding, video compression, web fonts, Google fonts. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). For each of them, Google recommends a range of acceptable speed goals.
Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Note : as TCP generally under-utilizes network connection by a significant amount, Google has developed TCP Bottleneck Bandwidth and RRT ( BBR ), a relatively new TCP delay-controlled TCP flow control algorithm.
On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). In fact, Google’s Alex Russels recommends to aim for 130–170KB gzipped as a reasonable upper boundary, and exceeding this budget should be an informed and deliberate decision.
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