recentpopularlog in

Performance

« earlier   
Storage Alignment and VMFS Block Sizes |VMware Communities
Note NTFS will hate you for using anything other than 4K for anything other than a dedicated partition for a database. Many backup systems expect 4K, and boot partition usually must be 4K, and NTFS native (deflate) compression (up to 64GB but really 40GB sized files) only works on 4K.
VMware  ESXi  VMFS  VMDK  SAN  windows  NTFS  filesystem  block  alignment  size  matching  performance  storage  sysadmin  tips  tricks 
5 hours ago by asteroza
Do GPU-based Basic Linear Algebra Subprograms (BLAS) improve the performance of standard modeling techniques in R?
"If you are looking for a plug-and-play speed improvement I would still vote for OpenBLAS."
R  performance  blas  openblas  gpu 
9 hours ago by arsyed
WebAssembly's post-MVP future: A cartoon skill tree - Mozilla Hacks - the Web developer blog
People have a misconception about WebAssembly. They think that the WebAssembly that landed in browsers back in 2017—which we called the minimum viable product (or MVP) of WebAssembly—is the final version of WebAssembly.

I can understand where that misconception comes from. The WebAssembly community group is really committed to backwards compatibility. This means that the WebAssembly that you create today will continue working on browsers into the future.

But that doesn’t mean that WebAssembly is feature complete. In fact, that’s far from the case. There are many features that are coming to WebAssembly which will fundamentally alter what you can do with WebAssembly.

I think of these future features kind of like the skill tree in a videogame. We’ve fully filled in the top few of these skills, but there is still this whole skill tree below that we need to fill-in to unlock all of the applications.
webassembly  wasm  trend  performance 
13 hours ago by euler
Response to "Asynchronous Python and Databases"
With a low-latency database your program's raw speed, not its scalability, is your priority. In this case async is not the right answer, at least not in Python: a small thread pool serving low-latency connections is typically faster than an async framework.
python  servers  performance  concurrency 
15 hours ago by HighCharisma
A million requests per second with Python – freeCodeCamp.org
Japronto is a brand new micro-framework tailored for your micro-services needs. Its main goals include being fast, scalable, and lightweight. It lets you do both synchronous and asynchronous programming thanks to asyncio. And it’s shamelessly fast. Even faster than NodeJS and Go.
python  servers  performance 
15 hours ago by HighCharisma
Arrays of Wisdom of the Ancients
Java benchmarking article comparing Collections.toArray() when called with a presized array and a zero length array
Java  Programming  performance  PerformanceTuning 
16 hours ago by not_napoleon
The iPhone 4S – MacStories
We are used to a fall release schedule when it comes to iPhones, but that hasn't always been the case. The first four iPhones came out in the summer, usually after being announced at WWDC.
2011's iPhone 4S changed that for good, and in some ways that phone draws parallels to the new iPhone XS. Both are the second generation of a radical new design, and both boast improved cameras, networking, and battery life. That's not to mention how Siri is at the heart of the iOS version they both ship with.
The S Stands for...Specs?
Officially only the S in the 3GS has ever been defined as speed by Apple, but it certainly could have been true for the 4S as well. The phone featured the A5 processor out of the iPad 2. This chipset included a dual-core processor which ran twice as fast as the single-core processor in the iPhone 4. Onboard was a new Apple-designed ISP for image processing, but the real star was the dual-core GPU that was seven times faster than the one before it.
This made the iPhone 4S noticeably more powerful than its predecessor, as Jason Snell wrote in his review at the time...
iphone  history  performance  chip 
17 hours ago by rgl7194

Copy this bookmark:





to read