Analysis of parallel algorithms
A Load-Hit-Store, sometimes abbreviated as LHS, is a data dependency in a CPU in which a memory location that has just been the target of a store operation is loaded from. The CPU may then need to wait until the store finishes, so that the correct value can be retrieved. This involves e.g. a L1 cache roundtrip, during which most or all of the pipeline will be stalled, causing a significant decrease in performance. For example, (C/C++): int slow(int *a, int *b){ *a = 5; *b = 7; return *a + *b;} Here, the language rules do not allow the compiler to assume that the pointers a and b refer to different memory locations. Therefore, it cannot, in general, keep the stored values in a register for the final addition (or, in this simple example, precalculate the return value to 12), but instead has to emit code that reloads at least the value from the first memory location, *a. The only realistic alternatives are a test-and-branch to see whether a and b are equal, in which case the correct return value is 14, but this adds significant overhead if the pointers are not equal, and optimizations enabled by function inlining. Now if a call to slow is made with the same address for a and b, there is a data dependency between the memory stores and the memory load(s) in the final statement of slow. Some CPU designs (like general purpose processors for desktop or notebook computers) dedicate a significant amount of die space to complex store-to-load forwarding, which, under suitable circumstances such as native alignment of the operands, can avert having to wait for the cache roundtrip. Other CPUs (e.g. for embedded devices or video game consoles) may use a less elaborate or even minimalistic approach, and rely on the software developer to avoid frequent load-hit-stores in performance-critical code, or remove them during performance optimization. In the minimalistic approach, a store-to-load dependency forces a flush of the store buffers and stalling the pipeline. This ensures that the computation has the correct result, at a high performance cost. (Wikipedia).
Credits go out to the makers of Fast-Track See the webpage at: http://www.thepentest.com/
From playlist Fast-Track
Salesforce Data Loader Tutorial | Salesforce Training Videos | Salesforce Tutorial | Simplilearn
🔥Enroll in our Salesforce Course: https://www.simplilearn.com/salesforce/salesforce-administrator-and-developer-training?utm_campaign=SalesforceDataLoader-pJZinhRunFA&utm_medium=DescriptionFF&utm_source=youtube The Salesforce Data Loader is an easy to use graphical tool that helps you to
From playlist Salesforce Training Videos For Beginners [2022 Updated]
LPIC-2 200.1 Load Averages from uptime, sar, top and w
More videos like this online at http://www.theurbanpenguin.com See the written blog for this: http://theurbanpenguin.com/wp/?p=3345 Here we look at how many tools can provide the same information and understand the Load Averages over the last 1, 5 and 15 minutes ready for the LPIC-2 201 ex
From playlist LPIC-2
I guess this is what happens when you don't put anything up to keep the shopping carts from falling out of the truck.
From playlist Inertia
Loader's number - One number to dwarf them all | MegaFavNumbers
This is my submission to the #MegaFavNumbers playlist. It's a bit unpolished, because I rushed a bit, but otherwise it's come out pretty nice. I wanted to make a lighthearted and funny video, and I hope you enjoy it. CREDITS: https://www.flickr.com/photos/nickkellet/6839330932 Nick Kelle
From playlist MegaFavNumbers
CITRIX : XenApp 6 Calculating the Server Load
More videos like this on http://www.theurbanpenguin.com : Hopefully you will find this a simple demonstration on how the user Server Load Metric effects the reported Server Load, or simply, how you can tune the number of users that connect toyour server before it refuses to accept any mo
From playlist Citrix
Spectrum loader (emulator) - full render
From playlist Speccy stuff
Coding Math: Episode 14 - Collision Detection
This week we look at the basics of collision detection and a few of the simplest, most common methods for achieving it. Support Coding Math: http://patreon.com/codingmath Source Code: http://github.com/bit101/codingmath
From playlist Episodes
[Rust Programming] Learning to make a Roguelike - Day 23
[Recorded on 28 October, 2021] I've been playing Roguelikes for many years, and I've always thought about making one! Combine that with a desire to learn Rust, and we've got a match made in heaven. This session was recorded live from twitch on 28 October. I'm using the Roguelike Tutorial
From playlist [Rust Programming] Writing Roguelike using RLTK
Code & Transcript Here : http://goo.gl/adUwyw Support me on Patreon : https://www.patreon.com/derekbanas In this part I continue where I left off in the first part of my Assembly Language tutorial. If you haven't watched it, watch it first. This time I'll cover Logical Operators, Looping
From playlist Assembly Language
Passing the Error Tests Solution Live Code 31 - Introduction to Yew.rs
If you have any feedback please leave them in the comments or let me know on Discord! Course Repo: https://github.com/brooks-builds/full-stack-todo-rust-course Twitch: https://twitch.tv/brookzerker Twitter: https://twitter.com/brooks_patton
From playlist Introduction to Yew.rs Course
Coding Assembly on a 1980s Business Minicomputer
The ‘ol Hawk drive on the new mini Centurion has been giving me all sorts of grief, so it’s time to get a little more methodical in my troubleshooting approach. And one of the steps that I took to get a handle on the drive, was writing a little assembly program to automate some drive opera
From playlist Centurion Minicomputer
Stream archive: Creating a Learning Management System (LMS) with Yew and Rust stream 9 (2023-02-17)
Broadcasted live on Twitch -- Watch live at https://www.twitch.tv/brookzerker
From playlist lms
RubyConf 2018 - Cache is King: Get the Most Bang for Your Buck From Ruby by Molly Struve
RubyConf 2018 - Cache is King: Get the Most Bang for Your Buck From Ruby by Molly Struve Sometimes your fastest queries can cause the most problems. I will take you beyond the slow query optimization and instead zero in on the performance impacts surrounding the quantity of your datastore
From playlist RubyConf 2018
From playlist Getting Started in Cryo-EM
Devops for Developers - Why you want to run your own site, and how by Matthew Kocher
Devops is a buzzword, but in reduction it means putting the people who are responsible for new features in charge of getting them out there. At Pivotal Labs we work with 30 startups at a time, and have seen what works well and what makes developers cringe and slows down progress. I'd like
From playlist MWRC 2012
RubyHack 2019: Cache is King: Get the Most Bang for Your Buck From Ruby by Molly Struve
RubyHack 2019: Cache is King: Get the Most Bang for Your Buck From Ruby by Molly Struve Sometimes your fastest queries can cause the most problems. I'll take you beyond the slow query optimization and instead zero in on the performance impacts surrounding the quantity of your datastore hi
From playlist RubyHack 2019
RailsConf 2019 - Cache is King by Molly Struve
RailsConf 2019 - Cache is King by Molly Struve _______________________________________________________________________________________________ Cloud 66 - Pain Free Rails Deployments Cloud 66 for Rails acts like your in-house DevOps team to build, deploy and maintain your Rails application
From playlist RailsConf 2019
14.2.11 Worked Examples: Cache Benefits
MIT 6.004 Computation Structures, Spring 2017 Instructor: Silvina Hanono View the complete course: https://ocw.mit.edu/6-004S17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62WVs95MNq3dQBqY2vGOtQ2 14.2.11 Worked Examples: Cache Benefits License: Creative Commons BY-
From playlist MIT 6.004 Computation Structures, Spring 2017