Describes what acceleration is in physics, how to calculate acceleration and how to determine if an object is speeding up, slowing down or moving at a constant velocity based on the direction of it velocity and acceleration vectors You can see a listing of all my videos at my website, http
From playlist Motion Graphs; Position and Velocity vs. Time
Show Me Some Science! Speed Of Sound
Sound is a wave which travels through the air at about 330 m/s. The Little Shop of Physics Crew dances to the music together. When spread out along the track, it takes about a third of a second for the sound to travel from the first person to the last. The crew is blindfolded, so there are
From playlist Show Me Some Science!
Watch more videos on http://www.brightstorm.com/science/physics SUBSCRIBE FOR All OUR VIDEOS! https://www.youtube.com/subscription_center?add_user=brightstorm2 VISIT BRIGHTSTORM.com FOR TONS OF VIDEO TUTORIALS AND OTHER FEATURES! http://www.brightstorm.com/ LET'S CONNECT! Facebook ► htt
From playlist Physics
Lec 13 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
Lecture 13: Parallelism and Performance Instructor: Charles Leiserson View the complete course: http://ocw.mit.edu/6-172F10 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.172 Performance Engineering of Software Systems
Lec 15 | MIT 6.189 Multicore Programming Primer, IAP 2007
Lecture 15: Cilk (Courtesy of Bradley Kuszmaul and Charles Leiserson. Used with permission.) License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu Subtitles are provided through the generous assistance of Rohan Pai.
From playlist MIT 6.189 Multicore Programming Primer, January (IAP) 2007
21.2.3 Thread-level Parallelism
MIT 6.004 Computation Structures, Spring 2017 Instructor: Chris Terman View the complete course: https://ocw.mit.edu/6-004S17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62WVs95MNq3dQBqY2vGOtQ2 21.2.3 Thread-level Parallelism License: Creative Commons BY-NC-SA More
From playlist MIT 6.004 Computation Structures, Spring 2017
Lecture 15 | Efficient Methods and Hardware for Deep Learning
In Lecture 15, guest lecturer Song Han discusses algorithms and specialized hardware that can be used to accelerate training and inference of deep learning workloads. We discuss pruning, weight sharing, quantization, and other techniques for accelerating inference, as well as parallelizati
From playlist Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017)
Lec 22 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005
Lecture 22: Advanced Topics View the complete course at: http://ocw.mit.edu/6-046JF05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503),
Lec 5 | MIT 6.189 Multicore Programming Primer, IAP 2007
Lecture 5: Parallel programming concepts License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu Subtitles are provided through the generous assistance of Rohan Pai.
From playlist MIT 6.189 Multicore Programming Primer, January (IAP) 2007
Speedrunning - Games Done Quick and Developer Tips - Extra Credits
A passionate community has grown around speedrunning, when players try to find the fastest possible way to complete a run. Different types of speedrun may require the player to beat the entire game or allow them to take shortcuts enabled by glitches. Game developers may want to attract an
From playlist Extra Credits: Game Design
A 1,000,000,000 Particle Simulation! 🌊
❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers 📝 The paper "A Fast Unsmoothed Aggregation Algebraic Multigrid Framework for the Large-Scale Simulation of Incompressible Flow" is available here: http://computationalsciences.org/publications/shao-2
From playlist Two Minute Papers
NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Graphlab 2...
Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Graphlab 2: The Challenges of Large Scale Computation on Natural Graphs by Carlos Guestrin Carlos Guestrin is an Assistant Professor at Carnegie Mellon's Computer Science and Machine
From playlist NIPS 2011 Big Learning: Algorithms, System & Tools Workshop
Year 10 Science Physics Motion and Energy Acceleration
From playlist 10 - Physics
SIMD and Vectorization: Parallelism in C++ #1/3 (multitasking on single core)
Computer programs can be made faster by making them do many things simultaneously. Let’s study three categorical ways to accomplish that in GCC. In the first episode, we explore various alternative approaches to SIMD: Single Instruction, Multiple Data. As a plot device in this tool-assist
From playlist Programming
Ewin Tang - On quantum linear algebra for machine learning - IPAM at UCLA
Recorded 25 January 2022. Ewin Tang of the University of Washington presents "On quantum linear algebra for machine learning" at IPAM's Quantum Numerical Linear Algebra Workshop. Abstract: We will discuss quantum singular value transformation (QSVT), a simple unifying framework for quantum
From playlist Quantum Numerical Linear Algebra - Jan. 24 - 27, 2022
Accelerated motion and oscillation!
In this video i demonstrate accelerated motion with interface. I show the graphs of simple accelerating motion and simple harmonic motion with force and motion sensor!
From playlist MECHANICS