Chapter
Understanding GPU Programming
53:29 - 1:00:02 (06:33)
The speaker explains how running a GPU program on each pixel allows for complex graphics processing, with each group of pixels running a simple program. As technology has advanced, more transistors have allowed for greater complexity.
Clips
Tesla is working on measuring the current coming out of their batteries through the use of a computer with sensors, rather than a traditional resistor, which presents technological obstacles but is currently being worked on.
53:29 - 56:16 (02:47)
Summary
Tesla is working on measuring the current coming out of their batteries through the use of a computer with sensors, rather than a traditional resistor, which presents technological obstacles but is currently being worked on.
ChapterUnderstanding GPU Programming
Episode#162 – Jim Keller: The Future of Computing, AI, Life, and Consciousness
PodcastLex Fridman Podcast
This podcast explains how modern GPUs work with pixel data, running simple programs on each group of pixels in order to produce the final image on the screen.
56:16 - 57:57 (01:40)
Summary
This podcast explains how modern GPUs work with pixel data, running simple programs on each group of pixels in order to produce the final image on the screen.
ChapterUnderstanding GPU Programming
Episode#162 – Jim Keller: The Future of Computing, AI, Life, and Consciousness
PodcastLex Fridman Podcast
The fundamental elements in graphs involve spatially oriented concepts such as matrix multiplication, convolution, data manipulation, and data movement.
57:57 - 1:00:02 (02:05)
Summary
The fundamental elements in graphs involve spatially oriented concepts such as matrix multiplication, convolution, data manipulation, and data movement. These elements allow for computation of large amounts of data by sending resulting computations to other pieces of data within the graph.