The Array Cast

PyTorch and Dex with Adam Paszke

Jul 22, 2023
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Episode notes
1
Introduction
00:00 • 3min
2
How to Properly Pronounce Your Last Name
03:03 • 6min
3
The History of the Python Front End
08:59 • 4min
4
Google's Switch to TensorFlow
12:36 • 2min
5
The Impact of PyTorch on the Machine Learning Community
14:11 • 4min
6
How to Differentiate Low Level Code for GPUs and TPUs
18:24 • 2min
7
The Path to Self-Driving Cars
20:17 • 3min
8
Building a Community for Decking
23:39 • 5min
9
The Evolution of Autograd in PyTorch
28:56 • 4min
10
DEX and MATLAB: A Comparison
32:56 • 3min
11
The Differences Between for Loops and Indicators in DEX
35:58 • 3min
12
The Importance of Type Classes in Code Synthesis
38:50 • 2min
13
Type Classes and Conformability
40:34 • 3min
14
The Benefits of Using Haskell for Compilers
43:37 • 2min
15
The Future of Accelerated Computing
45:39 • 4min
16
The Constraints on Language Design
49:49 • 2min
17
How to Compile Decks in XLA
52:11 • 2min
18
The Popularity of Python
54:37 • 3min
19
Python: The Second Best Language for Everything
57:58 • 4min
20
Python's 2% Jump in Market Share
01:01:32 • 2min
21
The New Wrong in the Abstraction Ladder
01:03:17 • 2min
22
How to Build a Deck Using Haskell
01:05:13 • 2min
23
The Future of Decks
01:07:30 • 2min
24
Adam's Preview of Coming Attractions
01:09:23 • 2min