Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
Introduction
00:00 • 4min
Is C++ the Top Choice at Google?
04:24 • 2min
What Is a SWE Year?
06:22 • 4min
Why You Shouldn't Use Java or Go?
09:53 • 2min
Pro Both Is the Equivalent of JSON, Right?
11:24 • 2min
I O Binding - What's the Relationship?
13:27 • 2min
How Much Performance Difference Can There Be Between Different Languages?
15:56 • 4min
Go and Rust - What's the Difference?
19:44 • 2min
Is Russ a Good Programming Language?
22:05 • 2min
Is There a Breakdown of Python at Google?
24:18 • 2min
Compilers for Machine Learning
26:31 • 3min
JavaScript
29:07 • 2min
Compiler Languages - What Are the Top 3 Things That Have Made a Significant Difference?
31:03 • 2min
Is LLVM Really a Machine Learning Compiler?
33:18 • 2min
The Third Big Optimization Is Linking
35:24 • 3min
Why Isn't There More Interest in Linking?
38:25 • 3min
Is There a Linker to the Power of 20?
41:00 • 2min
The Final Step Is Super Minimal, but We're Not the Only One
42:39 • 2min
The Multiplier Effect Is Almost Unrealistic
44:23 • 2min
Performance Matters
46:10 • 2min
Google Scale
48:14 • 3min