4.7 • 13K Ratings
🗓️ 13 May 2019
⏱️ 73 minutes
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0:00.0 | The following is a conversation with Chris Latner. |
0:02.6 | Currently, he's a senior director at Google, |
0:05.2 | working on several projects, including CPU, GPU, |
0:08.4 | TPU Accelerators for TensorFlow, Swift for TensorFlow, |
0:12.0 | and all kinds of machine learning compiler magic |
0:14.3 | going on behind the scenes. |
0:16.3 | He's one of the top experts in the world |
0:18.4 | on compiler technologies, which means he deeply understands |
0:22.0 | the intricacies of how hardware and software come together |
0:26.2 | to create efficient code. |
0:27.9 | He created the LLVM compiler infrastructure project |
0:31.4 | and the Clang compiler. |
0:33.4 | He led major engineering efforts at Apple, |
0:36.0 | including the creation of the Swift programming language. |
0:39.0 | He also briefly spent time at Tesla |
0:41.8 | as vice president of autopilot software |
0:44.3 | during the transition from autopilot hardware 1 to hardware 2, |
0:48.0 | when Tesla essentially started from scratch |
0:51.2 | to build an in-house software infrastructure for autopilot. |
0:54.9 | I could have easily talked to Chris for many more hours. |
0:58.0 | Compiling code down across the levels of abstraction |
1:01.2 | is one of the most fundamental and fascinating aspects |
... |
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