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Jim Keller - Moore's Law in the age of AI Chips

Matroid · 33.4K views · 2020-04-20 · 31:06

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Overview

Jim Keller's talk at the 2020 Scaled Machine Learning conference on Moore's Law in the age of AI chips. He compares scalar, vector and GPU-style parallel approaches to computation.

On Hacker News

Cited in hardware threads as a Keller talk on the different ways of doing parallel processing.

Recommended by 1 HN people across 1 months · HN mentions 2020–2020

Topics

Computer architecture & CPUsMachine learning & deep learningTech pioneers & interviews
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jim kellermoore's lawparallel processingvector processingai accelerators

What people said

tails4e · 2020-07 · Recommendation

Jim Keller had an interesting talk recently [1] about ways of doing parallel processing to better us the billions of transistors we have - assuming the task is parallelizable. There's the scalar core (i.e the basic CPU) which is easy to program realtively. Then a scalar core with vector instructions - difficult to program efficiently. Then there are arrays of scalar cores, i.e. GPUs, so relatively easy to program again, and now a lot of startups with arrays of scalar cores each with vector engines, so expected to be most difficult to program. He didn't go into why vector instructions are hard to use efficiently, and hard for compiler writers, but I'd be interested if anyone here could explain that. 1. [VIDEO]

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metrognome · 2020-12 · Reference

The pattern of holes technique in that link (MURA) is also used in UV lithography for IC fabrication (example: [VIDEO] ).

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CalChris · 2020-06 · Reference

Jim Keller giving a talk on Moore's Law at Berkeley, [LINK] And another [VIDEO] And another [LINK] DEC, PA Semi, Apple, AMD, Tesla, Intel. He's been everywhere. [LINK] The internal announcement memo: [LINK]

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Sources

Video by Matroid, played through YouTube.

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