RAAIS 2017 - Simon Knowles, Co-Founder and CTO of Graphcore
Why Hacker News recommends it
HN points to it as a technical talk from a chip designer on why AI hardware should put memory close to compute and use async data transfers.
What it is
Simon Knowles, co-founder and CTO of Graphcore, talks about "intelligence processors", chips designed specifically for machine learning. The talk was given at the RAAIS 2017 summit and covers Graphcore's architecture.
Recommended by 3 HN commenters across 3 different months, 2017 to 2018.
What Hacker News said
Recommends visarga · 2017-07 · on “Neuromorphic Computing with Nanoscale Spintronic Oscillators”
Interesting approach, but very far off. I prefer GraphCore as a promising new lead in AI hardware. Moving computation close in with memory, and making data transfers async will speed up DL. [this video]
Recommends midko · 2017-11 · on “Intel to Develop Discrete GPUs, Hires AMD's Raja Koduri as Chief Architect”
Indeed, and that's why there are a couple of startups working on new chips and why Google has the TPU. Here's a nice technical talk from Graphcore's CTO about that [this video]
Recommends maffydub · 2018-04 · on “The Looming Battle Over AI Chips”
I went to a talk from the CTO of Graphcore ( [LINK] ) on Monday. They are designing chips targeted at machine learning. As I understood it, their architecture comprises - lots of "tiles" - small processing cores with collocated memory (essentially DSPs) - very high bandwidth (90TB/s!) switching fabric to move data between tiles - "Bulk Synchronous Parallel" operation, meaning that the tiles do their work and then the switching fabric moves the data, and then we repeat. The key challenge he pointed to was power - both in terms of getting energy in (modern CPUs/GPUs take similar current to your car starter motor!) and also getting the heat out. Logic gates take a lot more power than RAM, so he