Web: https://www.youtube.com/watch?v=p7w1aFKDAkU

June 16, 2022, 2:28 p.m. | Machine Learning Street Talk

Machine Learning Street Talk youtube.com

Vitaliy Chiley is a Machine Learning Research Engineer at the next-generation computing hardware company Cerebras Systems. We spoke about how DL workloads including sparse workloads can run faster on Cerebras hardware.

Pod: https://anchor.fm/machinelearningstreettalk/episodes/77---Vitaliy-Chiley-Cerebras-e1k1hvu

[00:00:00] Housekeeping
[00:01:08] Preamble
[00:01:50] Vitaliy Chiley Introduction
[00:03:11] Cerebrus architecture
[00:08:12] Memory management and FLOP utilisation
[00:18:01] Centralised vs decentralised compute architecture
[00:21:12] Sparsity
[00:23:47] Does Sparse NN imply Heterogeneous compute?
[00:29:21] Cost of distributed memory stores?
[00:31:01] Activation vs weight sparsity
[00:37:52] What constitutes a …

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