EfficientML.ai Lecture 19 - Distributed Training Part 1 (MIT 6.5940, Fall 2024)

  Рет қаралды 1,042

MIT HAN Lab

MIT HAN Lab

Күн бұрын

EfficientML.ai Lecture 19 - Distributed Training Part 1 (MIT 6.5940, Fall 2024)
Lecture 19: Distributed Training Part 1
Instructor: Prof. Song Han
Slides: efficientml.ai
Outline:
Background and motivation
Parallelization methods for distributed training
Data parallelism
Communication primitives
Reducing memory in data parallelism: ZeRO-1 / 2/ 3 and FSDP
Pipeline parallelism
Tensor parallelism
Sequence parallelism

Пікірлер
СИНИЙ ИНЕЙ УЖЕ ВЫШЕЛ!❄️
01:01
DO$HIK
Рет қаралды 3,3 МЛН
1% vs 100% #beatbox #tiktok
01:10
BeatboxJCOP
Рет қаралды 67 МЛН
Что-что Мурсдей говорит? 💭 #симбочка #симба #мурсдей
00:19
Crafting Qubits: Harnessing Quantum Mechanics for Computation
41:16
World Science Festival
Рет қаралды 63 М.
Geoffrey Hinton | Will digital intelligence replace biological intelligence?
1:58:38
Schwartz Reisman Institute
Рет қаралды 178 М.
Visualizing transformers and attention | Talk for TNG Big Tech Day '24
57:45
The Turing Lectures: The future of generative AI
1:37:37
The Alan Turing Institute
Рет қаралды 637 М.
20. Savings
1:14:29
MIT OpenCourseWare
Рет қаралды 1,1 МЛН
Daniel Everett, "Homo Erectus and the Invention of Human Language"
1:10:43
Harvard Science Book Talks and Research Lectures
Рет қаралды 578 М.
AI: Grappling with a New Kind of Intelligence
1:55:51
World Science Festival
Рет қаралды 809 М.
СИНИЙ ИНЕЙ УЖЕ ВЫШЕЛ!❄️
01:01
DO$HIK
Рет қаралды 3,3 МЛН