E0 294: Resources
E0 294: Resources
Following are the Resources for the Course
Please go through the following resources for in-depth understanding of the course concepts. Open to ALL :)
NOTE: Lecture Recording will be shared 1 week after the class
Lecture Slides:
(07/01/2025) Introduction.
(16/01/2025) Basics of Deep Neural Networks
(21/01/2025) Convolutional Neural Networks (1)
(23/01/2025) Convolutional Neural Network (2)
(28/01/2025) Examples of Convolutional Neural Network
(30/01/2025) DaDianNao, ShiDianNao and Eyeriss
(04/02/2025) Basics of LLMs
(06/02/2025) Parallelism in LLM Training
(18/02/2025) Extreme Scale Training
(20/02/2025) LLM Inference
(25/02/2025) Checkpointing in ML Training
(27/02/2025) Pruning and Quantization
(04/03/2025) LLM Scheduling
(06/03/2025) Eyeriss, Eyeriss-V2, Introduction to Graph Neural Network
(11/03/2025) GNN Accelerator, Introduction to In-Memory Computing(IMC)
(13/03/2025) ML Accelerators with In-memory Computing
(18/03/2025) Let's Talk Attention
(20/03/2025) Efficient Decoding
(25/03/2025) Multimodality & Quantization
(01/04/2025) ML Accelerators with In-memory Computing (IMC): simulator & communication-aware architecture
(08/04/2025) IMC based accelerators for GNNs and LLMs
Lecture Recordings:
Coming Soon ...
Latex Template for Scribe:
Reference Books:
Reference Books
Research Articles:
Research Article