Shashank Shekhar
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Atomics Notes
AllGather
AllReduce
AllToAll
Bandwidth
BFloat16 (Brain Floating Point)
Compute-Bound
FLOPs (Floating Point Operations)
FLOPs (Floating Point Operations)
GPU (Graphics Processing Unit)
Memory-Bound
MXU (Matrix Multiply Unit)
Numba
ReduceScatter
Roofline Model
Sharding
Systolic Array
TPU (Tensor Processing Unit)
VMEM (Vector Memory)
CUDA PMPP Book Guide
CUDA PMPP Book Exercise Solutions
Chapter 2 Heterogeneous Data Parallel Computing Exercise Solutions
Chapter 3 Multidimensional Grids and Data Exercise Solutions
Chapter 4 Compute Architecture and Scheduling Exercise Solutions
Chapter 5 Memory Architecture and Data Locality Exercise Solutions
Chapter 6 Performance Considerations Exercise Solutions
Chapter 7 Convolution Exercise Solutions
CUDA PMPP Book Notes
Chapter 1 Introduction Notes
Chapter 2 Heterogeneous Data Parallel Computing Notes
Chapter 3 Multidimensional Grids and Data Notes
Chapter 4 Compute Architecture and Scheduling Notes
Chapter 5 Memory Architecture and Data Locality Notes
Excalidraw
Drawing 2025-03-28 13.46.45.excalidraw
How to Scale Your Model Book Guide
Scaling Book Part 0. Introductions
Scaling Book Part 1. All About Rooflines
Scaling Book Part 1. All About Rooflines Exercises
Scaling Book Part 2. How to Think About TPUs
Scaling Book Part 2. TPU Questions
Scaling Book Part 3 - Sharding Questions
Scaling Book Part 3. Sharded Matrices and How to Multiply Them
Paper Notes
PEFT Review by Xu et al, Dec 2023
Speculative Decoding (DeepMind) by Chen et al 2023
Speculative Decoding (Google Brain) by Leviathan et al 2023
Project Notes
MiniTorch
Reading List
5 Apr, 2025 Readings
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Working-Blogs
CUDAvMetal
Optimizing a Metal Matmul kernel for 5TFLOPs+ performance on my M1 Max
Machine Learning Compilation Course
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