Best Resources for Learning CUDA Matrix Multiplication Optimization
An honest roundup of the resources I actually recommend for...
Teaching Machine to be Smart
Abhik Sarkar is an experienced Python Machine Learning Engineer with over eight years of expertise in scalable, intelligent solutions. He currently leads the Machine Learning department at a high-growth startup specializing in computer vision technologies for safety and security.
Articles
C++ Build Pipeline: Compilation vs Linking vs Loading Explained
How the three stages of the C++ build pipeline —...
H.264 vs H.265 vs AV1: Comparing Modern Video Codecs
How H.264 (AVC), H.265 (HEVC), and AV1 compare on compression...
CUDA Matrix Multiplication Optimization: From Naive to Near-cuBLAS
Step-by-step CUDA matrix multiplication optimization with 9 interactive visualizations. From...
Work
- Company
- Cloudastructure Inc
- Role
- Director, Machine Learning
- Date
- Company
- Quantiphi Inc
- Role
- Machine Learning Engineer
- Date
- Company
- Deloitte
- Role
- Business Technology Analyst
- Date
Bookmarks
Resources I find valuable and recommend to anyone interested in ML and engineering.
BRRR: A faster Python
Horace He
The Unreasonable Effectiveness of Transformer Models
Andrej Karpathy
Transformers from Scratch
Brandon Rohrer