Writing High-Performance AI Kernels in Mojo
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Course Details
Language
MojoCategory
Programming
Certificate
YesRequirements
- 1. Strong understanding of Mojo programming fundamentals.
- 2. Knowledge of linear algebra, tensors, and AI/ML concepts.
- 3. Familiarity with concurrency, memory management, and GPU basics.
Content
Reviews
01Introduction to High-Performance AI Kernels
3 Chapters - 0/3 Completed
01
Introduction to High-Performance AI Kernels
3 Chapters - 0/3 Completed
What Are AI Kernels? – Definition, purpose, and use cases in ML.
Importance of Performance Optimization – Why kernel efficiency impacts training and inference.
Overview of Mojo’s Low-Level Capabilities – SIMD, GPU acceleration, and memory management.
02Efficient Tensor Operations
3 Chapters - 0/3 Completed
02
Efficient Tensor Operations
3 Chapters - 0/3 Completed
Understanding Tensor Memory Layouts – Row-major vs column-major, contiguous memory.
Optimizing Basic Tensor Operations – Element-wise operations, broadcasting, and reduction.
Leveraging Mojo Built-in Functions for Speed – Using optimized tensor primitives.
03SIMD and Vectorized Computation
3 Chapters - 0/3 Completed
03
SIMD and Vectorized Computation
3 Chapters - 0/3 Completed
What is SIMD and Why It Matters – Single instruction, multiple data concept.
Writing SIMD-Enabled Functions in Mojo – Practical examples and patterns.
Performance Gains and Benchmarks – Measuring speedups from vectorization.
04GPU Acceleration in Mojo
3 Chapters - 0/3 Completed
04
GPU Acceleration in Mojo
3 Chapters - 0/3 Completed
Introduction to GPU Programming – Basics of GPU architecture and parallelism.
Offloading Tensor Operations to GPU – Syntax, memory transfers, and kernels.
Optimizing GPU Workloads – Minimizing memory bottlenecks and kernel launch overhead.
05Memory and Resource Management
3 Chapters - 0/3 Completed
05
Memory and Resource Management
3 Chapters - 0/3 Completed
Understanding Memory Bottlenecks – CPU vs GPU memory, caching, and reuse.
Manual Memory Optimization – Allocators, freeing memory, and avoiding leaks.
Profiling and Debugging Performance – Tools to analyze execution and memory usage.
06Advanced Kernel Techniques
3 Chapters - 0/3 Completed
06
Advanced Kernel Techniques
3 Chapters - 0/3 Completed