What Compilers Can and Cannot Do

Tao B. Schardl · 1:18:46

This foundational lecture establishes how compilers translate code and the inherent limitations, setting the stage for understanding how hardware design must accommodate software.

A Practical Guide to Data-Oriented Design

Andrew Kelley · 46:40

Building on compiler understanding, this lecture demonstrates how data-oriented design principles directly impact memory footprint and execution speed, crucial for efficient hardware utilization.

Cache-Oblivious Algorithms

Julian Shun · 1:21:47

With a grasp of data layout, this step introduces cache-oblivious algorithms, illustrating how to design software that performs well across different memory hierarchies without explicit tuning.

Sirius: A GPU-Native SQL Engine

Xiangyao Yu · 1:07:27

Leveraging knowledge of processor optimizations and memory, this lecture explores GPU-native SQL engines, showcasing how specialized architectures handle massive parallel data processing.

Mojo: Modular's Unified Device Accelerator Language

Chris Lattner · 2:13:36

Finally, this step examines Mojo, a language designed for AI hardware, integrating concepts of compilers, data layout, and specialized accelerators for cutting-edge computational demands.