Lecture 111: Spectral Compute: Compile CUDA everywhere @GPUMODE

Lecture 111: Spectral Compute: Compile CUDA everywhere @GPUMODE

Uploaded August 2026 | Updated September 2026, 9 minutes ago

Chris Kitching, CTO at Spectral Compute, explains how SCALE recompiles unmodified CUDA source to native AMD and NVIDIA machine code, and goes deep on the compiler work and vendor-specific optimizations required to make CUDA portable.

scale-lang.com

Lecture 111: Spectral Compute: Compile CUDA everywhere

Lecture 94: tvm-ffi

Lecture 28: Liger Kernel - Efficient Triton Kernels for LLM Training

Formalized Deep Learning Architectures for Automated Low-Level Kernel Optimization

Lecture 6 Optimizing Optimizers

Lecture 23: Tensor Cores

Monarch applied to async RL

Game Arena

Lecture 32: Unsloth

cuTile

Lecture 78 Iris: Multi-GPU Programming in Triton

Lecture 33: Bitblas

Lecture 111: Spectral Compute: Compile CUDA everywhere