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Can Repeating Transformer Layers Help?
Repeating a block adds computation without adding another copy of its weights.
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Recurrent State and Depth: Two ‘new’ LLM Architectures
Notes and hands-on experiments on recurrent-state hybrid attention and recurrent-depth looped Transformers.
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TIRx GEMM - Detailed Technical Notes
Detailed technical notes for the nine-stage TIRx GEMM optimization journey on NVIDIA Blackwell.
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Python Syntax, PTX-Level Control - A GEMM at 98% of cuBLAS on Blackwell
A nine-stage TIRx GEMM optimization journey on NVIDIA B200, reaching 97.9% of cuBLAS throughput.
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CUDA foundation
Notes on CUDA hardware, memory architecture, coalescing, shared memory, atomics, warps, streams, and error checking.