matt_d
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- AI Model Co-Design: Hardware-Friendly LLM Design (developer.nvidia.com)
- Reducing HBM Bottlenecks in JAX-Based LLM Training with Host Offloading (developer.nvidia.com)
- What Every Python Developer Should Know About the CPython ABI (labs.quansight.org)
- A CIRCT (Circuit IR Compilers and Tools) Project Tutorial (samuelcoward.co.uk)
- Lifting Terms: Making Well Scoped Syntax Dumber (philipzucker.com)
- Sheaves in Haskell (tweag.io)
- Formally Verifying AI-Generated GPU Kernels (gimletlabs.ai)
- Occupancy Math on the AMD MI355X GPU (CDNA4): A From-First-Principles Guide (rocm.blogs.amd.com)
- Intelligence Is Free, Now What? Data Systems For, Of, and by Agents (bair.berkeley.edu)
- PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models (supercomputing-system-ai-lab.github.io)
- Ekka: Automated Diagnosis of Silent Errors in LLM Inference (syfi.cs.washington.edu)
- Architecture 2.0: Designing AI-Assisted Loops for Computing Systems (arch2.mlsysbook.ai)
- Beyond Prediction: Tail-Aware Scheduling for LLM Inference (yl3469.github.io)
- Binary Coverage the Wrong Way (redvice.org)
- Empirical Computation: Prompting versus Programming [pdf] (mboehme.github.io)
- Senior SWE-Bench: open-source benchmark that assesses agents as senior engineers (senior-swe-bench.snorkel.ai)