Hacker News
- A friendly introduction to machine learning compilers and optimizers https://huyenchip.com/2021/09/07/a-friendly-introduction-to-machine-learning-compilers-and-optimizers.html 4 comments
Linking pages
- Modular: AIâs compute fragmentation: what matrix multiplication teaches us https://www.modular.com/blog/ais-compute-fragmentation-what-matrix-multiplication-teaches-us 44 comments
- MLOps guide https://huyenchip.com/mlops/ 3 comments
- Last Week in AI #133: Deepfake cyberattacks, Project Maven updates, AI's geographic concentration in the U.S. https://lastweekin.ai/p/133 0 comments
Linked pages
- GitHub - wasmerio/wasmer: 🚀 The leading WebAssembly Runtime supporting WASI and Emscripten https://github.com/wasmerio/wasmer 233 comments
- Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code | USENIX https://www.usenix.org/conference/atc19/presentation/jangda 205 comments
- As AWS Use Soars, Companies Surprised by Cloud Bills — The Information https://www.theinformation.com/articles/as-aws-use-soars-companies-surprised-by-cloud-bills 161 comments
- Top minds in machine learning predict where AI is going in 2020 | VentureBeat https://venturebeat.com/2020/01/02/top-minds-in-machine-learning-predict-where-ai-is-going-in-2020/ 84 comments
- MLIR https://mlir.llvm.org/ 30 comments
- GitHub - mbasso/awesome-wasm: 😎 Curated list of awesome things regarding WebAssembly (wasm) ecosystem. https://github.com/mbasso/awesome-wasm 25 comments
- The Hardware Lottery https://hardwarelottery.github.io/ 9 comments
- Apple unleashes M1 - Apple https://www.apple.com/newsroom/2020/11/apple-unleashes-m1/ 1 comment
- Compiling Machine Learning to WASM and WebGPU with Apache TVM https://tvm.apache.org/2020/05/14/compiling-machine-learning-to-webassembly-and-webgpu 0 comments
- TensorRT SDK | NVIDIA Developer https://developer.nvidia.com/tensorrt 0 comments
- GitHub - pytorch/glow: Compiler for Neural Network hardware accelerators https://github.com/pytorch/glow/ 0 comments
- LLVM - Wikipedia https://en.wikipedia.org/wiki/LLVM 0 comments
- HOW Series “Deep Dive”: Webinars on Performance Optimization – 2017 Edition | Colfax Research http://colfaxresearch.com/how-series/ 0 comments
- [1802.04799] TVM: An Automated End-to-End Optimizing Compiler for Deep Learning https://arxiv.org/abs/1802.04799 0 comments
- Weld: Accelerating Data Science by 100x | Stanford University - YouTube https://youtu.be/JbTqNuCIJM4 0 comments
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