- When is GPU processing slower than CPU processing? http://en.wikipedia.org/wiki/General-purpose_computing_on_graphics_processing_units 9 comments learnprogramming
Linking pages
- Time-lock encryption · Gwern.net http://www.gwern.net/Self-decrypting%20files?2= 101 comments
- Beyond CUDA: GPU Accelerated Python for Machine Learning on Cross-Vendor Graphics Cards Made Simple | by Alejandro Saucedo | Towards Data Science https://towardsdatascience.com/beyond-cuda-gpu-accelerated-python-for-machine-learning-in-cross-vendor-graphics-cards-made-simple-6cc828a45cc3 80 comments
- Hardware Acceleration | Jellyfin https://jellyfin.org/docs/general/administration/hardware-acceleration.html 80 comments
- Time-lock encryption · Gwern.net https://www.gwern.net/Self-decrypting-files 45 comments
- Time-lock encryption · Gwern.net http://www.gwern.net/self-decrypting%20files 37 comments
- crepererum - Linux On Desktop In 2023 https://crepererum.net/linux-2023/ 29 comments
- Parallelizing GPU-intensive Workloads via Multi-Queue Operations using Kompute & Vulkan | by Alejandro Saucedo | Towards Data Science https://towardsdatascience.com/parallelizing-heavy-gpu-workloads-via-multi-queue-operations-50a38b15a1dc 25 comments
- Making Generative Art with Rust - by Josh Kuhn https://blog.abor.dev/p/making-generative-art-with-rust 14 comments
- Introduction to compute shaders | Anteru's Blog https://anteru.net/blog/2018/intro-to-compute-shaders/index.html 12 comments
- WebGL 2 lands in Firefox - Mozilla Hacks - the Web developer blog https://hacks.mozilla.org/2017/01/webgl-2-lands-in-firefox/ 10 comments
- GitHub - fenomas/glsl-projectron: WebGL demo to evolve data that projects into a given target image https://github.com/andyhall/glsl-projectron 9 comments
- Making Generative Art with Rust - by Josh Kuhn https://blog.abor.dev/p/making-generative-art-with-rust?r=jx6d6 7 comments
- GitHub - adalkiran/llama-nuts-and-bolts: A holistic way of understanding how Llama and its components run in practice, with code and detailed documentation. https://github.com/adalkiran/llama-nuts-and-bolts 5 comments
- Deep Learning Tutorial: Perceptrons to Machine Learning Algorithms | Toptal https://www.toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks 4 comments
- GitHub - jasonwebb/morphogenesis-resources: Comprehensive list of resources on the topic of digital morphogenesis (the creation of form through code). Includes links to major articles, code repos, creative projects, books, software, and more. https://github.com/jasonwebb/morphogenesis-resources 2 comments
- WebGPU - What is it and why does it matter? https://davistreybig.substack.com/p/webgpu-what-is-it-and-why-does-it 2 comments
- Backpropaganda: anti-rational neuro-mythology | Better without AI https://betterwithout.ai/backpropaganda 1 comment
- Concurrency with Python: Hardware-Based Parallelism > Ying Wang https://bytes.yingw787.com/posts/2019/02/16/concurrency_with_python_hardware_based_parallelism/ 0 comments
- Towards Geometric Deep Learning III: First Geometric Architectures | by Michael Bronstein | Towards Data Science https://towardsdatascience.com/towards-geometric-deep-learning-iii-first-geometric-architectures-d1578f4ade1f 0 comments
- Reading List for F# Learning – Jorge Tavares Notes http://jorgetavares.com/2015/01/01/reading-list-for-f-learning/ 0 comments
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