Загрузка видео...

Не удалось загрузить видео

На главную

Rewritten the Eularian fluid sim (which uses Gauss-Seidel method) with OpenCL. Now it runs much faster (it can run over 200k points with less stress)👌 Prototyping in VEX and reimplement the code with OpenCL made sense to me. #Houdini

14,948 просмотров • 1 год назад •via X (Twitter)

Комментарии: 3

Фото профиля James GardnerP
James GardnerP1 год назад

Would love some training vids or a live about going from vex to opencl! 🙏😁

Фото профиля Alai
Alai1 год назад

opencl tutorial please!

Фото профиля Farmfield
Farmfield1 год назад

Crazy cool. This is why I hate when people say I'm a #Houdini wizard, I look at stuff like yours and I feel like I'm in Houdini kindergarten. 😆

Похожие видео

QVAC SDK 0.14.0 is live. This release makes the on-device stack faster on mobile, ships the developer-agent path, and takes local text-to-speech to 31 languages. Main highlights: - OpenCode and OpenClaw. The first official OpenCode plugin, plus a maintained OpenClaw compatibility path, both built on managed mode and qvac serve. Point a coding agent at a local model with far less setup and far fewer surprises. - Brain-computer interface transcription, on the SDK. Take recorded neural signal data and decode it into text, fully on-device, no cloud. Stream it in chunks through a simple API. In 0.14 it runs GPU-accelerated on iOS. - Text to Speech in 31 languages with our Supertonic3 upgrade. VOICE AND SPEECH - Supertonic3 multilingual TTS, 5 languages to 31. - Chatterbox and Supertonic now run on the Android GPU, with lower memory use (especially on iOS), quantized s3gen Chatterbox support, and a fix for Chatterbox occasionally emitting random speech. - Whisper transcription now runs on the iOS GPU. Parakeet runs on the Android GPU, with steadier real-time streaming. VISION AND OCR - VLM multi-tile batching: high-resolution Pan and Scan images are encoded in one pass instead of tile by tile, for faster vision throughput. - OCR on ggml (EasyOCR and DocTR) reaches full speed parity with the onnx path, across Metal, OpenCL, and Vulkan. PLATFORM AND RELIABILITY - Dynamic compute backends on Linux: one build picks the right backend at runtime, and opens the door to ROCm and CUDA support without per-backend builds. - Thinking tokens are kept out of the model context, so reasoning no longer fills the KV cache. SDK 0.14.0 is now leaner and faster to start. Let’s build.

QVAC

23,973,950 просмотров • 1 месяц назад