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University / Lab · Works with Noiz AI, Tsinghua University

The Hong Kong University of Science and Technology

香港科技大学


Coverage2

Research result · Oct 1, 2026

HKUST proposes AccelEval, a benchmark for whether LLMs can automatically accelerate CPU programs into faster end-to-end GPU implementations, accepted at NeurIPS 2026

A team at The Hong Kong University of Science and Technology has proposed AccelEval, a benchmark accepted at NeurIPS 2026 for testing whether large language models can turn correct CPU reference programs into end-to-end faster GPU implementations. It spans 42 tasks across high-performance computing, scientific simulation, graph algorithms, spatiotemporal algorithms, financial computing, and operations research, each at three input scales, and catalogs 43 categories of CUDA optimization strategies for transfer analysis.

In one-pass generation tests on NVIDIA H200, with RTX 4090 cross-hardware checks across eight models, Gemini 3.1 Pro reached a 71.2x geometric mean speedup on medium-scale tasks that passed correctness validation. Code is open source.

Original sources (Chinese)

NeurIPS'26 | 港科大:从CPU到GPU,AI能否真正加速全流程?aiera

Release · Aug 17, 2026 · as partner

Noiz AI Releases HelixWorld 1.0, a Real-Time Interactive Audio-Visual World Model

Noiz AI, with The Hong Kong University of Science and Technology, Tsinghua University, Carnegie Mellon University, and Google DeepMind, has released HelixWorld 1.0, a real-time interactive audio-visual world model. It generates 24 FPS video and 48 kHz stereo audio together through a native Transformer, supporting interactive world exploration rather than fixed clips. Model weights and code are to be fully open-sourced in the coming weeks, according to the release.

Original sources (Chinese)

终于!世界模型进入“有声时代”:24FPS画面+48kHz立体声实时生成qbitai