#cuda-kernels News & Analysis

2 articles tagged with #cuda-kernels. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 77/10

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FASQ: Flexible Accelerated Subspace Quantization for Calibration-Free LLM Compression

Researchers introduce FASQ, a calibration-free compression framework for large language models that uses product quantization to achieve flexible compression ratios between 27-49% of original model size. The method outperforms existing quantization approaches like GPTQ and AWQ while enabling faster inference than FP16 on consumer GPUs through custom CUDA kernels.

🧠 Llama

AIBullisharXiv – CS AI · Apr 137/10

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AlphaLab: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs

AlphaLab is an autonomous research system using frontier LLMs to automate experimental cycles across computational domains. Without human intervention, it explores datasets, validates frameworks, and runs large-scale experiments while accumulating domain knowledge—achieving 4.4x speedups in CUDA optimization, 22% lower validation loss in LLM pretraining, and 23-25% improvements in traffic forecasting.

🧠 GPT-5🧠 Claude🧠 Opus