{"slug": "nvidias-cuda-13-4-integration-why-shibaura-institutes-scheme-speeds-up-legacy", "title": "Nvidia’s CUDA 13.4 Integration: Why Shibaura Institute’s Scheme Speeds Up Legacy GPUs", "summary": "NVIDIA has adopted the \"Ozaki Scheme II\" computational method, developed by Professor Katsuhiro Ozaki and his team at Shibaura Institute of Technology, into its CUDA toolkit 13.4, according to EE Times Japan. The scheme combines multiple low-precision AI calculations to achieve double-precision accuracy at higher speeds on existing NVIDIA Ampere-generation GPUs and newer, without requiring additional hardware circuits. The adoption speeds up legacy GPUs for scientific and engineering tasks that demand high numerical accuracy.", "body_md": "East Asian Technology Intelligence\n\nJapan & China tech news — translated, contextualized, and delivered for Western readers.\n\nFree. Unsubscribe anytime.\n\nThis story ran in [Issue #114](https://asiaai.fyi/tsmc-qualcomm-exclusive-2nm-orders/), alongside three other stories.\n\nSemiconductors & Hardware\n\nWhat happened\n\nNVIDIA has adopted the “**Ozaki Scheme II**” computational method, developed by Professor Katsuhiro Ozaki and his team at Shibaura Institute of Technology, into its latest CUDA toolkit 13.4. This new scheme accelerates **double-precision calculations** by combining multiple low-precision AI computations, making existing NVIDIA GPUs from the Ampere generation onwards significantly faster for scientific and engineering tasks without requiring new hardware.\n\nKey details\n\n- NVIDIA’s latest CUDA toolkit 13.4 incorporates “Ozaki Scheme II” from Shibaura Institute of Technology.\n- Ozaki Scheme II combines multiple low-precision AI calculations to achieve double-precision accuracy at significantly higher speeds.\n- The method operates on existing NVIDIA Ampere generation GPUs and newer, without requiring additional hardware circuits.\n\nWhat remains unclear\n\n- What is the performance overhead for Ozaki Scheme II compared to native double-precision calculations?\n- Are there specific scientific domains where Ozaki Scheme II offers a disproportionate advantage?\n- How widely will the CUDA toolkit 13.4 with Ozaki Scheme II be adopted by the broader scientific community compared to the initial Ozaki Scheme I?\n\nSource: EE Times Japan · source published October 2, 2026\n\n📊 Featured Chart\n\nSource: NVIDIA\n\nThe adoption of Ozaki Scheme II leverages GPUs designed primarily for low-precision AI tasks to perform high-precision scientific computing more efficiently. This development enhances the utility of NVIDIA’s existing hardware base for a broader range of applications, particularly in fields requiring high numerical accuracy like scientific simulations and complex engineering. For Western readers, it highlights Japan’s continuing, if sometimes overlooked, contributions to fundamental computational methods in semiconductor design.\n\nFor the wider picture, see [Japan Semiconductor Ecosystem](https://asiaai.fyi/guides/japan-semiconductor-ecosystem/).\n\nThis story appeared in [AsiaAI.FYI Issue #114](https://asiaai.fyi/tsmc-qualcomm-exclusive-2nm-orders/).\n\n\t\tGet this in your inbox each week —\n\t\t[subscribe free](https://asiaaifyi.beehiiv.com/subscribe).", "url": "https://wpnews.pro/news/nvidias-cuda-13-4-integration-why-shibaura-institutes-scheme-speeds-up-legacy", "canonical_source": "https://asiaai.fyi/nvidia-cuda-shibaura-gpu-double-precision/", "published_at": "2026-10-02 09:00:00+00:00", "updated_at": "2026-10-02 14:39:22.579201+00:00", "lang": "en", "topics": ["ai-chips", "ai-infrastructure", "machine-learning"], "entities": ["NVIDIA", "CUDA 13.4", "Ozaki Scheme II", "Katsuhiro Ozaki", "Shibaura Institute of Technology", "EE Times Japan", "Ampere"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/nvidias-cuda-13-4-integration-why-shibaura-institutes-scheme-speeds-up-legacy", "markdown": "https://wpnews.pro/news/nvidias-cuda-13-4-integration-why-shibaura-institutes-scheme-speeds-up-legacy.md", "text": "https://wpnews.pro/news/nvidias-cuda-13-4-integration-why-shibaura-institutes-scheme-speeds-up-legacy.txt", "jsonld": "https://wpnews.pro/news/nvidias-cuda-13-4-integration-why-shibaura-institutes-scheme-speeds-up-legacy.jsonld"}}