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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2508.13158 |
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| _version_ | 1866913996457639936 |
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| author | Liu, Yongxiang Ma, Yuchun Kurshan, Eren Reinman, Glenn Cong, Jason |
| author_facet | Liu, Yongxiang Ma, Yuchun Kurshan, Eren Reinman, Glenn Cong, Jason |
| contents | Most previous 3D IC research focused on stacking traditional 2D silicon layers, so the interconnect reduction is limited to inter-block delays. In this paper, we propose techniques that enable efficient exploration of the 3D design space where each logical block can span more than one silicon layers. Although further power and performance improvement is achievable through fine grain 3D integration, the necessary modeling and tool infrastructure has been mostly missing. We develop a cube packing engine which can simultaneously optimize physical and architectural design for effective utilization of 3D in terms of performance, area and temperature. Our experimental results using a design driver show 36% performance improvement (in BIPS) over 2D and 14% over 3D with single layer blocks. Additionally multi-layer blocks can provide up to 30% reduction in power dissipation compared to the single-layer alternatives. Peak temperature of the design is kept within limits as a result of thermal-aware floorplanning and thermal via insertion techniques. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_13158 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Fine Grain 3D Integration for Microarchitecture Design Through Cube Packing Exploration Liu, Yongxiang Ma, Yuchun Kurshan, Eren Reinman, Glenn Cong, Jason Hardware Architecture Emerging Technologies Most previous 3D IC research focused on stacking traditional 2D silicon layers, so the interconnect reduction is limited to inter-block delays. In this paper, we propose techniques that enable efficient exploration of the 3D design space where each logical block can span more than one silicon layers. Although further power and performance improvement is achievable through fine grain 3D integration, the necessary modeling and tool infrastructure has been mostly missing. We develop a cube packing engine which can simultaneously optimize physical and architectural design for effective utilization of 3D in terms of performance, area and temperature. Our experimental results using a design driver show 36% performance improvement (in BIPS) over 2D and 14% over 3D with single layer blocks. Additionally multi-layer blocks can provide up to 30% reduction in power dissipation compared to the single-layer alternatives. Peak temperature of the design is kept within limits as a result of thermal-aware floorplanning and thermal via insertion techniques. |
| title | Fine Grain 3D Integration for Microarchitecture Design Through Cube Packing Exploration |
| topic | Hardware Architecture Emerging Technologies |
| url | https://arxiv.org/abs/2508.13158 |