.png){kind=icon}
返回
Software-defined process-near-memory architecture using 3D hybrid bonding integration
.png){kind=icon}
PRE
AI
DOI：10.1007/s11432-023-3965-1.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
With the unprecedented explosive growing amount of global data, the development of computing chips, which encounter bottlenecks such as power wall and memory wall, cannot satisfy the demanding requirement. This work proposes a software-defined process-near-memory (SDPNM) computing architecture implemented using 3D hybrid bonding integration. The software-defined chip architecture, featuring spatial computations and dynamic reconfiguration, innovates in a top-down manner to achieve high energy efficiency while maintaining flexibility after fabrication. The process-near-memory integration further advances the SDNPM chip in a bottom-up way to reduce the energy consumption of data movement while improving the bandwidth. Utilizing a relatively mature fabrication and bonding process can result in feasible solutions for both data-intensive and compute-intensive applications including digital signal processing and artificial intelligence. The logic die is fabricated in the SMIC 40 nm process and the DRAM die is fabricated in the PSMC 25 nm process. The hybrid bonding is implemented by XMC. The experimental results show that the energy efficiency of the proposed SDPNM chip is 33.1x better than the state-of-the-art FPGA ranging from 8.2x to 104.1x.
Keyword:
software-defined chips
process near memory
energy efficiency
dynamic reconfiguration
domain specific
期刊
IF:
7.6
论文数:
4.9K
被引数:
8.9K
机构
引用论文
分享收藏Memory devices and applications for in-memory computing用于内存计算的内存设备和应用.png)
NATURE NANOTECHNOLOGY
OAAI
NATURE NANOTECHNOLOGYIF34.9
OAAI分享收藏A Survey of Coarse-Grained Reconfigurable Architecture and Design: Taxonomy, Challenges, and Applications粗粒度可重构体系结构和设计综述: 分类、挑战和应用OAAI
OAAI分享收藏 没有更多内容
没有更多内容