InFO_SoW (System-on-Wafer) for High Performance Computing

Chun, Shu-Rong; Kuo, Tin-Hao; Tsai, Hao-Yi; Liu, Chung-Shi; Wang, Chuei-Tang; Hsieh, Jeng-Shien; Lin, Tsung-Shu; Ku, Terry; Yu, Douglas

doi:10.1109/ectc32862.2020.00013

Cited by 21 publications

(2 citation statements)

References 6 publications

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“…Žå-Ý •IþäkãOE nÜ`³. È>32020cJÑ InFO SoW £Integrated Fan-Out of System-on-Wafer¤ Eâ´‚ [74] , Teslaae^TEâ´‚íÑ ¬ ? ¡ ¬Dojo [75] .Tesla3˜¡12=€¬ þÜÝ 25¡D1 ¡,z¬ ¡OEé Jø4TB/s êâ'°, ‡¬ é êâ'°OEˆ36TB/s,ùƒ'uNVIDIA•# GPU ¡H100 ¡ êâ'°900GB/sJ , 40 ; 3Žå-Ý ¡,ò120 ‡¬ ?…”

Section: 35unclassified

从SoC到SDSoW：微电子发展的新范式

Wu,

Liu,

Shen

et al. 2024

Sci. Sin.-Inf.

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Section: 35unclassified

从SoC到SDSoW：微电子发展的新范式

Wu,

Liu,

Shen

et al. 2024

Sci. Sin.-Inf.

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“…The lower roughness and smaller line spacing for the Chiplet connection can be achieved by InFO_SoW technology. The bandwidth density and power distribution network (PDN) impedance are 2× and 30% more than flip-chip multi-chip-module (MCM) interconnection, and interconnection power consumption is reduced by 15% [23], as shown in Figure 3c. In Agilex series FPGAs, the core Chiplet and other Chiplets were interconnected using Embedded Multidie Interconnect Bridge (EMIB).…”

Section: Computing Architecture Integrated With 25d Technologymentioning

confidence: 99%

Architecture of Computing System based on Chiplet

et al. 2022

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Computing systems are widely used in medical diagnosis, climate prediction, autonomous vehicles, etc. As the key part of electronics, the performance of computing systems is crucial in the intellectualization of the equipment. The conflict between performance, efficiency, and cost can be solved by choosing an appropriate computing system architecture. In order to provide useful advice and instructions for the designers to fabricate high-performance computing systems, this paper reviews the Chiplet-based computing system architectures, including computing architecture and memory architecture. Firstly, the computing architecture used for high-performance computing, mobile, and PC is presented and summarized. Secondly, the memory architecture based on mainstream memory and emerging non-volatile memory used for data storing and processing are introduced, and the key parameters of memory are compared and discussed. Finally, this paper is concluded, and the future perspectives of computing system architecture based on Chiplet are presented.

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