


New breakthrough in Tsinghua Optoelectronics computing: chip performance increased by 10,000 times, research reaches the top Nature
The Tsinghua University team has made new breakthroughs in the field of ultra-high-performance computing chips, and related research has been published in Nature.
The content that needs to be rewritten is: Figure 1 Related papers (Source: "Nature")
Chen, Y. et al. All-analog photoelectronic chip for high-speed vision tasks. Nature https://doi.org/10.1038/s41586-023-06558-8 (2023) .
The first is how to integrate large-scale computing units (controllable neurons) on one chip and constrain the accumulation of errors; The second is to achieve high-speed and efficient on-chip nonlinearity; The third is to be compatible with the current information society dominated by electronic signals, how to provide optical computing and electronic signal computing efficient interface. The current common analog-to-digital conversion power consumption is many orders of magnitude higher than the multiplication and addition operations of each step of optical computing, which masks the performance advantages of optical computing itself, making it difficult for optical chips to demonstrate their superiority in practical applications.
## Under actual measurement performance, the system-level computing power of ACCEL chips has reached thousands of times that of existing high-performance chips. At the same time, the system-level energy efficiency reaches 74.8 Peta-OPS/W, which is an improvement of two thousand to millions of times compared with the existing high-performance GPU, TPU, optical computing and analog electrical computing architecture.
##Direct calculation of incoherent light
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