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Improving processor performance pushes designers to look for every possible design alternative. Moreover, the need for embedded processing cores exhibiting low power consumption and reduced EM noise is leading to changes in system design. This trend has suggested the adoption of self-timed systems, whose energy and noise characteristics depend upon the processed data and the processing rate. In this paper, we explore the design space of first-in first-output queues, which are fundamental component in most recent proposals for asynchronous processors. Different strategies have been refined and evaluated using the handshake circuits methodology.
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3First Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangdong Provincial Clinical and Engineering Technology Center of Digital Medicine, Guangzhou, 510280 China
RNA-seq and acRIP-seq data have been deposited in the GEO database (GSE180422, =GSE180422, and GSE180494, =GSE180494). The other data from the authors are available upon reasonable request. RNA-seq data from the TCGA stomach adenocarcinoma (STAD) dataset were downloaded from the Genomic Data Commons (GDC) data portal ( -application-programming-interface-api). Gene expression array data were downloaded from the GEO database ({"type":"entrez-geo","attrs":{"text":"GSE29272","term_id":"29272"}}GSE29272, ={"type":"entrez-geo","attrs":{"text":"GSE29272","term_id":"29272"}}GSE29272, and {"type":"entrez-geo","attrs":{"text":"GSE66229","term_id":"66229"}}GSE66229, ={"type":"entrez-geo","attrs":{"text":"GSE66229","term_id":"66229"}}GSE66229).
Ning Zeng, Yuanbin Song and Yongming Chen supervised and designed the study. Min Deng, Long Zhang, Wenying Zheng, Jiale Chen, Nan Du and Meiqi Li performed the experiments and data analysis. Guangyu Luo performed bioinformatics analysis. Weiqing Chen and Yonghong Huang collected clinical samples. Min Deng and Yuanbin Song wrote the manuscript. All authors read and approved the final manuscript.
This work was supported by the National Natural Science Foundation of China (No. 81972771, 82173062), the Natural Science Foundation of Guangdong Province (No. 2018B0303110015), the Key Areas Project of Education Department of Guangdong Province (No. 2021ZDZX2017), the Medical Science and Technology Foundation of Guangdong Province (No. A2020184), and the Innovation Team Scientific Research Project of Guangzhou Education Bureau of Guangdong Province (No. 202235387). 2b1af7f3a8