The Research of Efficient Dual-Port SRAM Data Exchange without Waiting with FIFO-Based Cache

This paper proposes a program of efficient dual-port SRAM data exchange without waiting with FIFO-based cache, which is targeted for timely, massive and interactive features of data transmission in MIMO systems, using FIFO as a dual-port SRAM external cache to achieve real-time data exchange between multiple systems or processors. The program can solve time conflict and data covering problem in the competitive state of data storage, reduce the transmission delay to wait for data exchange. This paper uses dual-port SRAM CY7C019 to do a simulation test for the program, which can realize effective addressing between memory and CPU in address mapping way. By the analyses to the system performance, the effectiveness and feasibility of this program is proved.

[1]  Shambhu J. Upadhyaya,et al.  Defect Analysis and Defect Tolerant Design of Multi-port SRAMs , 2008, J. Electron. Test..

[2]  H. Fujiwara,et al.  Which is the best dual-port SRAM in 45-nm process technology? — 8T, 10T single end, and 10T differential — , 2008, 2008 IEEE International Conference on Integrated Circuit Design and Technology and Tutorial.

[3]  Jiannong Cao,et al.  Mailbox-Based Scheme for Designing Mobile Agent Communication Protocols , 2002, Computer.

[4]  Hao-I Yang,et al.  A Controllable low-power dual-port embedded SRAM for DSP processor , 2007, 2007 IEEE International Workshop on Memory Technology, Design and Testing.

[5]  Fei Li Fairness Analysis in Competitive FIFO Buffer Management , 2008, 2008 IEEE International Performance, Computing and Communications Conference.

[6]  Yang Ming,et al.  A 16-Port Data Cache for Chip Multi-Processor Architecture , 2007, 2007 8th International Conference on Electronic Measurement and Instruments.

[7]  Xu Xiaofei,et al.  The research on zero-copy receiving method based on communication-page pool , 2003, Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies.

[8]  J. Conan,et al.  Mobile Station Location Estimation for MIMO Communication Systems , 2006, International Symposium on Wireless Communication Systems.

[9]  J.A. Stankovic,et al.  Denial of Service in Sensor Networks , 2002, Computer.