Performance Exploration and Optimization of SDRAM-Controller Architecture on SDRAM Access
Yu Zhang, Ming Ling, Pu Hanlai, Fan Zhou
Abstract
Yu Zhang, Ming Ling, Pu Hanlai, Fan Zhou
Abstract
The access operation between CPU and off-chip memory, such as SDRAM, is very frequent in embedded system. This being the case, we try to take full advantage of SDRAM by developing a novel SDRAM-controller architecture. The architecture is based on the SDRAM characteristics with full instruction flow analysis. Three techniques are employed for auto adaptive prefetch instruction, overlapping read latency, locality of reference and reduction of row miss mainly aroused by accessing stack data. The results using benchmark programs show that developed architecture reduce the memory latency by 71% on average
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The access operation between CPU and off-chip memory, such as SDRAM, is very frequent in embedded system. This being the case, we try to take full advantage of SDRAM by developing a novel SDRAM-controller architecture. The architecture is based on the SDRAM characteristics with full instruction flow analysis. Three techniques are employed for auto adaptive prefetch instruction, overlapping read latency, locality of reference and reduction of row miss mainly aroused by accessing stack data. The results using benchmark programs show that developed architecture reduce the memory latency by 71% on average
Key concepts: Instruction prefetch, CAS latency, Memory controller, Computer science, Memory bandwidth, Embedded system, Latency (audio), Benchmark (surveying)