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FPGA based efficient on-chip memory for image processing algorithms

机译:基于FPGA的高效片上存储器,用于图像处理算法

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In Field Programmable Gate Array (FPGA) efficient utilization of on-chip Static Random Access Memory (SRAM) is extremely important for most applications especially for image processing. True Dual Port (TDP) SRAM and Single Port (SP) SRAM are typically available SRAMs for image processing algorithms. But in case of data access policy changes, the memories need to be redesigned. Hence on-chip memory architecture capable of scanning the data in different ways without redesigning is required. In the proposed sub-bank Dual Port (DP) memory architecture, SP SRAM has been modified to function as a TDP SRAM, with high throughput and less power consumption. It also provides higher level of abstraction suitable for image processing algorithms with the help of two-port memory control unit, clock and address generators. The proposed sub-bank memory architecture and its system is implemented and verified for Lapped Biorthogonal Transform based Low complexity Zerotree Codec (LBT-LZC), an image coding algorithm. By considering the significant factors such as resource utilization, time and power, the proposed system outperforms TDP SRAMs.
机译:在现场可编程门阵列(FPGA)中,片上静态随机存取存储器(SRAM)的有效利用对于大多数应用特别是图像处理极为重要。真正的双端口(TDP)SRAM和单端口(SP)SRAM通常是用于图像处理算法的SRAM。但是,如果数据访问策略发生变化,则需要重新设计存储器。因此,需要能够以不同方式扫描数据而无需重新设计的片上存储器架构。在拟议的子库双端口(DP)存储器体系结构中,SP SRAM已被修改为可作为TDP SRAM使用,具有高吞吐量和更低的功耗。它还借助两端口存储器控制单元,时钟和地址生成器,提供了适合图像处理算法的更高级别的抽象。针对基于重叠双正交变换的低复杂度零树编解码器(LBT-LZC)(一种图像编码算法),对所提出的子库存储体系结构及其系统进行了实现和验证。通过考虑诸如资源利用率,时间和功率等重要因素,拟议的系统优于TDP SRAM。

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