A Brief Implementation Analysis of SHA-1 on FPGAs, GPUs and Cell Processors

Recently, there has been much discussion about new advancements in processor technology that promise huge performance returns for a small investment in cryptography. Field programmable gate arrays (FPGAs), cell processors and graphics processor units (GPUs) are all the rage. We investigate the implementation and performance of SHA-1 using them, with the view of comparison their salient features. Our results shows that the implementation on FPGA could achieve the smallest performance-to-price ratio. But it cost lowest energy, had the smallest area and very stable.GUPspsila performance-to-price ratio is biggest. But its power is very big around 400-600 W and less stable. We can get almost of throughput of GPU using cell Processors and used less power than GPU around 135 W. But its price is higher than GPUs.