FPGA accelerating double/quad-double high precision floating-point applications for ExaScale computing
Yong Dou, Yuanwu Lei, Guiming Wu, Song Guo, Jie Zhou, Li Shen · 2010
In this paper we explore the capability and flexibility of FPGA solutions in a sense to accelerate scientific computing applications which require very high precision arithmetic, based on 128-bit or even 256-bit floating-point number representation.