Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
A technique to speed up Montgomery multiplication targeted at the Synergistic Processor Elements (SPE) of the Cell Broadband Engine is proposed. The technique consists of splitting a number into four consecutive parts. These parts are placed one by one in each of the four element positions of a vector, representing columns in a 4-SIMD organization. This representation enables arithmetic to be performed in a 4-SIMD fashion. An implementation of the Montgomery multiplication using this technique is up to 2.47 times faster compared to an unrolled implementation of Montgomery multiplication, which is part of the IBM multi-precision math library, for odd moduli of length 160 to 2048 bits. The presented technique can also be applied to speed up Montgomery multiplication on other SIMD-architectures.
Aurélien François Gilbert Bloch
Ali H. Sayed, Emre Telatar, Mert Kayaalp, Yunus Inan
David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, Flavio Ponzina