The multiplication of large integers represents a significant computation effort in some cryptographic techniques. The use of dedicated hardware is an appealing solution to improve performances or efficiency. We propose a methodology to generate throughput oriented hardware accelerators for large integers multiplication leveraging High-Level Synthesis. The proposed micro-architectural template combines Karatsuba and Comba algorithms to control the extra-functional properties of the generated multiplier. The goal is to enable the end user to explore a wide range of possibilities, in terms of performance and resource utilization, without requiring them to know implementation and synthesis details. Experimental results show the large flexibility of the generated architectures and that the generated Pareto-set of multipliers can outperform some state-of-the-art RTL design.

Parametric Throughput Oriented Large Integer Multipliers for High Level Synthesis

Vitali E.;Gadioli D.;Ferrandi F.;Palermo G.
2021-01-01

Abstract

The multiplication of large integers represents a significant computation effort in some cryptographic techniques. The use of dedicated hardware is an appealing solution to improve performances or efficiency. We propose a methodology to generate throughput oriented hardware accelerators for large integers multiplication leveraging High-Level Synthesis. The proposed micro-architectural template combines Karatsuba and Comba algorithms to control the extra-functional properties of the generated multiplier. The goal is to enable the end user to explore a wide range of possibilities, in terms of performance and resource utilization, without requiring them to know implementation and synthesis details. Experimental results show the large flexibility of the generated architectures and that the generated Pareto-set of multipliers can outperform some state-of-the-art RTL design.
2021
Proceedings -Design, Automation and Test in Europe, DATE
978-3-9819263-5-4
FPGA, High Level Synthesis, Large Integer Multipliers
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1208351
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