Hardware-Accelerated Dynamic Binary Translation
Simon Rokicki1, Erven Rohou2 and Steven Derrien1
1Université de Rennes 1/IRISA
2INRIA/IRISA
ABSTRACT
Dynamic Binary Translation (DBT) is often used in hardware/software co-design to take advantage of an architecture model while using binaries from another one. The co-development of the DBT engine and of the execution architecture leads to architecture with special support to these mechanisms. In this work, we propose a hardware accelerated Dynamic Binary Translation where the first steps of the DBT process are fully accelerated in hardware. Results shows that using our hardware accelerators leads to a speed-up of 8× and a cost in energy 18× lower, compared with an equivalent software approach.
