Field programmable gate arrays (FPGAs) are widely used in VLSI applications due to their flexibility to implement logical functions, fast total turn-around time and low none-recurring engineering cost. SRAM-based FPGAs are the most popular FPGAs in the market. However, as process technologies advance to nanometer-scale regime, the issue of reliability of devices becomes critical. Soft errors are increasingly becoming a reliability concern because of the shrinking process dimensions. In this paper we study the technology mapping problem for FPGA circuits to reduce the occurrence of soft errors under the chip performance constraint and power reduction. Compared to two power-optimization mapping algorithms, SVmap [17] and Emap [15] respectively, we reduce the soft error rate by 40.6% with a 2.22% power overhead and 48.0% with a 2.18% power overhead using 6-LUTs.

This paper presents a technology mapping algorithm for field-programmable gate array architectures with dual supply voltages (Vdds) for power optimization. This is done with the guarantee that the mapping depth of the circuit will not increase compared to the circuit with a single Vdd. This paper also presents an enhanced clustering algorithm that considers dual supply voltages, honoring the dual-Vdd mapping solution. To carry out various comparisons, we first design a single-Vdd mapping algorithm, named SVmap-2, which achieves a 3.8% total power reduction (15.6% dynamic power reduction) over a previously published low-power mapping algorithm, Emap . We then show that our dual-Vdd mapping algorithm, named DVmap-2, can further improve total power savings by 12.8% over SVmap-2, with a 52.7% dynamic power reduction. Compared to the early single-Vdd version SVmap , DVmap-2 is 14.3% better for total power reduction. This is achieved through an ideal selection of the low-Vdd/high-Vdd ratio and the consideration of various voltage changing scenarios during the mapping process.