In this paper, we present and evaluate three temperature-sensitive loop parallelization strategies for array-intensive applications executed on chip multiprocessors in order to reduce the peak temperature. Our experimental results show that the peak (average) temperature can be reduced by 20.9 degree C (4.3 degree C) when averaged over all the applications tested, incurring small performance/power penalties.