These characteristics point to the fact that the TLP available in a GPU application is a good indicator to its cache sensitivity, and hence could aid in promoting an effective sharing of LLC among cores. Moreover, TLP is a true runtime metric that adapts to dynamic behaviors of the GPU application. To the best of our knowledge, no other work has directly utilized TLP as a metric to manage shared LLC in heterogeneous multicore processors. We observe that while mechanisms such as set dueling are not able to identify the true cache sensitivity of GPU applications, TLP forms an accurate metric for the same.