Traditional multilevel partitioning approaches have shown good performance with respect to cutsize, but offer no guarantees with respect to system performance. Timing-driven part...
We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
GPU-based heterogeneous clusters continue to draw attention from vendors and HPC users due to their high energy efficiency and much improved single-node computational performance...