An important class of problems used widely in both the embedded systems and scientific domains perform memory intensive computations on large data sets. These data sets get to be ...
J. Ramanujam, Satish Krishnamurthy, Jinpyo Hong, M...
Abstract We present a novel approach to performance optimization by integrating retiming and resynthesis. The approach is oblivious of register boundaries during resynthesis. In ad...
Future embedded systems (ES) will offer higher computation capacity than existing embedded systems. New applications of these ES require more and more memory resources and more an...
Modern embedded systems often require high degrees of instruction-level parallelism (ILP) within strict constraints on power consumption and chip cost. Unfortunately, a high-perfo...
In this paper, we propose a new linear programming based timing driven placement framework for high performance designs. Our LP framework is mainly net-based, but it takes advanta...