Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
Behavioral synthesis tools have made significant progress in compiling high-level programs into register-transfer level (RTL) specifications. But manually rewriting code is still ...
This paper presents an automated partitioning strategy to divide a design into a set of partitions based on design hierarchy information. While the primary objective is to use the...
Mehrdad Eslami Dehkordi, Stephen Dean Brown, Terry...
Distributing spatially located heterogeneous workloads is an important problem in parallel scientific computing. We investigate the problem of partitioning such workloads (repres...
Abstract--Energy and thermal considerations are increasingly driving system designers to adopt multi-core processors. In this paper, we consider the problem of scheduling periodic ...
Karthik Lakshmanan, Ragunathan Rajkumar, John P. L...