Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
High-performance multiprocessor systems built around out-of-order processors with aggressive branch predictors execute many memory references that turn out to be on a mispredicted...
Resit Sendag, Ayse Yilmazer, Joshua J. Yi, Augustu...
— Program code size is a critical factor in determining the manufacturing cost of many embedded systems, particularly those aimed at the extremely costconscious consumer market. ...
In a shared-memory multiprocessor system, it is possible that certain synchronization operations are redundant -that is, their corresponding sequencing requirements are enforced c...
Shuvra S. Bhattacharyya, Sundararajan Sriram, Edwa...
In this paper we address the problem of global real-time periodic scheduling on heterogeneous multiprocessor platforms. We give a solution based on a constraint satisfaction proble...