Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
We consider distributed real-time systems where concurrency control is managed using software transactional memory. For such a method we propose an algorithm to compute an upper b...
Sherif Fadel Fahmy, Binoy Ravindran, E. Douglas Je...
The locality of the data in parallel programs is known to have a strong impact on the performance of distributed-memory multiprocessor systems. The worse the locality in access pa...
Xinmin Tian, Shashank S. Nemawarkar, Guang R. Gao,...
In this paper, we present several novel strategies to improve software controlled cache utilization, so as to achieve lower power requirements for multi-media and signal processin...
Design-time decisions can often only cover certain scenarios and fail in efficiency when hard-to-predict system scenarios occur. This drives the development of run-time adaptive s...