Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
This paper compares several implementations of entry consistency (EC) and lazy release consistency (LRC), two relaxed memory models in use with software distributed shared memory ...
Sarita V. Adve, Alan L. Cox, Sandhya Dwarkadas, Ra...
The scope of wireless sensor network (WSN) applications has traditionally been restricted by physical sensor coverage and limited computational power. Meanwhile, IP networks like t...
As multi-cores arrive for mainstream desktop systems, developers must invest the effort to parallelize their applications. We present Parallel Task (short ParaTask), a solution to ...
While Internet telephony aims to provide services at least equal to traditional telephony, the architecture of Internet telephony is sufficiently different to make it necessary to ...