Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
PDE solvers using Adaptive Mesh Refinement on block structured grids are some of the most challenging applications to adapt to massively parallel computing environments. We descr...
Brian van Straalen, John Shalf, Terry J. Ligocki, ...
Longevity of distributed computing middleware standards, such as CORBA, depend on their ability to support a range of applications by providing low overhead access in a uniform man...
Gautam H. Thaker, Patrick J. Lardieri, Chuck Winte...
The increasing use of wireless networks has necessitated the development of a wireless networking infrastructure that supports quality of service (QoS) for multimedia communicatio...
Husni Fahmi, Mudassir Latif, Basit Shafiq, Raymond...
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...