Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participati...
D. Brent Weatherly, David K. Lowenthal, Mario Naka...
The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
Type and effect systems provide a safe and effective means of programming high-performance parallel computers with a high-level language that integrates both functional and impe...
Global addressing of shared data simplifies parallel programming and complements message passing models commonly found in distributed memory machines. A number of programming sys...
Beng-Hong Lim, Chi-Chao Chang, Grzegorz Czajkowski...
Recent work has shown that we can dramatically improve the performance of computer games and simulations through declarative processing: Character AI can be written in an imperati...
Ben Sowell, Alan J. Demers, Johannes Gehrke, Nitin...