Parallel and distributed systems are representative of large and complex systems that require the application of formal methods. These systems are often unreliable because implemen...
Victoria Chernyakhovsky, Peter Frey, Radharamanan ...
—The performance bottleneck for many scientific applications is the cost of memory access inside linear algebra kernels. Tuning such kernels for memory efficiency is a complex ...
Because of increasing hardware and software complexity, the running time of many computational science applications is now more than the mean-time-to-failure of highpeformance com...
Greg Bronevetsky, Daniel Marques, Keshav Pingali, ...
Clusters of workstations are becoming popular platforms for parallel computing, but performance on these systems is more complex and harder to predict than on traditional parallel...
Geetanjali Sampemane, Scott Pakin, Andrew A. Chien
Requirements engineers need to make sure that the requirements models and specifications they are building do accurately capture what stakeholders really want. Requirements animat...
Hung Tran Van, Axel van Lamsweerde, Philippe Masso...