Delay minimization continues to be an important objective in the design of high-performance computing system. In this paper, we present an effective methodology to guide the delay...
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
This paper emphasizes the necessity of formally bringing qualitative and quantitative criteria of ergonomic design together, and provides a novel complementary design framework wit...
Alexandra Melike Brintrup, Jeremy Ramsden, Hideyuk...
This paper describes improvements to the Mach microkernel’s support for efficient application startup across multiple nodes in a cluster or massively parallel processor. Signifi...
Dejan S. Milojicic, David L. Black, Steven J. Sear...
The objective of this work is to create a framework for the optimization of embedded software. We present algorithms and a tool flow to reduce the computational effort of programs,...
Eui-Young Chung, Luca Benini, Giovanni De Micheli,...