Abstract--Real-time stereo vision is attractive in many applications like robot navigation and 3D scene reconstruction. Data parallel platforms, e.g. GPU, is often used for real-ti...
Wei Yu, Tsuhan Chen, Franz Franchetti, James C. Ho...
For better utilization of computing resources, it is important to consider parallel programming environments in which the number of available processors varies at runtime. In this...
Guy Edjlali, Gagan Agrawal, Alan Sussman, Joel H. ...
Data parallel languages such as Vienna Fortran and HPF can be successfully applied to a wide range of numerical applications. However, many advanced scientic and engineering appl...
Barbara M. Chapman, Piyush Mehrotra, John Van Rose...
This paper describes a framework for providing the ability to use multiple specialized data parallel libraries and/or languages within a single application. The ability to use mul...
Interprocessor communication times can be a significant fraction of the overall execution time required for data parallel applications. Large communication to computation ratios o...
The use of the DEEP development environment to analyze parallel program performance is described. The full integrated environment contains tools for the creation, analysis and deb...
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
This practical tutorial introduces the features available in Haskell for writing parallel and concurrent programs. We first describe how to write semi-explicit parallel programs b...
—Parallel firewalls offer a scalable low latency design for inspecting packets at high speeds. Typically consisting of an array of m firewalls, these systems filter arriving p...
Michael R. Horvath, Errin W. Fulp, Patrick Wheeler
We address the problem of data parallel processing for computational quantum chemistry (CQC). CQC is a computationally demanding tool to study the electronic structure of molecule...
Tirath Ramdas, Gregory K. Egan, David Abramson, Ki...