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TCSV
2010
10 years 26 days ago
High Performance Stereo Vision Designed for Massively Data Parallel Platforms
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...
IPPS
1995
IEEE
10 years 9 months ago
Data parallel programming in an adaptive environment
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. ...
CONPAR
1994
10 years 10 months ago
A Software Architecture for Multidisciplinary Applications: Integrating Task and Data Parallelism
Data parallel languages such as Vienna Fortran and HPF can be successfully applied to a wide range of numerical applications. However, many advanced scienti c and engineering appl...
Barbara M. Chapman, Piyush Mehrotra, John Van Rose...
IPPS
1997
IEEE
10 years 10 months ago
Interoperability of Data Parallel Runtime Libraries
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...
Guy Edjlali, Alan Sussman, Joel H. Saltz
IPPS
1998
IEEE
10 years 10 months ago
Hiding Communication Latency in Data Parallel Applications
Interprocessor communication times can be a significant fraction of the overall execution time required for data parallel applications. Large communication to computation ratios o...
Vivek Garg, David E. Schimmel
IPPS
1998
IEEE
10 years 10 months ago
DEEP: A Development Environment for Parallel Programs
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...
Brian Q. Brode, Chris R. Warber
IPPS
2003
IEEE
10 years 11 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
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...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
AFP
2008
Springer
236views Formal Methods» more  AFP 2008»
11 years 15 days ago
A Tutorial on Parallel and Concurrent Programming in Haskell
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...
Simon L. Peyton Jones, Satnam Singh
ICCCN
2008
IEEE
11 years 18 days ago
Policy Distribution Methods for Function Parallel Firewalls
—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
ASAP
2008
IEEE
82views Hardware» more  ASAP 2008»
11 years 19 days ago
Run-time thread sorting to expose data-level parallelism
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...
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