Recent News
UNM receives $1.5 million to support computational workforce development
May 8, 2023
Tapia elected to Computing Research Association Board of Directors
March 3, 2023
UNM computer science students take part in HPC competition
March 3, 2023
Computer science professor, student part of AI panel on March 8
February 24, 2023
News Archives
ParoC++: An Objectoriented model for adaptive HPC on the Grid
October 7, 2004
Date: Thursday October 7, 2004
Time: 11am-12:15pm
Location: Woodward 149
Dr. Pierre Kuonen < Pierre.Kuonen@eif.ch>
University of Applied Sciences of Fribourg (EIA-FR) Switzerland
Abstract: Adaptive utilization of resources in a highly heterogeneous computational environment such as the GRID is a difficult question. In this talk we will present an object-oriented approach to the solution using requirement-driven parallel objects. Each parallel object is a self-described, shareable and passive object that resides in a separate memory address space. The allocation of the parallel object is driven by the constraints on the resource on which the object will live. A new parallel programming paradigm is presented in the context of ParoC++ - a new parallel object oriented programming environment for high performance distributed computing. ParoC++ extends C++ for supporting requirement-driven parallel objects and a runtime system that provides services to run ParoC++ programs in distributed environments.