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19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers
Building on a Framework: Using FG for More Flexibility and Improved Performance in Parallel Programs
Denver, Colorado
April 04-April 08
ISBN: 0-7695-2312-9
| ASCII Text | x | ||
| Elena Riccio Davidson, Thomas H. Cormen, "Building on a Framework: Using FG for More Flexibility and Improved Performance in Parallel Programs," Parallel and Distributed Processing Symposium, International, vol. 1, pp. 54, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers, 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/IPDPS.2005.133, author = {Elena Riccio Davidson and Thomas H. Cormen}, title = {Building on a Framework: Using FG for More Flexibility and Improved Performance in Parallel Programs}, journal ={Parallel and Distributed Processing Symposium, International}, volume = {1}, year = {2005}, issn = {1530-2075}, pages = {54}, doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.133}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Parallel and Distributed Processing Symposium, International TI - Building on a Framework: Using FG for More Flexibility and Improved Performance in Parallel Programs SN - 1530-2075 SP EP A1 - Elena Riccio Davidson, A1 - Thomas H. Cormen, PY - 2005 KW - null VL - 1 JA - Parallel and Distributed Processing Symposium, International ER - | |||
We describe new features of FG that are designed to improve performance and extend the range of computations that fit into its framework. FG (short for Framework Generator) is a programming environment for parallel programs running on clusters. It was originally designed to mitigate latency in accessing data by running a program as a series of asynchronous stages that operate on buffers in a linear pipeline. To improve performance, FG now allows stages to be replicated, either statically by the programmer or dynamically by FG itself. FG also now alters thread priorities to use resources more efficiently; again, this action may be initiated by either the programmer or FG. To extend the range of computations that fit into its framework, FG now incorporates fork-join and DAG structures. Not only do fork-join and DAG structures allow for more programs to be designed for FG, but they also can enable significant performance improvements over linear pipeline structures.
Citation:
Elena Riccio Davidson, Thomas H. Cormen, "Building on a Framework: Using FG for More Flexibility and Improved Performance in Parallel Programs," ipdps, vol. 1, pp.54, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers, 2005
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