Conference proceeding
Distributed caching strategy
INTELLIGENT COMPUTING: THEORY AND APPLICATIONS VI, v 6961(1)
01 Jan 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
When compared to biological experiments, using computational protein models can save time and effort in identifying native conformations of proteins. Nonetheless, given the sheer size of the conformation space, identifying the native conformation remains a computationally hard problem - even in simplified models such as hydrophobic-hydrophilic (HP) models. Distributed systems have become the focus of protein folding, providing high performance computing power to accommodate the conformation space. To use a distributed system efficiently (with limited resources), an appropriate strategy should be designed accordingly. Communication incurs overhead but can provide useful information in distributed systems through careful consideration. Our study focuses on understanding the behavior of distributed systems and developing an efficient communication strategy to save computational effort in order to obtain good solutions. In this paper, we propose a distributed caching strategy, which reuses partial results of computations and transmits the cached and reusable information among neighboring inter-connected processors. In order to validate this idea in a practical setting, we present algorithms to retrieve and restore the cached information and apply them to 2D triangular HP lattice models through coarse-grained parallel genetic algorithms (CPGAs). Our experimental results demonstrate the time savings as well as the limits in caching improvements for our distributed caching strategy.
Metrics
1 Record Views
Details
- Title
- Distributed caching strategy
- Creators
- Keum J. Kim - Dartmouth CollegeEunice E. Santos - Virginia TechEugene Santos - Dartmouth College
- Contributors
- K L Priddy (Editor)E Ertin (Editor)
- Publication Details
- INTELLIGENT COMPUTING: THEORY AND APPLICATIONS VI, v 6961(1)
- Series
- Proceedings of SPIE
- Publisher
- Spie-Int Soc Optical Engineering
- Number of pages
- 12
- Grant note
- BC063592 / DoD Breast Cancer Research Program Concept Award, USAMRAA
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Engineering
- Web of Science ID
- WOS:000257705000011
- Scopus ID
- 2-s2.0-44449084937
- Other Identifier
- 991022207050304721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Optics
- Remote Sensing