Ding, Zhu
(2006)
Adaptive Hybrid Switching Technique for Parallel Computing System.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
Parallel processing accelerates computations by solving a single problem using multiple compute nodes interconnected by a network. The scalability of a parallel system is limited byits ability to communicate and coordinate processing. Circuit switching, packet switchingand wormhole routing are dominant switching techniques. Our simulation results show that wormhole routing and circuit switching each excel under different types of traffic.This dissertation presents a hybrid switching technique that combines wormhole routing with circuit switching in a single switch using vrtual channels and time division multiplexing. The performance of this hybrid switch is significantly impacted by the effciency of traffic scheduling and thus, this dissertation also explores the design and scalability of hardware scheduling for the hybrid switch. In particular, we introduce two schedulers for crossbar networks: a greedy scheduler and an optimal scheduler that improves upon the resultsprovided by the greedy scheduler. For the time division multiplexing portion of the hybrid switch, this dissertation presents three allocation methods that combine wormhole switching with predictive circuit switching. We further extend this research from crossbar networks to fat tree interconnected networks with virtual channels. The global "level-wise" scheduling algorithm is presented and improves network utilization by 30% when compared to a switch-level algorithm. The performance of the hybrid switching is evaluated on a cycle accurate simulation framework that is also part of this dissertation research. Our experimental results demonstrate that the hybrid switch is capable of transferring both predictable traffics and unpredictable traffics successfully. By dynamically selecting the proper switching technique based on the type of communication traffic, the hybrid switch improves communication for most types of traffic.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
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| Date: |
2 June 2006 |
| Date Type: |
Completion |
| Defense Date: |
27 March 2006 |
| Approval Date: |
2 June 2006 |
| Submission Date: |
7 April 2006 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Swanson School of Engineering > Electrical Engineering |
| Degree: |
PhD - Doctor of Philosophy |
| Thesis Type: |
Doctoral Dissertation |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
hybrid switch; network; parallel computing system; scheduling; switch; virtual channel |
| Other ID: |
http://etd.library.pitt.edu/ETD/available/etd-04072006-075926/, etd-04072006-075926 |
| Date Deposited: |
10 Nov 2011 19:34 |
| Last Modified: |
15 Nov 2016 13:38 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/6845 |
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