Publications

Proceedings - International Conference on Computer Communications and Networks, ICCCN

Brightwell, Ronald B.; Pedretti, Kevin P.; Ferreira, Kurt

Understanding the communication behavior and network resource usage of parallel applications is critical to achieving high performance and scalability on systems with tens of thousands of network endpoints. The need for better understanding is not only driven by the desire to identify potential performance optimization opportunities for current networks, but is also a necessity for designing next-generation networking hardware. In this paper, we describe our approach to instrumenting the SeaStar interconnect on the Cray XT series of massively parallel processing machines to gather low-level network timing data. This data provides a new perspective on performance evaluation, both in terms of evaluating the resource usage patterns of applications as well as evaluating different implementation strategies in the network protocol stack. © 2008 IEEE.

Proposed for publication in the ACM SIGOPS Operating System Review.

Brightwell, Ronald B.; Pedretti, Kevin P.

Abstract not provided.

Brightwell, Ronald B.; Pedretti, Kevin P.

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Pedretti, Kevin P.

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Pedretti, Kevin P.; Kelly, Suzanne M.; Vandyke, John P.; Vaughan, Courtenay T.

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Ferreira, Kurt; Pedretti, Kevin P.; Levenhagen, Michael J.; Brightwell, Ronald B.

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Ferreira, Kurt; Pedretti, Kevin P.; Brightwell, Ronald B.

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Pedretti, Kevin P.; Kelly, Suzanne M.; Levenhagen, Michael J.

This report summarizes our investigations into multi-core processors and programming models for parallel scientific applications. The motivation for this study was to better understand the landscape of multi-core hardware, future trends, and the implications on system software for capability supercomputers. The results of this study are being used as input into the design of a new open-source light-weight kernel operating system being targeted at future capability supercomputers made up of multi-core processors. A goal of this effort is to create an agile system that is able to adapt to and efficiently support whatever multi-core hardware and programming models gain acceptance by the community.

Pedretti, Kevin P.; Barrett, Brian B.; Hemmert, Karl S.; Vaughan, Courtenay T.

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Pedretti, Kevin P.

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Pedretti, Kevin P.

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Pedretti, Kevin P.

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Doerfler, Douglas W.; Rajan, Mahesh R.; Pedretti, Kevin P.

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Riesen, Rolf; Brightwell, Ronald B.; Pedretti, Kevin P.

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Pedretti, Kevin P.

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Ang, James A.; Ballance, Robert A.; Riesen, Lee A.; Johnston, J.; Pedretti, Kevin P.

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Ang, James A.; Ballance, Robert A.; Riesen, Lee A.; Johnston, J.; Pedretti, Kevin P.

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Pedretti, Kevin P.

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