Difference between revisions of "Cluster:LLK Poster Structure"
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===Survey/Current State of Affairs=== | ===Survey/Current State of Affairs=== | ||
+ | * Light, detail in [[#Measurement Techniques]]. | ||
+ | * Include dead ends here. | ||
+ | * List of approaches. | ||
+ | |||
Places to look: | Places to look: | ||
* Beowulf archives | * Beowulf archives | ||
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* Google Scholar | * Google Scholar | ||
− | ==Methodology== | + | ==Design (of the Experiment, Methodology)== |
===Measurement (Techniques)=== | ===Measurement (Techniques)=== | ||
* TCP/IP stack time point placement | * TCP/IP stack time point placement | ||
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* MrBayes (high level) | * MrBayes (high level) | ||
− | == | + | ==Results (of the Experiment)== |
(tabular, incl. test environment) | (tabular, incl. test environment) | ||
− | ==Summary/Discussion/Conclusions== | + | ==Analysis (Summary/Discussion/Conclusions)== |
==Future Work== | ==Future Work== | ||
==References== | ==References== |
Revision as of 11:47, 28 January 2006
Contents
Abstract
Network latency continues to be a bottleneck for many computational science applications on Beowulf clusters. Using open source tools, we develop technology for making nanosecond precision measurements between timing points within the 2.6 Linux kernel. Using this technology, in conjunction with low-level and application benchmarks, we establish that there is significant network latency in the kernel and identify its origin. Lastly, we survey software-based latency reduction technologies and make recommendations based on our measurements. (original)
Keywords:
The Problem
Overview
Motivation
Survey/Current State of Affairs
- Light, detail in #Measurement Techniques.
- Include dead ends here.
- List of approaches.
Places to look:
- Beowulf archives
- ACM
- IEEE
- Citeseer
- Google Scholar
Design (of the Experiment, Methodology)
Measurement (Techniques)
- TCP/IP stack time point placement
- tp_timer
- high res timing w/counters
Verification and Validation
(Analysis) Tools
- /proc -> database
- PHP/gnuplot visualization
Benchmarks
- netpipe (low level)
- MrBayes (high level)
Results (of the Experiment)
(tabular, incl. test environment)