Performance analysis and modeling of GYRO
Efficient execution of scientific applications requires an understanding of how system features impact the performance of the application. Performance models provide significant insight into the performance relationships between an application and the system used for execution. In particular, models...
Main Author: | Lively, Charles Wesley, III |
---|---|
Other Authors: | Taylor, Valerie E. |
Format: | Others |
Language: | en_US |
Published: |
Texas A&M University
2006
|
Subjects: | |
Online Access: | http://hdl.handle.net/1969.1/4335 |
Similar Items
-
Superscalar Processor Models Using Statistical Learning
by: Joseph, P J
Published: (2009) -
Scalability-Driven Approaches to Key Aspects of the Message Passing Interface for Next Generation Supercomputing
by: Zounmevo, Ayi Judicael
Published: (2014) -
E-AMOM: An Energy-Aware Modeling and Optimization Methodology for Scientific Applications on Multicore Systems
by: Lively, Charles
Published: (2012) -
Error Model and Compensation of Bell-Shaped Vibratory Gyro
by: Zhong Su, et al.
Published: (2015-09-01) -
Gyro Motor State Evaluation and Prediction Using the Extended Hidden Markov Model
by: Lei Dong, et al.
Published: (2020-10-01)