Performance Model Generation for MPSoC Design-Space Exploration

2008 ◽  
Author(s):  
B.D. Theelen
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Performance Model ◽  
Model Generation

A two-tier design space exploration algorithm to construct GPU performance model

2015 ◽  
Vol 61 (10) ◽  
pp. 576-583
Author(s):  
S. Ali Mirsoleimani ◽  
Farshad Khunjush ◽  
Ali Karami
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Performance Model

scholarly journals Automated Design Space Exploration with Aspen

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Kyle L. Spafford ◽  
Jeffrey S. Vetter
Keyword(s):  
Design Space Exploration ◽  
Performance Modeling ◽  
Design Space ◽  
Space Exploration ◽  
Three Dimensional ◽  
Automated Design ◽  
Performance Model ◽  
Machine Model ◽  
Modeling Tools ◽  
Parameter Ranges

Architects and applications scientists often use performance models to explore a multidimensional design space of architectural characteristics, algorithm designs, and application parameters. With traditional performance modeling tools, these explorations forced users to first develop a performance model and then repeatedly evaluate and analyze the model manually. These manual investigations proved laborious and error prone. More importantly, the complexity of this traditional process often forced users to simplify their investigations. To address this challenge of design space exploration, we extend our Aspen (Abstract Scalable Performance Engineering Notation) language with three new language constructs: user-defined resources, parameter ranges, and a collection of costs in the abstract machine model. Then, we use these constructs to enable automated design space exploration via a nonlinear optimization solver. We show how four interesting classes of design space exploration scenarios can be derived from Aspen models and formulated as pure nonlinear programs. The analysis tools are demonstrated using examples based on Aspen models for a three-dimensional Fast Fourier Transform, the CoMD molecular dynamics proxy application, and the DARPA Streaming Sensor Challenge Problem. Our results show that this approach can compose and solve arbitrary performance modeling questions quickly and rigorously when compared to the traditional manual approach.

Design Space Exploration of a 512KB STT-Assisted SOT MRAM Cache

2020 ◽  
Author(s):  
Adrian G. Caburnay ◽  
Jonathan Gabriel S.A. Reyes ◽  
Anastacia P. Ballesil-Alvarez ◽  
Maria Theresa G. de Leon ◽  
John Richard E. Hizon ◽  
...  
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration

scholarly journals Optode Design Space Exploration for Clinically-robust Non-invasive Fetal Oximetry

2019 ◽  
Vol 18 (5s) ◽  
pp. 1-22 ◽  
Author(s):  
Daniel D. Fong ◽  
Vivek J. Srinivasan ◽  
Kourosh Vali ◽  
Soheil Ghiasi
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Non Invasive
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