Analysis and modeling of energy reducing source code transformations

2004 ◽  
Author(s):  
C. Brandolese ◽  
W. Fornaciari ◽  
F. Salice ◽  
D. Sciuto
Keyword(s):  
Source Code ◽  
Code Transformations

scholarly journals A Systematic Approach to Reduce the System Bus Load and Power in Multimedia Algorithms

VLSI Design ◽  
2001 ◽  
Vol 12 (2) ◽  
pp. 101-111 ◽  
Author(s):  
Koen Danckaert ◽  
Chidamber Kulkarni ◽  
Francky Catthoor ◽  
Hugo De Man ◽  
Vivek Tiwari
Keyword(s):  
Energy Consumption ◽  
Medical Imaging ◽  
Execution Time ◽  
Systematic Approach ◽  
Source Code ◽  
Detection Algorithm ◽  
Cavity Detection ◽  
Code Transformations ◽  
Data Transfers ◽  
And Storage

Multimedia algorithms deal with enormous amounts of data transfers and storage, resulting in huge bandwidth requirements at the off-chip memory and system bus level. As a result the related energy consumption becomes critical. Even for execution time the bottleneck can shift from the CPU to the external bus load. This paper demonstrates a systematic software approach to reduce this system bus load. It consists of source-to-source code transformations, that have to be applied before the conventional ILP compilation. To illustrate this we use a cavity detection algorithm for medical imaging, that is mapped on an Intel Pentium® II processor.

Source code transformations and optimizations

2017 ◽  
pp. 137-183 ◽  
Author(s):  
João M.P. Cardoso ◽  
José Gabriel F. Coutinho ◽  
Pedro C. Diniz
Keyword(s):  
Source Code ◽  
Code Transformations
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