To improve the energy efficiency of computation, accelerators trade off performance and energy consumption for flexibility. Fixed-function accelerators reach high energy efficiency …
S Park, K Choi - 2011 3rd Asia Symposium on Quality …, 2011 - ieeexplore.ieee.org
CGRA has been considered to be an attractive architecture for accelerating data-intensive applications due to the performance and flexibility that it can provide. However, the cache …
J Stark, A Ireland - 14th IEEE International Conference on …, 1999 - ieeexplore.ieee.org
An approach to automatic imperative program synthesis is presented which builds upon Gries'(1981) vision of developing a program and its proof hand in hand. To achieve this …
CW Lin, CH Lin, WJ Wang - Journal of Zhejiang University SCIENCE C, 2011 - Springer
We studied the architecture of embedded computing systems from the viewpoint of power consumption in memory systems and used a selective-code-compression (SCC) approach …
We propose a novel instruction compression scheme based on fine-grained programmable dictionaries. In its core is a compile-time region-based control flow analysis to selectively …
Y Zhou, X Jin, T Xiang, D Zha - Microprocessors and Microsystems, 2020 - Elsevier
In embedded graphics systems, the graphics processing unit (GPU) also consumes significant amount of frame buffer memory bandwidth. Frame buffer compression is widely …
WJ Wang, CH Lin - 2011 International Symposium on Electronic …, 2011 - ieeexplore.ieee.org
Engineers must consider performance, power consumption and cost when they design digital systems. Embedded systems are more constrained in all these considerations …
CJ Ku, CW Chen, A Hsia, CL Chen - Microprocessors and Microsystems, 2014 - Elsevier
The power consumed by memory systems accounts for 45% of the total power consumed by an embedded system, and the power consumed during a memory access is 10 times higher …
CH Lin, WJ Wang, JC Chen, CW Lin - … Essays Dedicated to Marilyn Wolf on …, 2020 - Springer
Embedded systems are constrained by the available memory, and code compression techniques address this issue by reducing the code size of application programs. The main …