Title :
Effects of scaling a coarse-grain reconfigurable array on power and energy consumption
Author :
Hussain, Waqar ; Ahonen, Tapani ; Nurmi, Jari
Author_Institution :
Dept. of Comput. Syst., Tampere Univ. of Technol., Tampere, Finland
Abstract :
In recent past, we scaled a 4 × 8 processing element (PE) template-based Coarse-Grain Reconfigurable Array (CGRA) to a 4×4, 4×16 and 4×32 PE CGRA and generated matrix-vector multiplication (MVM) accelerators from each one of them. Furthermore, on each of the accelerators, MVM kernels of order N = 4; 8; 16; 32 were mapped. In this paper, we have estimated the power and energy consumption by generating the postfit gate-level netlist of each accelerator for a Field Programmable Gate Array as target platform. Based on our measurements, we have studied the effects of scalability of a CGRA on power and energy consumption.
Keywords :
embedded systems; field programmable gate arrays; matrix multiplication; reconfigurable architectures; coarse-grain reconfigurable array; energy consumption; field programmable gate array; matrix-vector multiplication accelerators; postfit gate-level netlist; power consumption; processing element template-based CGRA; Arrays; Energy consumption; Field programmable gate arrays; Logic gates; Power demand; Resource management; Vectors;
Conference_Titel :
System on Chip (SoC), 2012 International Symposium on
Conference_Location :
Tampere
Print_ISBN :
978-1-4673-2895-1
Electronic_ISBN :
978-1-4673-2894-4
DOI :
10.1109/ISSoC.2012.6376372
