energy efficient calculations of text similarity measure on fpga-accelerated computing platforms...
TRANSCRIPT
Energy efficient calculationsof text similarity measureon FPGA-acceleratedcomputing platforms
Michał Karwatowski1,2, Paweł Russek1,2,Maciej Wielgosz1,2, Sebastian Koryciak1,2,Kazimierz Wiatr12
1AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków,2ACK Cyfronet AGH, ul. Nawojki 11, 30-950 Kraków
PPAM 06-09.09.2015 Kraków
2Agenda
Energy consumption in data centers
Text processing
Low energy FPGA cluster
Experiments
Results
Conclusions and future work
3Energy consumptionin data centers
HUGE energy consumption
Complex algorithms require computing power
Text processing
Use different hardware
9ZedBoard
Dual-core ARM Cortex-A9 667 MHz
512 MB RAM connected to PS
FPGA XC7Z02085k logic cells
140 block RAMs
12VC707
Intel Core i7 950 3066 MHz
12 GB RAM
FPGA VX485T485k logic cells
1030 block RAMs
PCIe Gen2x8
20Conclusions
Speedup achieved;Zynq 11.7 times faster
Virtex 10.5 times faster
Energy consumption:Zynq 10.8 times lower
Virtex 12.9 times lower
21Work in progress
32 internal channels in Zynq
192 internal channels in Virtex
Database in DDR3 memory