TY - GEN
T1 - Constructing a mobility and acceleration computing platform with NVIDIA Jetson TK1
AU - Su, Min
AU - Tan, Jianjun
AU - Lin, Chun Yuan
AU - Ye, Jin
AU - Wang, Chung Hung
AU - Hung, Che Lun
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/23
Y1 - 2015/11/23
N2 - Current high-end graphics processing units (GPUs), which contain up to thousand cores per-chip, are widely used in the high performance computing community. However, in the past, the cost and power consumption of constructing a high performance platform with graphics cards, such as Tesla and Fermi series, are high. Moreover, these graphics cards all installed in personal computers or servers, and then the immediate and mobility requirements can not be provided by this platform. NVIDIA Jetson TK1 (Tegra K1) is a full-featured platform for embedded applications and it contains 192 CUDA Cores (Kepler GPU). Due to its low cost, low power consumption and high applicability, NVIDIA Jetson TK1 has become a new research direction. In this paper, we construct a mobility and acceleration computing platform with NVIDIA Jetson TK1. Besides, two tools, ClustalWtk and MCCtk are designed based on NVIDIA Jetson TK1. These tools both can achieve 3 and 4 times speedup ratios on single NVIDIA Jetson TK1 by comparing with their CPU versions on Intel XEON E5-2650 CPU and ARM Cortex-A15 CPU, respectively. Moreover, the cost-performance ratio by NVIDIA Jetson TK1 is higher than that by NVIDIA Tesla K20m. In addition, the user friendly interfaces are also provided by these two tools, respectively.
AB - Current high-end graphics processing units (GPUs), which contain up to thousand cores per-chip, are widely used in the high performance computing community. However, in the past, the cost and power consumption of constructing a high performance platform with graphics cards, such as Tesla and Fermi series, are high. Moreover, these graphics cards all installed in personal computers or servers, and then the immediate and mobility requirements can not be provided by this platform. NVIDIA Jetson TK1 (Tegra K1) is a full-featured platform for embedded applications and it contains 192 CUDA Cores (Kepler GPU). Due to its low cost, low power consumption and high applicability, NVIDIA Jetson TK1 has become a new research direction. In this paper, we construct a mobility and acceleration computing platform with NVIDIA Jetson TK1. Besides, two tools, ClustalWtk and MCCtk are designed based on NVIDIA Jetson TK1. These tools both can achieve 3 and 4 times speedup ratios on single NVIDIA Jetson TK1 by comparing with their CPU versions on Intel XEON E5-2650 CPU and ARM Cortex-A15 CPU, respectively. Moreover, the cost-performance ratio by NVIDIA Jetson TK1 is higher than that by NVIDIA Tesla K20m. In addition, the user friendly interfaces are also provided by these two tools, respectively.
KW - CUDA
KW - Compound Comparison
KW - Mutliple Sequence Alginment
KW - NVIDIA Jetson TK1
KW - Parallel Processing
UR - http://www.scopus.com/inward/record.url?scp=84961762865&partnerID=8YFLogxK
U2 - 10.1109/HPCC-CSS-ICESS.2015.212
DO - 10.1109/HPCC-CSS-ICESS.2015.212
M3 - Conference contribution
AN - SCOPUS:84961762865
T3 - Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015
SP - 1854
EP - 1858
BT - Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015
Y2 - 24 August 2015 through 26 August 2015
ER -