Towards energy-efficient parallel analysis of neural signals

Cluster Computing

Volumn 16, Issue 1, 2013, Pages 39-53

  Chen, Dan ^a,b   Lu, Dongcuan ^c   Tian, Mingwei ^c   He, Shan ^b   Wang, Shuaiting ^c   Tian, Jian ^d   Cai, Chang ^a   Li, Xiaoli ^c  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^c YANSHAN UNIVERSITY   (China)

^d HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

EEG; General purpose computing on the graphics processing unit; Green computing; Neural signals

Indexed keywords

COMPUTER GRAPHICS; COMPUTER GRAPHICS EQUIPMENT; ELECTROENCEPHALOGRAPHY; ENERGY EFFICIENCY; GRAPHICS PROCESSING UNIT; GREEN COMPUTING; NEUROLOGY; PROGRAM PROCESSORS;

ENERGY EFFICIENT; EXPERIMENTAL EXAMINATION; EXPERIMENTAL METHODS; FOCAL EPILEPSY; GENERAL-PURPOSE COMPUTING; MASSIVELY PARALLELS; NEURAL SIGNALS; PARALLEL ANALYSIS;

SIGNAL ANALYSIS;

EID: 84874807154     PISSN: 13867857     EISSN: 15737543     Source Type: Journal    
DOI: 10.1007/s10586-011-0175-6     Document Type: Article

References (27)

1. Chen, D., Theodoropoulos, G. K., Turner, S. J., Cai, W., Minson, R., Zhang, Y.: Large scale agent-based simulation on the grid. Future Gener. Comput. Syst. 24(7), 658-671 (2008).
2. Chen, D., Turner, S. J., Cai, W., Theodoropoulos, G. K., Xiong, M., Lees, M.: Synchronization in federation community networks. J. Parallel Distrib. Comput. 70(2), 144-159 (2010).
3. Chen, D., Li, D., Xiong, M., Bao, H., Li, X.: GPGPU-aided ensemble empirical mode decomposition for EEG analysis during anaesthesia. IEEE Trans. Inf. Technol. Biomed. 14(6), 1417-1427 (2010).
4. Finnerty, G. T., Jefferys, J. G.: 9-16 Hz oscillation precedes secondary generalization of seizures in the rat tetanus toxin model of epilepsy. J. Neurophysiol. 83, 2217-2226 (2000).
5. Finnerty, G. T., Jefferys, J. G.: Investigation of the neuronal aggregate generating seizures in the rat tetanus toxin model of epilepsy. J. Neurophysiol. 88, 2919-2927 (2002).
6. Hasson, U., Skipper, Ji, Wilde, Mj., Nusbaum, Hc., Small, Sl.: Improving the analysis, storage and sharing of neuroimaging data using relational databases and distributed computing. NeuroImage 39(2), 693-706 (2008).
7. Heler, T., Steen, P. A.: Assessment of anaesthesia depth. Acta Anaesthesiol. Scand. 40, 1087-1100 (1996).
8. Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N. C., Tung, C. C., Liu, H. H.: The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. R. Soc. Lond. 454, 903-995 (1998).
9. Teeters, J. L., Harris, K. D., Millman, K. J., Olshausen, B. A., Sommer, F. T.: Data sharing for computational neuroscience. Neuroinformatics 6(1), 47-55 (2008).
10. Li, X. L., Li, D., Liang, Z. H., Voss, L. J., Sleigh, J. W.: Analysis of depth of anaesthesia with Hilbert-Huang spectral entropy. Clin. Neurophysiol. 119(11), 2465-2475 (2008).
11. Müller, A., Osterhage, H., Sowaa, R., Andrzejakc, R. G., Mormanna, F., Lehnertz, K.: A distributed computing system for multivariate time series analyses of multichannel neurophysiological data. J. Neurosci. Methods 152(1-2), 190-201 (2006).
12. NVIDIA: NVIDIA CUDA C Programming Guide Version 3. 2. http://developer. download. nvidia. com/compute/cuda/3_2_prod/toolkit/docs/CUDA_C_Programming_Guide. pdf (2011).
13. Owens, J. D., Houston, M., Luebke, D., Green, S., Stone, J. E., Phillips, J. C.: GPU computing. Proc. IEEE 96(5), 879-899 (2008).
14. Rampil, I. J., Matteo, R. S.: Changes in EEG spectral edge frequency correlate with the hemodynamic response to laryngoscopy and intubation. Anesthesiology 67, 139-142 (1987).
15. Rofouei, M., Stathopoulos, T., Ryffel, S., Kaiser, W., Sarrafzadeh, M.: Energy-aware high performance computing with graphic processing units. In: Proceedings of the 2008 Conference on Power Aware Computing and Systems (HotPower'08), p. 11. USENIX, Berkeley (2008).
16. Rossant, C., Goodman, D. F. M., Fontaine, B., Platkiewicz, J., Magnusson, A. K., Brette, R.: Fitting neuron models to spike trains. Frontiers Neurosci. 5, 9 (2011). doi: 10. 3389/fnins. 2011. 00009.
17. Sanei, S., Chambers, J.: EEG Signal Processing, pp. 35-50. Wiley, New York (2007).
18. Schenk, O., Christena, M., Burkharta, H.: Algorithmic performance studies on graphics processing units. J. Parallel Distrib. Comput. 68(10), 1360-1369 (2008).
19. Tolke, J., Krafczyk, M.: TeraFLOP computing on a desktop pc with GPUs for 3D CFD. Int. J. Comput. Fluid Dyn. 22, 443-456 (2008).
20. Wang, L., von Laszewski, G., Kunze, M., Tao, J., Dayal, J.: Provide virtual distributed environments for grid computing on demand. Adv. Eng. Softw. 41(2), 213-219 (2010).
21. Wang, L., Jie, W.: Towards supporting multiple virtual private computing environments on computational Grids. Adv. Eng. Softw. 40(4), 239-245 (2009).
22. Wang, L., von Laszewski, G., Chen, D., Tao, J., Kunze, M.: Provide virtual machine information for grid computing. IEEE Trans. SMC (TSMC) 40(6), 1362-1374 (2010).
23. Wang, L., von Laszewski, G., Tao, J., Kunze, M.: Grid virtualization engine: design, implementation and evaluation. IEEE Syst. J. (ISJ) 3(4), 477-488 (2009).
24. Wang, L., von Laszewski, G., Kunze, M., Tao, J.: Cloud computing: a perspective study. New Gener. Comput. 28(2), 137-146 (2010).
25. Wang, L., Fu, C.: Research advances in modern cyberinfrastructure. New Gener. Comput. 28(2), 111-112 (2010).
26. Wilson, J. A., Williams, J. C.: Massively parallel signal processing using the graphics processing unit for real-time brain-computer interface feature extraction. Front NeuroEng. 2, 11 (2009).
27. Wu, Z. H., Huang, N. E.: Ensemble empirical mode decomposition: a noise assisted data analysis method. Adv. Adap. Data Anal. 1, 1-41 (2009).