DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI

BMC Bioinformatics

Table 5 Performance comparison with respect to R_C_C, R_I_C and R_E_I measures

Datasets	Algorithms	CC	IC	EU	EI	R_CC	R_IC	R_EI
D30X1.5	DecGPU	1275967	191	809207	893	61.19	0.01	0.05
	hSHREC	1736112	10960	214851	125381	88.49	0.56	6.95
D30X3.0	DecGPU	1611459	344	2567906	2932	38.55	0.01	0.08
	hSHREC	2983112	27448	764097	326466	79.03	0.73	9.38
D75X1.5	DecGPU	3373714	388	1844213	530	64.65	0.01	0.02
	hSHREC	1431267	27988	3256061	2219648	30.35	0.59	47.67
D75X3.0	DecGPU	5425615	746	5013497	1122	51.97	0.01	0.02
	hSHREC	757454	29924	9248234	1250738	7.55	0.30	12.76
D150X1.5	DecGPU	7242425	2913	3196883	1004	69.36	0.03	0.04
	hSHREC	741722	37618	9034830	3345778	7.56	0.38	34.47
D150X3.0	DecGPU	11221669	7593	9655700	2121	53.73	0.04	0.05
	hSHREC	1152718	71504	18896523	3136637	5.73	0.36	15.94

ISSN: 1471-2105