# GPU Performance Details: Tesla M2075
Contents: | System Configuration Results for datatype double MTimes (double) Backslash (double) FFT (double) Results for datatype single MTimes (single) Backslash (single) FFT (single)
## System Configuration
| Note that this is previously stored data and does not reflect your system configuration.
MATLAB Release: R2016a
Host
Name | Intel(R) Xeon(R) CPU E5-2660 0 @ 2.20GHz
Clock | 2201 MHz
Cache | 2048 KB
NumProcessors | 16
OSType | Windows
OSVersion | Microsoft Windows 7 Enterprise
| GPU
Name | Tesla M2075
Clock | 1147 MHz
NumProcessors | 14
ComputeCapability | 2.0
TotalMemory | 5.25 GB
CUDAVersion | 7.5
DriverVersion | 8.17.13.5390 (353.90)
## Results for MTimes (double) These results show the performance of the GPU or host PC when calculating a matrix multiplication of two NxN real matrices. The number of operations is assumed to be `2*N^3 - N^2`. This calculation is usually compute-bound, i.e. the performance depends mainly on how fast the GPU or host PC can perform floating-point operations.
Raw data for Tesla M2075 - MTimes (double)
Array size (elements) | Num Operations | Time (ms) | GigaFLOPS
--- | --- | --- | ---
1,024 | 64,512 | 0.11 | 0.57
4,096 | 520,192 | 0.10 | 5.13
16,384 | 4,177,920 | 0.11 | 39.37
65,536 | 33,488,896 | 0.21 | 156.41
262,144 | 268,173,312 | 1.21 | 221.35
1,048,576 | 2,146,435,072 | 7.06 | 304.08
4,194,304 | 17,175,674,880 | 52.34 | 328.12
16,777,216 | 137,422,176,256 | 414.74 | 331.34
67,108,864 | 1,099,444,518,912 | 3505.54 | 313.63
(`N` gigaflops = `Nx109` operations per second)
## Results for Backslash (double) These results show the performance of the GPU or host PC when calculating the matrix left division of an `NxN` matrix with an `Nx1` vector. The number of operations is assumed to be `2/3*N^3 + 3/2*N^2`. This calculation is usually compute-bound, i.e. the performance depends mainly on how fast the GPU or host PC can perform floating-point operations.
Raw data for Tesla M2075 - Backslash (double)
Array size (elements) | Num Operations | Time (ms) | GigaFLOPS
--- | --- | --- | ---
1,024 | 23,381 | 0.23 | 0.10
4,096 | 180,907 | 0.31 | 0.58
16,384 | 1,422,677 | 0.60 | 2.38
65,536 | 11,283,115 | 2.24 | 5.04
262,144 | 89,871,701 | 4.25 | 21.13
1,048,576 | 717,400,747 | 10.10 | 71.02
4,194,304 | 5,732,914,517 | 37.61 | 152.43
16,777,216 | 45,838,150,315 | 197.26 | 232.38
67,108,864 | 366,604,539,221 | 1321.71 | 277.37
(`N` gigaflops = `Nx109` operations per second)
## Results for FFT (double) These results show the performance of the GPU or host PC when calculating the Fast-Fourier-Transform of a vector of complex numbers. The number of operations for a vector of length `N` is assumed to be `5*N*log2(N)`. This calculation is usually memory-bound, i.e. the performance depends mainly on how fast the GPU or host PC can read and write data.
Raw data for Tesla M2075 - FFT (double)
Array size (elements) | Num Operations | Time (ms) | GigaFLOPS
--- | --- | --- | ---
1,024 | 51,200 | 0.12 | 0.43
4,096 | 245,760 | 0.15 | 1.67
16,384 | 1,146,880 | 0.15 | 7.77
65,536 | 5,242,880 | 0.20 | 26.63
262,144 | 23,592,960 | 0.49 | 47.82
1,048,576 | 104,857,600 | 1.72 | 60.87
4,194,304 | 461,373,440 | 7.84 | 58.86
16,777,216 | 2,013,265,920 | 30.38 | 66.27
(`N` gigaflops = `Nx109` operations per second)
## Results for MTimes (single) These results show the performance of the GPU or host PC when calculating a matrix multiplication of two NxN real matrices. The number of operations is assumed to be `2*N^3 - N^2`. This calculation is usually compute-bound, i.e. the performance depends mainly on how fast the GPU or host PC can perform floating-point operations.
Raw data for Tesla M2075 - MTimes (single)
Array size (elements) | Num Operations | Time (ms) | GigaFLOPS
--- | --- | --- | ---
1,024 | 64,512 | 0.10 | 0.62
4,096 | 520,192 | 0.10 | 5.30
16,384 | 4,177,920 | 0.09 | 45.33
65,536 | 33,488,896 | 0.20 | 171.72
262,144 | 268,173,312 | 0.72 | 374.87
1,048,576 | 2,146,435,072 | 3.36 | 639.35
4,194,304 | 17,175,674,880 | 25.21 | 681.40
16,777,216 | 137,422,176,256 | 195.26 | 703.80
67,108,864 | 1,099,444,518,912 | 1616.43 | 680.17
268,435,456 | 8,795,824,586,752 | 13035.71 | 674.75
(`N` gigaflops = `Nx109` operations per second)
## Results for Backslash (single) These results show the performance of the GPU or host PC when calculating the matrix left division of an `NxN` matrix with an `Nx1` vector. The number of operations is assumed to be `2/3*N^3 + 3/2*N^2`. This calculation is usually compute-bound, i.e. the performance depends mainly on how fast the GPU or host PC can perform floating-point operations.
Raw data for Tesla M2075 - Backslash (single)
Array size (elements) | Num Operations | Time (ms) | GigaFLOPS
--- | --- | --- | ---
1,024 | 23,381 | 0.23 | 0.10
4,096 | 180,907 | 0.28 | 0.65
16,384 | 1,422,677 | 0.59 | 2.42
65,536 | 11,283,115 | 2.22 | 5.09
262,144 | 89,871,701 | 3.49 | 25.73
1,048,576 | 717,400,747 | 8.23 | 87.15
4,194,304 | 5,732,914,517 | 24.45 | 234.48
16,777,216 | 45,838,150,315 | 109.72 | 417.77
67,108,864 | 366,604,539,221 | 704.08 | 520.69
(`N` gigaflops = `Nx109` operations per second)
## Results for FFT (single) These results show the performance of the GPU or host PC when calculating the Fast-Fourier-Transform of a vector of complex numbers. The number of operations for a vector of length `N` is assumed to be `5*N*log2(N)`. This calculation is usually memory-bound, i.e. the performance depends mainly on how fast the GPU or host PC can read and write data.
Raw data for Tesla M2075 - FFT (single)
Array size (elements) | Num Operations | Time (ms) | GigaFLOPS
--- | --- | --- | ---
1,024 | 51,200 | 0.10 | 0.53
4,096 | 245,760 | 0.10 | 2.55
16,384 | 1,146,880 | 0.15 | 7.90
65,536 | 5,242,880 | 0.15 | 35.09
262,144 | 23,592,960 | 0.33 | 70.70
1,048,576 | 104,857,600 | 0.84 | 124.33
4,194,304 | 461,373,440 | 3.20 | 144.18
16,777,216 | 2,013,265,920 | 12.30 | 163.71
67,108,864 | 8,724,152,320 | 87.85 | 99.31
(`N` gigaflops = `Nx109` operations per second)
Generated by gpuBench v1.7: 2017-02-19 15:03:01 | Back to summary