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EURASIP Journal on Advances in Signal Processing

Table 3 Specifications and computing environments for each of the graphics processors used on our benchmarks

From: Discrete shearlet transform on GPU with applications in anomaly detection and denoising

GPU model

Memory (GB)

Number of cores

CC

OS

CUDA

Tesla C1060

4

240

1.3

RHEL 5

5.0.35

GeForce GTX 480

1.5

448

2.0

RHEL 6

4.2.9

Tesla C2050

3

448

2.0

RHEL 6

4.2.9

GeForce GTX 690a

2

1,536

3.0

RHEL 6

5.0.35

Tesla K20c

4.8

2,496

3.5

RHEL 6

5.0.35

  1. aAlthough the GeForce GTX 690 is a dual GPU with a total of 4 GB and 3,072 cores, we have only used one of the two devices in the GPU for our experiments.
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