Changes in 3564e17: gpu - add table from nvidia

				gpu.md
			
          @@ -1,6 +1,6 @@

           ## GPU computing

          -GPU-accelerated computing uses a graphics processing unit (GPU) to accelerate computations in computer programs. Several applications in the SBGrid programs tree are GPU-accelerated. Some examples are RELION, GCTF, MotionCor2, Gautomatch, IMOD, etc. Here's what you need to take advantage of a GPU:

          +GPU-accelerated computing uses a graphics processing unit (GPU) to accelerate computations in computer programs. Several applications in the SBGrid programs tree are GPU-accelerated. Some examples are RELION, GCTF, MotionCor2, Gautomatch, IMOD, AmberTools, etc. Here's what you need to take advantage of a GPU:

           ### Requirements for GPU (CUDA) applications

          @@ -14,7 +14,9 @@ To use GPU-accelerated applications, you will need an NVIDIA GPU. We don't curre

           You linux workstation must have the proper drivers for your GPU. You can find drivers for your card here : [https://developer.nvidia.com/cuda-zone](https://developer.nvidia.com/cuda-zone)

          -We currently support applications that rely on versions of CUDA 7.5 to 9 and these libraries are included with the SBGrid distribution. CUDA libraries do not need to be installed locally - they will not be used by SBGrid software. However, it is important to have a recent driver version if possible.

          +We currently support applications that rely on versions of CUDA 7.5 to 10 and these libraries are included with the SBGrid distribution. CUDA libraries do not need to be installed locally - they will not be used by SBGrid software. However, it is important to have a recent driver version if possible.

          +

          +For information about GPU hardware and CUDA / driver version compatibility, [see this table at nvidia.com](https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver) 

           For more information on GPUs and RELION, check Erik Lindahl's blog at the Department of Biochemistry & Biophysics, Stockholm University,  [http://www.cryoem.se/relion-gpu](http://www.cryoem.se/relion-gpu)

...	...	@@ -1,6 +1,6 @@
1	1	## GPU computing
2	2
3		-GPU-accelerated computing uses a graphics processing unit (GPU) to accelerate computations in computer programs. Several applications in the SBGrid programs tree are GPU-accelerated. Some examples are RELION, GCTF, MotionCor2, Gautomatch, IMOD, etc. Here's what you need to take advantage of a GPU:
	3	+GPU-accelerated computing uses a graphics processing unit (GPU) to accelerate computations in computer programs. Several applications in the SBGrid programs tree are GPU-accelerated. Some examples are RELION, GCTF, MotionCor2, Gautomatch, IMOD, AmberTools, etc. Here's what you need to take advantage of a GPU:
4	4
5	5	### Requirements for GPU (CUDA) applications
6	6
...	...	@@ -14,7 +14,9 @@ To use GPU-accelerated applications, you will need an NVIDIA GPU. We don't curre
14	14
15	15	You linux workstation must have the proper drivers for your GPU. You can find drivers for your card here : [https://developer.nvidia.com/cuda-zone](https://developer.nvidia.com/cuda-zone)
16	16
17		-We currently support applications that rely on versions of CUDA 7.5 to 9 and these libraries are included with the SBGrid distribution. CUDA libraries do not need to be installed locally - they will not be used by SBGrid software. However, it is important to have a recent driver version if possible.
	17	+We currently support applications that rely on versions of CUDA 7.5 to 10 and these libraries are included with the SBGrid distribution. CUDA libraries do not need to be installed locally - they will not be used by SBGrid software. However, it is important to have a recent driver version if possible.
	18	+
	19	+For information about GPU hardware and CUDA / driver version compatibility, [see this table at nvidia.com](https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility__table-toolkit-driver)
18	20
19	21	For more information on GPUs and RELION, check Erik Lindahl's blog at the Department of Biochemistry & Biophysics, Stockholm University, [http://www.cryoem.se/relion-gpu](http://www.cryoem.se/relion-gpu)
20	22