Any update on CUDA 5.5?

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I probably did not do a good job of asking my question. What I really want to know is the % of GPU untilization so that I may understand how hard I am pushing the GPU.

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Hi robl,

It seems you're asking two questions here:

1) What nvidia-smi reports doesn't just depend on the driver but also on the device. I'm not sure that fan speeds or utilisation details are reported by consumer cards. It could very well be that only the Tesla (workstation/GPGPU) series do support this (which I know they do).

Here is my output from nvidia-smi. You will notice that the GPU Utilization field is N/A. I would like to know what this value is so that I can better understand how many GPU WU to crunch. I have noted elsewhere that "nvidia-smi" does provide this information on some older cards but stopped providing this value after the introduction of driver xxx.xx. Notice GPU temp and fan rpm are shown. Some values "have been changed".

==============NVSMI LOG==============

Timestamp : Thu Aug 15 12:00:35 2013
Driver Version : 304.88

Attached GPUs : 1
GPU 0000:01:00.0
Product Name : GeForce GTX 650 Ti
Display Mode : N/A
Persistence Mode : Disabled
Driver Model
Current : N/A
Pending : N/A
Serial Number : N/A
GPU UUID : GPU-XXXXXXXXX-XXXXXXXXXXXXX-XXXXXXXXXXX
VBIOS Version : 11.22.33.44.55.66
Inforom Version
Image Version : N/A
OEM Object : N/A
ECC Object : N/A
Power Management Object : N/A
GPU Operation Mode
Current : N/A
Pending : N/A
PCI
Bus : 0x01
Device : 0x00
Domain : 0x0000
Device Id : 0x1234567
Bus Id : 0000:01:00.0
Sub System Id : 0x842A1043
GPU Link Info
PCIe Generation
Max : N/A
Current : N/A
Link Width
Max : N/A
Current : N/A
Fan Speed : 44 %
Performance State : N/A
Clocks Throttle Reasons : N/A
Memory Usage
Total : 1023 MB
Used : 352 MB
Free : 671 MB
Compute Mode : Default
Utilization
Gpu : N/A
Memory : N/A
Ecc Mode
Current : N/A
Pending : N/A
ECC Errors
Volatile

Single Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Total : N/A
Double Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Total : N/A
Aggregate
Single Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Total : N/A
Double Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Total : N/A
Temperature
Gpu : 56 C
Power Readings
Power Management : N/A
Power Draw
: N/A
Power Limit : N/A
Default Power Limit : N/A
Min Power Limit : N/A
Max Power Limit : N/A
Clocks
Graphics : N/A

2) I can't really follow you regarding the "value added" performance gain by installing the "NVIDIA CUDA tool set". The CUDA toolkit is meant to used for building and running GPGPU applications. You don't need this for Einstein@Home as we provide all necessary libraries with our apps. Also, the CUDA development drivers are in principle not optimised or by any means better than the regular drivers. AFAIK, they are technically the same and the dev drivers are just the ones which CUDA releaes get developed and tested against. It shouldn't matter if you install any newer regular driver.

HTH
Oliver