12/10/2009 8:29:18 PM|GPUGRID|Requesting new tasks for CPU

They are currently not running any CPU WUs on GPUGrid.

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Thanks - Steve

My work done always seems to be at zero, but if I trace back through the logs (looking for GPU tasks) for the last 3 days nothing, but last night it did get some and did process up to 5 tasks.

tasks seem to be processed & uploaded:
12/14/2009 1:49:35 AM GPUGRID Reporting 1 completed tasks, requesting new tasks for GPU
12/14/2009 1:49:40 AM GPUGRID Scheduler request completed: got 1 new tasks
.....
12/14/2009 1:55:58 AM GPUGRID Finished upload of 57-GIANNI_BIND_507-44-100-RND5480_0_0
12/14/2009 1:55:58 AM GPUGRID Finished upload of 57-GIANNI_BIND_507-44-100-RND5480_0_7

but...

12/14/2009 1:56:51 AM GPUGRID Sending scheduler request: To fetch work.
12/14/2009 1:56:51 AM GPUGRID Reporting 1 completed tasks, requesting new tasks for GPU
12/14/2009 1:56:56 AM GPUGRID Scheduler request completed: got 0 new tasks
12/14/2009 1:56:56 AM GPUGRID Message from server: No work sent
12/14/2009 1:56:56 AM GPUGRID Message from server: (reached daily quota of 5 tasks)

only 5 tasks can be processed per day? Its mostly the 0 workload that doesn't seem right.

I did load rosetta simply to see what that project would do.

Solved one mystery to discover another, I have 0 work units completed because they have ALL failed with an error. I have a 9600GT with latest drivers and CUDA *should* be installed??



<core_client_version>6.10.17</core_client_version>
<![CDATA[
<message>
The system cannot find the path specified. (0x3) - exit code 3 (0x3)
</message>
<stderr_txt>
Failed to set low-cpu sync mode
# Using CUDA device 0
# There is no device supporting CUDA.
# Device 0: "Device Emulation (CPU)"
# Clock rate: 1.35 GHz
# Total amount of global memory: -1 bytes
# Number of multiprocessors: 16
# Number of cores: 128
Cuda error in file '..\cuda/cutil.h' in line 968 : no CUDA-capable device is available.
Memory usage: host: bytes device: bytes
Assertion failed: 0, file ..\cuda/cutil.h, line 968

This application has requested the Runtime to terminate it in an unusual way.
Please contact the application's support team for more information.

</stderr_txt>
]]>

You finished up the gpu memory. Try to restart the system.

gdf