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Hi,
For online users, we noticed some environment setting problems happen
to some users. So if you can work through the labs on your environment,
please ignore this mail.
For online users having problems working through any of the labs,
please download the package again and following the instructions below.
The package is zipped at https://hub.vscse.org/resources/103 .
1. Move your old package directory to another name you like.
2. Unzipped the downloaded new package.
3. Remove the "benchmarks" directory under the new package directory.
4. Move the "benchmarks" directory under the old package directory to
the new one.
Then try lab 0 again. You should have no problems with the environment
settings.
Give us feedbacks if you still have problems.
Xiao-Long
ardavan
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Aug 3, 2010, 4:22:57 PM8/3/10
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to VSCSE Many-core Processors 2010
The Makefile in the common/src still including /usr/local/cuda/
include. This fails for systems that cuda toolkit is installed in a
different directory. Should this be changed to $CUDAHOME or
$CUDA_INSTALL_PATH?
Heeseok Kim
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Aug 3, 2010, 4:25:47 PM8/3/10
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I think so. But this is beyond what we might be able to fix as we cannot have an access to the system.
Xiao-Long Wu
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Aug 3, 2010, 4:40:54 PM8/3/10
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Thanks for
this information. We'll put this in the corresponding readme file.
Xiao-Long
ardavan
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Aug 3, 2010, 4:46:41 PM8/3/10
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to VSCSE Many-core Processors 2010
Hi Xiao,
There are more make files that need to be changed. Here are the ones
I changed:
common/mk/cuda.mk platform/cuda.mk platform/mcuda.mk
btw, gcc 4.4.4 complains about the "weak references" but gcc 4.5.0
works fine.
-Ardavan
Xiao-Long Wu
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Aug 3, 2010, 5:44:48 PM8/3/10
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Thanks for
the information, we'll see what we can do to make it better.
Xiao-Long
Ben
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Aug 3, 2010, 6:54:24 PM8/3/10
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Instead of increasing producing empty, halo cells, could one write a kernel to deal only this the non-boundary cells and a separate kernel or CPU code to handle the more complicated boundary cases? This seems obvious enough that it would surprise me if something like it hasn't been done; does anyone have examples which come to mind or any comments on the performance of such a technique? Ben
John Stratton
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Aug 3, 2010, 7:39:46 PM8/3/10
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It's definitely worthwhile looking into. The effectiveness of that tradeoff is tied to how good the performance of the processing of the halos cells alone would be. It may or may not be more efficient to just process empty halo cells than do the extra work (even in a separate kernel or CPU code) to figure out exactly how to not process them.
--John ================ John Stratton 217-621-9501 507 W Green St Apt 10 Champaign, IL 61820
Xiao-Long Wu
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Aug 4, 2010, 2:43:31 PM8/4/10
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In response
to the request, we just finished a revision. If you have no problems
with your current package, please skip this mail.
Date: 08/04/2010: Revising the Makefiles for machines not having
NVCC
installed at /usr/local/cuda. If you have no problems with the
package
downloaded previously, please ignore this update.
You'll need to revise the Makefile and macro within it listed below
to fit your
environment. The default value for $CUDAHOME is "/usr/local/cuda".