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Hi, I have installed accelerate-examples and its dependencies (including the CUDA backend) using the stack-8.0.yaml file in HEAD of the accelerate-examples repository. Specifically, my compilation command line was:
This system does not have a compatible LLVM version, so I tried to disable all of that.
When I run any of the examples, I get a CUDA error. For example:
$ accelerate-nbody --benchmark
accelerate-nbody (c) [2012..2013] The Accelerate Team
Usage: accelerate-nbody [OPTIONS]
Available backends:
interpreter reference implementation (sequential)
* cuda implementation for NVIDIA GPUs (parallel)
running tests...
t=0: [Failed]
ERROR: CUDA Exception: out of memory
t=10: [Failed]
ERROR: CUDA Exception: out of memory
t=20: [Failed]
ERROR: CUDA Exception: out of memory
t=30: [Failed]
ERROR: CUDA Exception: out of memory
t=40: [Failed]
ERROR: CUDA Exception: out of memory
t=50: [Failed]
ERROR: CUDA Exception: out of memory
Test Cases Total
Passed 0 0
Failed 6 6
Total 6 6
This system is headless, so I have not tried running without --benchmark.
I have previously been able to run older versions of these benchmarks on the system, and it is capable of running other CUDA programs. The system configuration is an NVIDIA GTX 780 Ti (actually, two of them), CUDA 7.5, and running RHEL 7.2.
I have tried monitoring the memory usage of the GPUs with nvidia-smi, and it doesn't look like it's running out of memory. In fact, memory usage does not go up at all when running the example.
The text was updated successfully, but these errors were encountered:
I have a partial fix for this so that compiled programs work, but it is still broken under ghci. I'll bump the SHA in the stack.yaml right now so that it includes those commits and hopefully that is at least a temporary solution for you.
Hi, I have installed accelerate-examples and its dependencies (including the CUDA backend) using the
stack-8.0.yaml
file in HEAD of the accelerate-examples repository. Specifically, my compilation command line was:This system does not have a compatible LLVM version, so I tried to disable all of that.
When I run any of the examples, I get a CUDA error. For example:
This system is headless, so I have not tried running without
--benchmark
.I have previously been able to run older versions of these benchmarks on the system, and it is capable of running other CUDA programs. The system configuration is an NVIDIA GTX 780 Ti (actually, two of them), CUDA 7.5, and running RHEL 7.2.
I have tried monitoring the memory usage of the GPUs with
nvidia-smi
, and it doesn't look like it's running out of memory. In fact, memory usage does not go up at all when running the example.The text was updated successfully, but these errors were encountered: