Comments (7)
cyk0521
commented on July 24, 2024
1
I have ported darknet (https://github.com/pjreddie/darknet) for GPGPU-sim (cuBLAS and cuRAND were replaced by my own kernels), and executed VGGnet-16 (inference).
It works fine with my native GPU1080Ti, but it shows buffer overflow while loading weight data from a file (528MB).
GPGPU-sim consumed more than 4GB memory while loading the weight file of VGGnet-16, and it showed buffer overflow which was not shown at native GPU.
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abhi1212
commented on July 24, 2024
What type of application are you trying to run?
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abhi1212
commented on July 24, 2024
Which cfg file are you using?
How many layers execute on the simulator before you get an overflow error.
…On Tue, Jun 5, 2018, 04:24 cyk0521 ***@***.***> wrote:
I have ported darknet (https://github.com/pjreddie/darknet) for GPGPU-sim
(cuBLAS and cuRAND were replaced by my own kernels), and executed VGGnet-16
(inference).
It works fine with my native GPU1080Ti, but it shows buffer overflow while
loading weight data from a file (528MB).
GPGPU-sim consumed more than 4GB memory while loading the weight file of
VGGnet-16, and it showed buffer overflow which was not shown at native GPU.
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cyk0521
commented on July 24, 2024
I'm using vgg-16.cfg and imagenet1k.data to validate an input image.
Here is my command line:
./darknet classifier predict cfg/imagenet1k.data cfg/vgg-16.cfg vgg-16.weights data/eagle.jpg
I face overflow error before execution of neural network layers.. GPU memory contents were corrupted while loading VGGnet-16 weight file.
As my observation, no GPU kernel was executed before memory corruption.
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EdwarDu
commented on July 24, 2024
@cyk0521 sorry for hijacking the thread, but is it possible to share your port of darknet? We are trying to use darknet with gpgpu-sim also facing the same issue regarding cuBLAS and cuRAND. Though we are using tiny yolo without memory overflow issue (for now).
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abhi1212
commented on July 24, 2024
Yes, Even I would like to look at it once, have you posted it on git?
…On Tue, Jun 12, 2018 at 1:35 PM, Boyang Du ***@***.***> wrote:
@cyk0521 <https://github.com/cyk0521> sorry for hijacking the thread, but
is it possible to share your port of darknet? We are trying to use darknet
with gpgpu-sim also facing the same issue regarding cuBLAS and cuRAND.
Though we are using tiny yolo without memory overflow issue (for now).
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gangmul12
commented on July 24, 2024
While running resnet50, i faced the same issue.
Due to the overflow of the variable that holds address value, functional simulation fails.
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Related Issues (20)
- Data storage in physical memory
- Run ptx directly in GPGPUSim HOT 2
- When running GPGPU-sim with NVIDIA driver, such an error occurs. HOT 7
- how to get the Logic and arithmetic instructions of the PTX-level
- Resolve GCC Warning and Address Potential Bug in Checkpoint Functionality
- When running in gdb, an error occurs
- DVFS in GPGPU-sim
- make[1]: *** [Makefile:76: depend] Error 127 & make: *** [Makefile:207: cuda-sim] Error 2 in RHEL 9 HOT 20
- RuntimeError: cublas runtime error(gpgpu-sim with pytorch) HOT 1
- Deadlock when scaling up problem sizes
- ptx_parse() fuction doesn't return when executing different applications HOT 3
- Does gpgpu-sim support CUDA driver api? HOT 2
- How to complie it in ubuntu 22.04? HOT 2
- [Question] Using `gpgpu_ptx_sim_load_ptx_from_string` without affecting original `gpgpu_context`? HOT 1
- Independent Warp Scheduling in Volta+'s SIMT model HOT 1
- Does not natively support emulation within python runtime: HOT 1
- Segmentation fault (core dumped) when running gpgpusim 4.0/4.2 with cutlass 1.3（maybe due to .loc instruction syntax error in PTX） HOT 1
- gpgpu-sim v4: Increasing DRAM Frequency has no impact on performance
- make: Getting issue with the g++ command in Ubuntu 22.04
- Question about L2 configuration
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