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CUDA kernel crash very occasionally when MPI.jl is just loaded. #2429

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0samuraiE opened this issue Jul 1, 2024 · 2 comments
Closed

CUDA kernel crash very occasionally when MPI.jl is just loaded. #2429

0samuraiE opened this issue Jul 1, 2024 · 2 comments
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@0samuraiE
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Describe the bug

As the title said. CUDA kernel very occasionally crash when MPI.jl (only when I use local binary.) is loaded.
I will post this issue to MPI.jl because I do not know which package causes this error. I apologize if duplicate issue is problematic.

To reproduce
Please run below code.

using CUDA
using MPI

f(i) = i^2
a = CUDA.zeros(Float64, 128^3)

function test(a)
    X = range(0, 1, length(a))

    function _kern()
        idx = (blockIdx().x - 1) * blockDim().x + threadIdx().x - 1

        stx = gridDim().x * blockDim().x

        i = idx + 1
        while i <= length(a)
            a[i] = f(i) * X[i]
            i += stx
        end
        return nothing
    end

    kern = @cuda launch = false _kern()
    config = launch_configuration(kern.fun)
    threads = config.threads
    size = length(a)
    blocks = cld.(size, threads)
    CUDA.@sync kern(; threads, blocks)
end

for i in 1:1000000
    @show i
    test(a)
end
Manifest.toml 

# This file is machine-generated - editing it directly is not advised

julia_version = "1.10.4"
manifest_format = "2.0"
project_hash = "4710e62fe75ac0f3f9aeaa2bc5170f1655f71f03"

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version = "1.5.0"

    [deps.AbstractFFTs.extensions]
    AbstractFFTsChainRulesCoreExt = "ChainRulesCore"
    AbstractFFTsTestExt = "Test"

    [deps.AbstractFFTs.weakdeps]
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    Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

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weakdeps = ["StaticArrays"]

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Expected behavior

CUDA should not crash even when MPI is loaded.

Version info

Details on Julia:

Julia Version 1.10.4
Commit 48d4fd48430 (2024-06-04 10:41 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 24 × 13th Gen Intel(R) Core(TM) i7-13700K
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, goldmont)
Threads: 1 default, 0 interactive, 1 GC (on 24 virtual cores)
Environment:
  JULIA_EDITOR = code
  JULIA_NUM_THREADS =

Details on CUDA:

CUDA runtime 12.5, artifact installation
CUDA driver 12.5
NVIDIA driver 555.58.0

CUDA libraries: 
- CUBLAS: 12.5.2
- CURAND: 10.3.6
- CUFFT: 11.2.3
- CUSOLVER: 11.6.2
- CUSPARSE: 12.4.1
- CUPTI: 23.0.0
- NVML: 12.0.0+555.58

Julia packages: 
- CUDA: 5.4.2
- CUDA_Driver_jll: 0.9.0+0
- CUDA_Runtime_jll: 0.14.0+1

Toolchain:
- Julia: 1.10.4
- LLVM: 15.0.7

1 device:
  0: NVIDIA GeForce RTX 4070 Ti (sm_89, 10.826 GiB / 11.994 GiB available)

Raw Error

Caught signal 11 (Segmentation fault: invalid permissions for mapped object at address 0x73db1705f008)
==== backtrace (tid: 167086) ====
 0 0x000000000004d212 ucs_event_set_fd_get()  ???:0
 1 0x000000000004d3dd ucs_event_set_fd_get()  ???:0
 2 0x000000000003cae0 __sigaction()  ???:0
 3 0x000000000218512c julia_multiq_check_empty_75203()  ./partr.jl:186
 4 0x0000000001c8b178 jfptr_multiq_check_empty_75204.1()  :0
 5 0x0000000000046f8e _jl_invoke()  /cache/build/builder-amdci4-0/julialang/julia-release-1-dot-10/src/gf.c:2895
 6 0x00000000000984b8 check_empty()  /cache/build/builder-amdci4-0/julialang/julia-release-1-dot-10/src/partr.c:348
 7 0x0000000002345c58 julia_poptask_75372()  ./task.jl:985
 8 0x0000000002345c58 julia_poptask_75372()  ./task.jl:987
 9 0x0000000001f98822 julia_wait_74654()  ./task.jl:994
10 0x0000000001d308a3 julia_#wait#645_74673()  ./condition.jl:130
11 0x0000000000046f8e _jl_invoke()  /cache/build/builder-amdci4-0/julialang/julia-release-1-dot-10/src/gf.c:2895
12 0x00000000000a2014 jlcapi_synchronization_worker_13778()  text:0
=================================

[166990] signal (11.-6): Segmentation fault
in expression starting at /home/atomic/dev/test2/test1.jl:31
multiq_check_empty at ./partr.jl:186
jfptr_multiq_check_empty_75204.1 at /home/atomic/.julia/juliaup/julia-1.10.4+0.x64.linux.gnu/lib/julia/sys.so (unknown line)
_jl_invoke at /cache/build/builder-amdci4-0/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci4-0/julialang/julia-release-1-dot-10/src/gf.c:3077
check_empty at /cache/build/builder-amdci4-0/julialang/julia-release-1-dot-10/src/partr.c:348 [inlined]
ijl_task_get_next at /cache/build/builder-amdci4-0/julialang/julia-release-1-dot-10/src/partr.c:396
poptask at ./task.jl:985
wait at ./task.jl:994
#wait#645 at ./condition.jl:130
wait at ./condition.jl:125 [inlined]
take! at /home/atomic/.julia/packages/CUDA/75aiI/lib/cudadrv/synchronization.jl:53
synchronization_worker at /home/atomic/.julia/packages/CUDA/75aiI/lib/cudadrv/synchronization.jl:121
unknown function (ip: 0x73db15d50e08)
_jl_invoke at /cache/build/builder-amdci4-0/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci4-0/julialang/julia-release-1-dot-10/src/gf.c:3077
jlcapi_synchronization_worker_13778 at /home/atomic/.julia/compiled/v1.10/CUDA/oWw5k_orxmT.so (unknown line)
unknown function (ip: 0x73db16ef9dec)
unknown function (ip: 0x73db16f7d0db)
Allocations: 15353318 (Pool: 15338339; Big: 14979); GC: 22
Segmentation fault (core dumped)

Raw Error

[MPIPreferences]
__clear__ = ["preloads_env_switch"]
_format = "1.0"
abi = "OpenMPI"
binary = "system"
cclibs = []
libmpi = "libmpi"
mpiexec = "mpiexec"
preloads = []

MPI.jl versioninfo()

MPIPreferences:
  binary:  system
  abi:     OpenMPI
  libmpi:  libmpi
  mpiexec: mpiexec

Package versions
  MPI.jl:             0.20.20
  MPIPreferences.jl:  0.1.11

Library information:
  libmpi:  libmpi
  libmpi dlpath:  /usr/lib/libmpi.so
  MPI version:  3.1.0
  Library version:  
    Open MPI v5.0.3, package: Open MPI builduser@buildhost Distribution, ident: 5.0.3, repo rev: v5.0.3, Apr 08, 2024

OS info

Linux EOS-DESKTOP 6.9.7-arch1-1 #1 SMP PREEMPT_DYNAMIC Fri, 28 Jun 2024 04:32:50 +0000 x86_64 GNU/Linux
@0samuraiE 0samuraiE added the bug Something isn't working label Jul 1, 2024
@vchuravy
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vchuravy commented Jul 1, 2024

This is very likely a bug in OpenMPI and one of the libraries they use called UCX.

From the stack trace the program crashes in UCP which is part of UCX. What happens if you call MPI.Init() before loading CUDA?

@vchuravy
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vchuravy commented Jul 1, 2024

Let's close this in favor of JuliaParallel/MPI.jl#846

There is likely little we can do in CUDA.jl

@vchuravy vchuravy closed this as not planned Won't fix, can't repro, duplicate, stale Jul 1, 2024
@vchuravy vchuravy mentioned this issue Jul 1, 2024
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