08-16-2012, 02:03 PM
I'm receiving ERROR: ERROR: cuModuleLoad() 301 when running cudaExample500.sh on a system with two Tesla M2070, despite the driver and environment meeting the requirements (so far as I can tell). Any suggestions are appreciated.
Code:
[~/oclHashcat]$ ./cudaExample500.sh
cudaHashcat-plus v0.08 by atom starting...
Hashes: 1
Unique salts: 1
Unique digests: 1
Bitmaps: 8 bits, 256 entries, 0x000000ff mask, 1024 bytes
Rules: 1
GPU-Loops: 64
GPU-Accel: 1
Password lengths range: 1 - 15
Platform: NVidia compatible platform found
Watchdog: Temperature limit set to 90c
Device #1: Tesla M2070, 5375MB, 1147Mhz, 14MCU
Device #2: Tesla M2070, 5375MB, 1147Mhz, 14MCU
Device #1: Allocating 2MB host-memory
ERROR: ERROR: cuModuleLoad() 301
[root@~]# dmesg | grep -i nvidia
nvidia: module license 'NVIDIA' taints kernel.
nvidia 0000:02:00.0: PCI INT A -> GSI 24 (level, low) -> IRQ 24
nvidia 0000:02:00.0: setting latency timer to 64
nvidia 0000:03:00.0: PCI INT A -> GSI 30 (level, low) -> IRQ 30
nvidia 0000:03:00.0: setting latency timer to 64
NVRM: loading NVIDIA UNIX x86_64 Kernel Module 295.41 Fri Apr 6 23:18:58 PDT 2012
[~/oclHashcat]$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2012 NVIDIA Corporation
Built on Thu_Apr__5_00:24:31_PDT_2012
Cuda compilation tools, release 4.2, V0.2.1221
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 4.2, CUDA Runtime Version = 4.2, NumDevs = 2, Device = Tesla M2070, Device = Tesla M2070
[deviceQuery] test results...
PASSED