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+-- Forum: Deprecated; Previous versions (https://hashcat.net/forum/forum-29.html)
+--- Forum: Old oclHashcat Support (https://hashcat.net/forum/forum-38.html)
+--- Thread: It is possible to use a apu and a discrete nvidia together (/thread-5378.html)
It is possible to use a apu and a discrete nvidia together - n_lona - 04-05-2016
It is possible to use a apu open cl 1.2 and a discrete nvidia compute cap 3.5 together? how? I don't thinks to because bios switch between but if it possible would be very userful for me.
RE: It is possible to use a apu and a discrete nvidia together - epixoip - 04-05-2016
Should be possible with beta, test it and see?
RE: It is possible to use a apu and a discrete nvidia together - n_lona - 04-05-2016
(04-05-2016, 05:48 PM)epixoip Wrote: Should be possible with beta, test it and see?
how do I setup such a configuration:
Code:
tail .bashrc
#for APU A8-5500 with HD7560D
export AMDAPPSDKROOT="/opt/AMDAPPSDK-2.9.1"
export LD_LIBRARY_PATH=/opt/AMDAPPSDK-2.9.1/lib/x86_64:$LD_LIBRARY_PATH
#for EVGA GT710
export PATH=/usr/local/cuda-7.5/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-7.5/lib64:$LD_LIBRARY_PATH
alias mp64.bin='/home/hp/maskprocessor-master/src/mp64.bin'
alias cudaHashcat64.bin='/home/hp/cudaHashcat-2.01/cudaHashcat64.bin'
alias oclHashcat64.bin='/home/hp/oclHashcat-2.01/oclHashcat64.bin'
source .bashrcespecially for ld_library, xorg with 2 gpus: one in the apu and one in the discrete one?
RE: It is possible to use a apu and a discrete nvidia together - epixoip - 04-05-2016
Well first of all you never needed to have (nor should you have had) AMD APP SDK or CUDA installed. Neither are necessary or desired for Hashcat. You certainly never needed to use LD_LIBRARY_PATH.
Second, cudaHashcat doesn't exist anymore in beta, OpenCL is used for all platforms and devices.
So I guess the first thing to do would be to get rid of everything you have shown above, especially APP SDK & CUDA, install latest fglrx & Nvidia driver, download latest oclHashcat beta, and then just run it.
RE: It is possible to use a apu and a discrete nvidia together - n_lona - 04-05-2016
(04-05-2016, 09:19 PM)epixoip Wrote: Well first of all you never needed to have (nor should you have had) AMD APP SDK or CUDA installed. Neither are necessary or desired for Hashcat. You certainly never needed to use LD_LIBRARY_PATH.
Second, cudaHashcat doesn't exist anymore in beta, OpenCL is used for all platforms and devices.
So I guess the first thing to do would be to get rid of everything you have shown above, especially APP SDK & CUDA, install latest fglrx & Nvidia driver, download latest oclHashcat beta, and then just run it.
Seems to be possible even with 2.01 oclhc & 2.01 cudahc
Code:
ps ef
PID TTY STAT TIME COMMAND
13328 pts/16 Ss 0:00 -bash LC_TIME=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LANG=it_IT.UTF-8 LC_MEASUREMENT=en_
15106 pts/16 R+ 0:00 \_ ps ef LC_PAPER=en_US.UTF-8 XDG_SESSION_ID=13 LC_MONETARY=en_US.UTF-8 TERM=xterm S
12398 pts/14 Ss 0:00 -bash LC_TIME=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LANG=it_IT.UTF-8 LC_MEASUREMENT=en_
12441 pts/14 S+ 0:00 \_ watch nvidia-smi LC_PAPER=en_US.UTF-8 XDG_SESSION_ID=10 LC_MONETARY=en_US.UTF-8 T
11924 pts/13 Ss 0:00 -bash LC_TIME=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LANG=it_IT.UTF-8 LC_MEASUREMENT=en_
12178 pts/13 S+ 0:00 \_ /home/hp/maskprocessor-master/src/mp64.bin -i 8 23 -q 3 ?a?a?a?a?a?a?a?a LC_PAPER
12179 pts/13 Sl+ 0:22 \_ /home/hp/cudaHashcat-2.01/cudaHashcat64.bin -m 1800 YYYYYYYY.hash LC_PAP
11640 pts/12 Ss+ 0:00 -bash LC_TIME=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LANG=it_IT.UTF-8 LC_MEASUREMENT=en_
3012 pts/0 Ss 0:00 -bash LC_TIME=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LANG=it_IT.UTF-8 LC_MEASUREMENT=en_
3342 pts/0 S+ 0:03 \_ watch amdconfig --odgt --odgc LC_PAPER=en_US.UTF-8 XDG_SESSION_ID=3 LC_MONETARY=e
2822 pts/11 Ss 0:00 -bash LC_TIME=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LANG=it_IT.UTF-8 LC_MEASUREMENT=en_
4350 pts/11 S+ 0:02 \_ watch sensors LC_PAPER=en_US.UTF-8 XDG_SESSION_ID=2 LC_MONETARY=en_US.UTF-8 TERM=
2751 pts/9 Ss 0:00 -bash LC_TIME=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LANG=it_IT.UTF-8 LC_MEASUREMENT=en_
3440 pts/9 S+ 0:03 \_ /home/hp/maskprocessor-master/src/mp64.bin -i 8 8 -q 3 -r 6 ?1?1?1?1?1?1?1?1 -1 ?
3441 pts/9 Sl+ 1:55 \_ /home/hp/oclHashcat-2.01/oclHashcat64.bin -m 2500 XXXXXXXXXXX.hccap --force
Session.Name...: oclHashcat
Status.........: Running
Input.Mode.....: Pipe
Hash.Target....: XXXXXXXXXXX (XX:XX:XX:XX:XX:XX <-> XX:XX:XX:XX:XX:XX)
Hash.Type......: WPA/WPA2
Time.Started...: Tue Apr 5 21:41:36 2016 (52 mins, 33 secs)
Speed.GPU.#1...: 13157 H/s
Recovered......: 0/1 (0.00%) Digests, 0/1 (0.00%) Salts
Progress.......: 41508864
Rejected.......: 0
HWMon.GPU.#1...: 99% Util, -1c Temp, N/A Fan
Session.Name...: cudaHashcat
Status.........: Running
Input.Mode.....: Pipe
Hash.Target....: $6$YYYYYYYYYYYYYYYYYYYYYYYYY.....
Hash.Type......: sha512crypt, SHA512(Unix)
Time.Started...: Tue Apr 5 22:22:56 2016 (12 mins, 50 secs)
Speed.GPU.#1...: 2210 H/s
Recovered......: 0/1 (0.00%) Digests, 0/1 (0.00%) Salts
Progress.......: 1702912
Rejected.......: 0
HWMon.GPU.#1...: -1% Util, 42c Temp, 40% Fan
amdconfig --adapter=0 --od-enable --od-setclocks=770,112
AMD Overdrive(TM) enabled
ERROR - ATI Overdrive(TM) is not supported on Adapter 0 - AMD Radeon HD 7560D
nvidia-settings -q all |grep Attribute| grep GpuUUID && nvidia-settings -q all |grep Attribute| grep GPUUtilization && nvidia-settings -q all |grep Attribute| grep GPUTargetFanSpeed && nvidia-settings -q all |grep Attribute| grep GPUCurrentCoreVoltage && nvidia-settings -q all |grep Attribute| grep GPUPowerSource
NO OUTPUT
# nvidia-xconfig: X configuration file generated by nvidia-xconfig
# nvidia-xconfig: version 364.12 (buildmeister@swio-display-x64-rhel04-01) Wed Mar 16 21:56:36 PDT 2016
Section "ServerLayout"
Identifier "Layout0"
Screen 0 "aticonfig-Screen[0]-0" 0 0
InputDevice "Keyboard0" "CoreKeyboard"
InputDevice "Mouse0" "CorePointer"
EndSection
Section "Files"
EndSection
Section "Module"
EndSection
Section "InputDevice"
# generated from default
Identifier "Mouse0"
Driver "mouse"
Option "Protocol" "auto"
Option "Device" "/dev/psaux"
Option "Emulate3Buttons" "no"
Option "ZAxisMapping" "4 5"
EndSection
Section "InputDevice"
# generated from default
Identifier "Keyboard0"
Driver "kbd"
EndSection
Section "Monitor"
Identifier "Monitor0"
VendorName "Unknown"
ModelName "Unknown"
HorizSync 28.0 - 33.0
VertRefresh 43.0 - 72.0
Option "DPMS"
EndSection
Section "Monitor"
Identifier "aticonfig-Monitor[0]-0"
Option "VendorName" "ATI Proprietary Driver"
Option "ModelName" "Generic Autodetecting Monitor"
Option "DPMS" "true"
EndSection
Section "Device"
# Option "CoolBits" "12"
# Option "CoolBits" "2"
# Option "CoolBits" "4"
# Option "CoolBits" "8"
# Option "CoolBits" "28"
Identifier "Device0"
Driver "nvidia"
VendorName "NVIDIA Corporation"
Option "CoolBits" "30"
Option "Interactive" "False"
EndSection
Section "Device"
Identifier "aticonfig-Device[0]-0"
Driver "fglrx"
BusID "PCI:0:1:0"
EndSection
Section "Screen"
Identifier "Screen0"
Device "Device0"
Monitor "Monitor0"
DefaultDepth 24
SubSection "Display"
Depth 24
EndSubSection
EndSection
Section "Screen"
Identifier "aticonfig-Screen[0]-0"
Device "aticonfig-Device[0]-0"
Monitor "aticonfig-Monitor[0]-0"
DefaultDepth 24
SubSection "Display"
Viewport 0 0
Depth 24
EndSubSection
EndSectionCode:
cat /etc/X11/xorg.conf.04022016
# nvidia-xconfig: X configuration file generated by nvidia-xconfig
# nvidia-xconfig: version 364.12 (buildmeister@swio-display-x64-rhel04-01) Wed Mar 16 21:56:36 PDT 2016
Section "ServerLayout"
Identifier "Layout0"
Screen 0 "Screen0"
InputDevice "Keyboard0" "CoreKeyboard"
InputDevice "Mouse0" "CorePointer"
EndSection
Section "Files"
EndSection
Section "InputDevice"
# generated from default
Identifier "Mouse0"
Driver "mouse"
Option "Protocol" "auto"
Option "Device" "/dev/psaux"
Option "Emulate3Buttons" "no"
Option "ZAxisMapping" "4 5"
EndSection
Section "InputDevice"
# generated from default
Identifier "Keyboard0"
Driver "kbd"
EndSection
Section "Monitor"
Identifier "Monitor0"
VendorName "Unknown"
ModelName "Unknown"
HorizSync 28.0 - 33.0
VertRefresh 43.0 - 72.0
Option "DPMS"
EndSection
Section "Device"
Identifier "Device0"
Driver "nvidia"
VendorName "NVIDIA Corporation"
Option "CoolBits" "12"
Option "Interactive" "False"
# Option "CoolBits" "2"
# Option "CoolBits" "4"
# Option "CoolBits" "8"
# Option "CoolBits" "28"
EndSection
Section "Screen"
Identifier "Screen0"
Device "Device0"
Monitor "Monitor0"
DefaultDepth 24
SubSection "Display"
Depth 24
EndSubSection
EndSectionI know my xorg.conf is messed up but I don't know how to set up to 2 xorg.conf for 2 different gpu each as its own utility to generate a unique file
Code:
clinfo
Number of platforms: 2
Platform Profile: FULL_PROFILE
Platform Version: OpenCL 1.2 AMD-APP (1445.5)
Platform Name: AMD Accelerated Parallel Processing
Platform Vendor: Advanced Micro Devices, Inc.
Platform Extensions: cl_khr_icd cl_amd_event_callback cl_amd_offline_devices cl_amd_hsa
Platform Profile: FULL_PROFILE
Platform Version: OpenCL 1.2 CUDA 8.0.0
Platform Name: NVIDIA CUDA
Platform Vendor: NVIDIA Corporation
Platform Extensions: cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts
Platform Name: AMD Accelerated Parallel Processing
Number of devices: 2
Device Type: CL_DEVICE_TYPE_GPU
Vendor ID: 1002h
Board name: AMD Radeon HD 7560D
Device Topology: PCI[ B#0, D#1, F#0 ]
Max compute units: 4
Max work items dimensions: 3
Max work items[0]: 256
Max work items[1]: 256
Max work items[2]: 256
Max work group size: 256
Preferred vector width char: 16
Preferred vector width short: 8
Preferred vector width int: 4
Preferred vector width long: 2
Preferred vector width float: 4
Preferred vector width double: 0
Native vector width char: 16
Native vector width short: 8
Native vector width int: 4
Native vector width long: 2
Native vector width float: 4
Native vector width double: 0
Max clock frequency: 760Mhz
Address bits: 32
Max memory allocation: 159645696
Image support: Yes
Max number of images read arguments: 128
Max number of images write arguments: 8
Max image 2D width: 16384
Max image 2D height: 16384
Max image 3D width: 2048
Max image 3D height: 2048
Max image 3D depth: 2048
Max samplers within kernel: 16
Max size of kernel argument: 1024
Alignment (bits) of base address: 2048
Minimum alignment (bytes) for any datatype: 128
Single precision floating point capability
Denorms: No
Quiet NaNs: Yes
Round to nearest even: Yes
Round to zero: Yes
Round to +ve and infinity: Yes
IEEE754-2008 fused multiply-add: Yes
Cache type: None
Cache line size: 0
Cache size: 0
Global memory size: 638582784
Constant buffer size: 65536
Max number of constant args: 8
Local memory type: Scratchpad
Local memory size: 32768
Kernel Preferred work group size multiple: 64
Error correction support: 0
Unified memory for Host and Device: 1
Profiling timer resolution: 1
Device endianess: Little
Available: Yes
Compiler available: Yes
Execution capabilities:
Execute OpenCL kernels: Yes
Execute native function: No
Queue on Host properties:
Out-of-Order: No
Profiling : Yes
Platform ID: 0x7f41ab64dde0
Name: Devastator
Vendor: Advanced Micro Devices, Inc.
Device OpenCL C version: OpenCL C 1.2
Driver version: 1445.5 (VM)
Profile: FULL_PROFILE
Version: OpenCL 1.2 AMD-APP (1445.5)
Extensions: cl_amd_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_gl_sharing cl_ext_atomic_counters_32 cl_amd_device_attribute_query cl_amd_vec3 cl_amd_printf cl_amd_media_ops cl_amd_media_ops2 cl_amd_popcnt cl_amd_image2d_from_buffer_read_only cl_khr_spir cl_khr_gl_event
Device Type: CL_DEVICE_TYPE_CPU
Vendor ID: 1002h
Board name:
Max compute units: 4
Max work items dimensions: 3
Max work items[0]: 1024
Max work items[1]: 1024
Max work items[2]: 1024
Max work group size: 1024
Preferred vector width char: 16
Preferred vector width short: 8
Preferred vector width int: 4
Preferred vector width long: 2
Preferred vector width float: 8
Preferred vector width double: 4
Native vector width char: 16
Native vector width short: 8
Native vector width int: 4
Native vector width long: 2
Native vector width float: 8
Native vector width double: 4
Max clock frequency: 1400Mhz
Address bits: 64
Max memory allocation: 2147483648
Image support: Yes
Max number of images read arguments: 128
Max number of images write arguments: 8
Max image 2D width: 8192
Max image 2D height: 8192
Max image 3D width: 2048
Max image 3D height: 2048
Max image 3D depth: 2048
Max samplers within kernel: 16
Max size of kernel argument: 4096
Alignment (bits) of base address: 1024
Minimum alignment (bytes) for any datatype: 128
Single precision floating point capability
Denorms: Yes
Quiet NaNs: Yes
Round to nearest even: Yes
Round to zero: Yes
Round to +ve and infinity: Yes
IEEE754-2008 fused multiply-add: Yes
Cache type: Read/Write
Cache line size: 64
Cache size: 16384
Global memory size: 7726592000
Constant buffer size: 65536
Max number of constant args: 8
Local memory type: Global
Local memory size: 32768
Kernel Preferred work group size multiple: 1
Error correction support: 0
Unified memory for Host and Device: 1
Profiling timer resolution: 1
Device endianess: Little
Available: Yes
Compiler available: Yes
Execution capabilities:
Execute OpenCL kernels: Yes
Execute native function: Yes
Queue on Host properties:
Out-of-Order: No
Profiling : Yes
Platform ID: 0x7f41ab64dde0
Name: AMD A8-5500 APU with Radeon(tm) HD Graphics
Vendor: AuthenticAMD
Device OpenCL C version: OpenCL C 1.2
Driver version: 1445.5 (sse2,avx,fma4)
Profile: FULL_PROFILE
Version: OpenCL 1.2 AMD-APP (1445.5)
Extensions: cl_khr_fp64 cl_amd_fp64 cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_gl_sharing cl_ext_device_fission cl_amd_device_attribute_query cl_amd_vec3 cl_amd_printf cl_amd_media_ops cl_amd_media_ops2 cl_amd_popcnt cl_khr_spir cl_amd_svm cl_khr_gl_event
Platform Name: NVIDIA CUDA
Number of devices: 1
Device Type: CL_DEVICE_TYPE_GPU
Vendor ID: 10deh
Max compute units: 1
Max work items dimensions: 3
Max work items[0]: 1024
Max work items[1]: 1024
Max work items[2]: 64
Max work group size: 1024
Preferred vector width char: 1
Preferred vector width short: 1
Preferred vector width int: 1
Preferred vector width long: 1
Preferred vector width float: 1
Preferred vector width double: 1
Native vector width char: 1
Native vector width short: 1
Native vector width int: 1
Native vector width long: 1
Native vector width float: 1
Native vector width double: 1
Max clock frequency: 954Mhz
Address bits: 64
Max memory allocation: 536821760
Image support: Yes
Max number of images read arguments: 256
Max number of images write arguments: 16
Max image 2D width: 16384
Max image 2D height: 16384
Max image 3D width: 4096
Max image 3D height: 4096
Max image 3D depth: 4096
Max samplers within kernel: 32
Max size of kernel argument: 4352
Alignment (bits) of base address: 4096
Minimum alignment (bytes) for any datatype: 128
Single precision floating point capability
Denorms: Yes
Quiet NaNs: Yes
Round to nearest even: Yes
Round to zero: Yes
Round to +ve and infinity: Yes
IEEE754-2008 fused multiply-add: Yes
Cache type: Read/Write
Cache line size: 128
Cache size: 16384
Global memory size: 2147287040
Constant buffer size: 65536
Max number of constant args: 9
Local memory type: Scratchpad
Local memory size: 49152
Kernel Preferred work group size multiple: 32
Error correction support: 0
Unified memory for Host and Device: 0
Profiling timer resolution: 1000
Device endianess: Little
Available: Yes
Compiler available: Yes
Execution capabilities:
Execute OpenCL kernels: Yes
Execute native function: No
Queue on Host properties:
Out-of-Order: Yes
Profiling : Yes
Platform ID: 0x1b6ad10
Name: GeForce GT 710
Vendor: NVIDIA Corporation
Device OpenCL C version: OpenCL C 1.2
Driver version: 364.12
Profile: FULL_PROFILE
Version: OpenCL 1.2 CUDA
Extensions: cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_optsRE: It is possible to use a apu and a discrete nvidia together - epixoip - 04-05-2016
It's not possible to use both GPUs together with 2.01, no. But it is possible to use 2.01 without all that crap you had, yes.
Maybe I misunderstood your first post but I thought you wanted to use both cooperatively, which can you do in 2.10 beta.
RE: It is possible to use a apu and a discrete nvidia together - n_lona - 04-05-2016
(04-05-2016, 10:55 PM)epixoip Wrote: It's not possible to use both GPUs together with 2.01, no. But it is possible to use 2.01 without all that crap you had, yes.
Maybe I misunderstood your first post but I thought you wanted to use both cooperatively, which can you do in 2.10 beta.
Code:
make
gcc -D_POSIX -DLINUX -s -pipe -W -Wall -std=c99 -Iinclude/ -O2 -DHAVE_HWMON -DHAVE_ADL -DHAVE_NVML -c -o obj/ext_OpenCL.NATIVE.o src/ext_OpenCL.c
gcc -D_POSIX -DLINUX -s -pipe -W -Wall -std=c99 -Iinclude/ -O2 -DHAVE_HWMON -DHAVE_ADL -DHAVE_NVML -c -o obj/shared.NATIVE.o src/shared.c
gcc -D_POSIX -DLINUX -s -pipe -W -Wall -std=c99 -Iinclude/ -O2 -DHAVE_HWMON -DHAVE_ADL -DHAVE_NVML -c -o obj/ext_ADL.NATIVE.o src/ext_ADL.c
gcc -D_POSIX -DLINUX -s -pipe -W -Wall -std=c99 -Iinclude/ -O2 -DHAVE_HWMON -DHAVE_ADL -DHAVE_NVML -c -o obj/ext_nvml.NATIVE.o src/ext_nvml.c
In file included from include/shared.h:111:0,
from include/ext_nvml.h:61,
from src/ext_nvml.c:8:
include/ext_OpenCL.h:26:19: fatal error: CL/cl.h: File o directory non esistente
#include <CL/cl.h>
^
compilation terminated.
In file included from include/shared.h:111:0,
from src/shared.c:13:
include/ext_OpenCL.h:26:19: fatal error: CL/cl.h: File o directory non esistente
#include <CL/cl.h>
^
compilation terminated.
In file included from include/shared.h:111:0,
from include/ext_ADL.h:274,
from src/ext_ADL.c:6:
include/ext_OpenCL.h:26:19: fatal error: CL/cl.h: File o directory non esistente
#include <CL/cl.h>
^
compilation terminated.
In file included from src/ext_OpenCL.c:8:0:
include/ext_OpenCL.h:26:19: fatal error: CL/cl.h: File o directory non esistente
#include <CL/cl.h>
^
compilation terminated.
make: *** [obj/ext_ADL.NATIVE.o] Errore 1
make: *** Attesa per i processi non terminati....
make: *** [obj/ext_nvml.NATIVE.o] Errore 1
make: *** [obj/shared.NATIVE.o] Errore 1
make: *** [obj/ext_OpenCL.NATIVE.o] Errore 1RE: It is possible to use a apu and a discrete nvidia together - epixoip - 04-05-2016
If you don't know how to build from source, then grab the binary distribution from https://hashcat.net/beta/
RE: It is possible to use a apu and a discrete nvidia together - n_lona - 04-05-2016
(04-05-2016, 11:33 PM)epixoip Wrote: If you don't know how to build from source, then grab the binary distribution from https://hashcat.net/beta/thanks a lot never I have never seen the beta dir
edit:
Only to show that what you meant works:
Code:
mp64.bin -i 13:13 -q 3 -r 6 ?1?1?1?1?1?1?1?1?1?1?1?1?1 -1 ?u|./oclHashcat-2.10/oclHashcat64.bin -m 2500 InfostradaWiFi-811716.hccap --force
oclHashcat v2.01 (g5f05fbf) starting...
Device #1: Devastator, 203/812 MB allocatable, 760Mhz, 4MCU
Device #2: AMD A8-5500 APU with Radeon(tm) HD Graphics, skipped
Device #3: GeForce GT 710, 511/2047 MB allocatable, 954Mhz, 1MCU
WARN: ADL_Overdrive6_FanSpeed_Get(): -1
Hashes: 1 hashes; 1 unique digests, 1 unique salts
Bitmaps: 16 bits, 65536 entries, 0x0000ffff mask, 262144 bytes, 5/13 rotates
Rules: 1
Applicable Optimizers:
* Zero-Byte
* Single-Hash
* Single-Salt
Watchdog: Temperature abort trigger set to 90c
Watchdog: Temperature retain trigger disabled
Device #1: Kernel /home/hp/oclHashcat-2.10/kernels/m02500.3ef43359.kernel not found in cache! Building may take a while...
Device #1: Kernel /home/hp/oclHashcat-2.10/kernels/amp_a0.3ef43359.kernel not found in cache! Building may take a while...