Hashcat Newbie Multi GPU Setup

[1984RoadStar]

Both cards have been detected:

Code:

CUDA API (CUDA 11.1)

====================

* Device #1: GeForce RTX 2060 SUPER, 7653/7979 MB, 34MCU

* Device #2: GeForce RTX 2060 SUPER, 7881/7982 MB, 34MCU

1) Does it matter if I am using Desktop Ubuntu, or do I need to use server?

Same.

2) How do I edit this patch to apply to secondary video cards? (I would eventually like to have 6-8 identical cards)

Do not edit. Cards are already detected.



Please post output of :

hashcat -I

and hashcat -b -m 0

Output of hashcat -I


hashcat (v6.1.1-120-g15bf8b730) starting...

CUDA Info:
==========

CUDA.Version.: 11.1

Backend Device ID #1 (Alias: #3)
  Name...........: GeForce RTX 2060 SUPER
  Processor(s)...: 34
  Clock..........: 1665
  Memory.Total...: 7979 MB
  Memory.Free....: 7691 MB

Backend Device ID #2 (Alias: #4)
  Name...........: GeForce RTX 2060 SUPER
  Processor(s)...: 34
  Clock..........: 1665
  Memory.Total...: 7982 MB
  Memory.Free....: 7881 MB

OpenCL Info:
============

OpenCL Platform ID #1
  Vendor..: NVIDIA Corporation
  Name....: NVIDIA CUDA
  Version.: OpenCL 1.2 CUDA 11.1.102

  Backend Device ID #3 (Alias: #1)
    Type...........: GPU
    Vendor.ID......: 32
    Vendor.........: NVIDIA Corporation
    Name...........: GeForce RTX 2060 SUPER
    Version........: OpenCL 1.2 CUDA
    Processor(s)...: 34
    Clock..........: 1665
    Memory.Total...: 7979 MB (limited to 1994 MB allocatable in one block)
    Memory.Free....: 0 MB
    OpenCL.Version.: OpenCL C 1.2
    Driver.Version.: 455.32.00

  Backend Device ID #4 (Alias: #2)
    Type...........: GPU
    Vendor.ID......: 32
    Vendor.........: NVIDIA Corporation
    Name...........: GeForce RTX 2060 SUPER
    Version........: OpenCL 1.2 CUDA
    Processor(s)...: 34
    Clock..........: 1665
    Memory.Total...: 7982 MB (limited to 1995 MB allocatable in one block)
    Memory.Free....: 0 MB
    OpenCL.Version.: OpenCL C 1.2
    Driver.Version.: 455.32.00


the output of hashcat -b -m 0 is:

hashcat (v6.1.1-120-g15bf8b730) starting in benchmark mode...

Benchmarking uses hand-optimized kernel code by default.
You can use it in your cracking session by setting the -O option.
Note: Using optimized kernel code limits the maximum supported password length.
To disable the optimized kernel code in benchmark mode, use the -w option.

* Device #2: WARNING! Kernel exec timeout is not disabled.
            This may cause "CL_OUT_OF_RESOURCES" or related errors.
            To disable the timeout, see: https://hashcat.net/q/timeoutpatch
* Device #4: WARNING! Kernel exec timeout is not disabled.
            This may cause "CL_OUT_OF_RESOURCES" or related errors.
            To disable the timeout, see: https://hashcat.net/q/timeoutpatch
CUDA API (CUDA 11.1)
====================
* Device #1: GeForce RTX 2060 SUPER, 7695/7979 MB, 34MCU
* Device #2: GeForce RTX 2060 SUPER, 7881/7982 MB, 34MCU

OpenCL API (OpenCL 1.2 CUDA 11.1.102) - Platform #1 [NVIDIA Corporation]
========================================================================
* Device #3: GeForce RTX 2060 SUPER, skipped
* Device #4: GeForce RTX 2060 SUPER, skipped

Benchmark relevant options:
===========================
* --optimized-kernel-enable

Hashmode: 0 - MD5


* At this point the cursur flashes 9 times, then just hangs