cudaHashCat64 on AWS EC2

[cremefraiche]

As of right now, I can get a g2.8xlarge spot instance for <$0.3/hr in my area.

Thanks for the tut, btw, it's exactly what I was looking for.
Only change is in hashcat version, but that was a simple fix. s/1.33.7z/1.36.7z/
This is a single g2.8xlarge instance.

cudaHashcat v1.36 starting in benchmark-mode...

Device #1: GRID K520, 4095MB, 797Mhz, 8MCU
Device #2: GRID K520, 4095MB, 797Mhz, 8MCU
Device #3: GRID K520, 4095MB, 797Mhz, 8MCU
Device #4: GRID K520, 4095MB, 797Mhz, 8MCU

Hashtype: MD4
Workload: 1024 loops, 256 accel

Speed.GPU.#1.: 3983.6 MH/s
Speed.GPU.#2.: 3987.5 MH/s
Speed.GPU.#3.: 3983.5 MH/s
Speed.GPU.#4.: 3986.5 MH/s
Speed.GPU.#*.: 15941.1 MH/s

Hashtype: MD5
Workload: 1024 loops, 256 accel

Speed.GPU.#1.: 2494.8 MH/s
Speed.GPU.#2.: 2495.5 MH/s
Speed.GPU.#3.: 2494.7 MH/s
Speed.GPU.#4.: 2496.2 MH/s
Speed.GPU.#*.: 9981.2 MH/s

Hashtype: SHA1
Workload: 1024 loops, 256 accel

Speed.GPU.#1.: 688.7 MH/s
Speed.GPU.#2.: 688.3 MH/s
Speed.GPU.#3.: 688.7 MH/s
Speed.GPU.#4.: 688.4 MH/s
Speed.GPU.#*.: 2754.0 MH/s

Hashtype: SHA256
Workload: 1024 loops, 256 accel

Speed.GPU.#1.: 296.3 MH/s
Speed.GPU.#2.: 296.3 MH/s
Speed.GPU.#3.: 296.2 MH/s
Speed.GPU.#4.: 296.3 MH/s
Speed.GPU.#*.: 1185.0 MH/s