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But again, it does not exist, so this is a non-issue.
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It wouldn't just magically work, and we would not be willing to invest the level of effort required to make it work. And even if the API did have functions to use the onboard storage as VRAM (which, again, it does not), those functions would have to actually be implemented within Hashcat to make use of them, which would be a significant undertaking for a device that surely no one would use for password cracking. Pretty clear from the API documentation that the OpenCL extensions added are solely for file operations. But we aren't doing that because doing so is NOT efficient.Īgain, even if we wanted to get fancy with this and try to do that, the current SSG implementation does NOT allow you to do what you think it does, so we couldn't do it regardless. If we could split this RAM usage up magically into several pieces, some of which would go into the VRAM and the rest into system RAM/Disk efficiently, then the SSG would make sense. A straightforward implementation would need to keep the entire vector in RAM so that it can be accessed as needed." Once the vector is generated, the elements of it are accessed in a pseudo-random order and combined to produce the derived key. "The large memory requirements of scrypt come from a large vector of pseudorandom bit strings that are generated as part of the algorithm. We are initializing a huge lookup table of random bit strings. But for our use case, we arent offloading a ton of file read/writes to a local cache. For the use case of acting as a Frame Buffer, the SSG will do very very well because it can load to/from the onboard SSD RAID very very quickly.
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There seems to be some serious confusion here around the word "Memory".
![Amd radeon ramdisk pro crack Amd radeon ramdisk pro crack](https://windowsforum.kr/files/attach/images/5163047/889/319/012/cda6cef33633688ecf384e17b4b4c3c9.png)
This does NOT allow you to increase the size of each work chunk beyond the size of the local HBM2 VRAM, it just lets you switch to the next chunk faster, increasing overall throughput. This is for when the GPU is done crunching its current work chunk and is going to get the next chunk of work from the disk. Just like how Intel Optane is not RAM, it's simply a high speed cache that sits above the disks but below the system RAM.
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It's acting as a next step down from the VRAM, not as part of the local VRAM. "When the GPU wants more work, it has to signal the CPU, which then fetches data from the larger pool of local system RAM or primary storage." "SSG would not replace graphics RAM itself, such as GDDR5+ or HBM or HBM2, as it would be too slow."
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