Here is my research about using kangaroo methods to solve ECDLP, Part 2.
Open source:
https://github.com/RetiredC/Kang-2In this part I propose a new method to handle kangaroo looping, it works for all ranges and DP values and does not increase the number of required operations, the only requirement is keeping a short list of visited points which can be coded efficiently on GPU as well, and I will demonstrate it in Part 3.
I see a lot talking about GPU, yes for brute force calculation it seems relevant, but due to this issue of parallelism with multi tasks it seems to be the CPU and ram that count, am I right in saying that?