KarlsenhashV2: A GPU-Optimized Hashing Algorithm with FPGA Mitigation and Asic Resistance
We're excited to share that the Karlsen Team is currently evaluating the latest iteration of our hashing algorithm: KarlsenhashV2. This version is specifically designed to enhance GPU mining performance while simultaneously diminishing the efficiency of FPGAs and ensuring complete Asic resistance. Its design draws inspiration from the fishhash whitepaper, and it is currently being evaluated by the Karlsen Team.
In addition to KarlsenhashV2, we are also actively encouraging the development of community-generated hashing algorithm proposals. We believe that the combined expertise of our community members can lead to the creation of even more innovative and efficient algorithms. If a community-generated proposal surpasses our own, we are committed to allocating 50% of our development fund to support its further development.
We anticipate launching a public testnet for KarlsenHash V2 in the coming weeks. This will allow our community members to test and provide feedback on the algorithm before its official release. We encourage you to stay tuned for more updates on the development of KarlsenhashV2 and other hashing algorithms. (edited)
source
https://www.reddit.com/r/KarlsenNetwork/comments/18t4rj3/karlsenhashv2_a_gpuoptimized_hashing_algorithm/I hope GPUs and CPUs will return to their old days, ASIC and FPGA are centralizing the issue
