Elliptic bitcoin mining
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Device IDs start counting from 0! Alternatively give string names of your card like gtxti or gt 2 matching 2nd gt in the PC. Bitoin replaces autotune or heuristic selection. You can pass the strings "auto" or just a kernel prefix like F or K or T to autotune for a specific card generation or a kernel prefix plus a lauch configuration like F28x8 if you know what kernel runs best from a previous autotune.
Use this to remove lag at the cost of some hashing performance. Do not use large launch configs for devices that shall run in interactive mode - it's best to use autotune! Best to use powers of 2 here. Increase for better performance in scrypt-jane with bitcoin hashrate gpu 0 cuda N-factors.
Lower for more interactivity of your video display especially when using the interactive mode. Cached operation has proven to be slightly faster than noncached operation on most GPUs. Cuds using the texture cache this option is implied. Useful for doing some round robin pool or worker hopping from an external controls script. In most cases a -d 0 will work for you.
Specifying video cards by name is best when you often swap your video cards. The device IDs tend to change a lot, whereas the names are much more consistent. If you are not sure what configuration your video card might need, then leave away the -l option and let cudaminer autotune.
For scrypt-jane coins with high N factor using a lookup gap with values greater than 1 will likely boost your performance.
Best to try -L 1 first and work your way up. For solo-mining you typically use -o The wallet must also be started with the -server option and the server flag in the wallet's. Which vitcoin we select and in which bitcoim it is run greatly affects performance.
The CUDA kernel launch configurations are given as a character string, e. F27x3 Prefix Blocks x Warps per block Available kernel prefixes are: F or f - Fermi and Legacy cards Compute 1. Lower case ucda prefixes mean low register count kernels. If you do not specify a kernel to use, autotune will pick a kernel that might be best for your hardware and selected algorithm. You can also override the autotune's automatic kernel selection, e.
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