![]() In general, less hosts means less competition and thus a higher payout for the work you did. Then, go to the Gridcoinstats Website and sort all the whitelisted projects by number of hosts. If you need to select an FP32 project, your first step is to go to the Gridcoin Whitelist and check what GPU projects are available. In the case of FP64 projects, your choices are severely limited - In future, it is likely many more FP64 projects will be appearing on the BOINC scene as many modern modelling applications need FP64 accuracy. Having found out whether to apply your GPU to a single or double precision project, you now need to select the specific project to crunch. Therefore, we would want to task a GeForce GTX960 to a single precision project. For the GeForce GTX 960 these show 2308 GFLOPS of FP32 and 72.1 GFLOPS of FP64. The numbers we are interested in are in the processing power columns. Unless you have large screen you may have trouble reading those numbers, but click the image to go straight to the Wikipedia page. This GPU comes from the GeForce 900 series, so lets look that up in Wikipedia and scroll down to the products summary: From here on, lets pretend I had a relatively common gaming card installed - a GeForce GTX 960. In my case the GPU is an NVIDIA Quadro 600, which is old and not much use anymore. Navigate to the second tab, marked 'Display 1' to find out what GPU your machine has installed: Note how this screen lists a lot of your PC's specs, such as the OS, CPU and RAM. You will now be presented with a screen like this: ![]() If you are asked whether or not you would like to check if your drivers are digitally signed, choose 'no'. If you are running Windows (which most of you are), the easiest way to do this is hitting start, typing 'run', and entering 'dxdiag' To find out how your particular GPU performs, find out the model and then look up the series on Wikipedia. Otherwise, dedicate it to an FP32 project. As a general rule of thumb, if the FP64 rate is 1/4 the FP32 rate or better, you will want to dedicate your card to an FP64 project. Which can your graphics card do? Well, both, in all likelihood.Īll cards can carry out FP32 calculations at some base rate, and most can then carry out FP64 calculations in lieu of FP32 ones at between 1/32nd and 1/2nd the rate in GFLOPS. That means literally what you think it means, as FP32 calculations use 32 bit floating point operations and FP64 calculations use 64 bit floating point operations. GPUs come in two distinct flavours - single precision focused (FP32) and double precision focused (FP64). In the end, it's the philanthropic approach that makes Gridcoin different and unique from the other 700+ Altcoins, and if you were 100% profit driven you would likely be mining something like ETH instead. A lot of BOINC veterans (myself included) get around this issue by spending part of our compute on the projects we believe in and support the most, and another part on making profit. However, the more interesting projects tend to not have the best return on investment. ![]() There is definitely a range of projects from pure theory to directly applicable medical research. For Gridcoin, optimising yield is a little more complicated.īefore we begin, I would like to point out that this article will not address pet projects or what science is more worthwhile. For most other cryptocurrencies, this takes the form of downloading the most recent miner (usually as suggested by the coin's wiki) and running the program. For the second part of this GRC mining miniseries I would like to talk about getting the most out of your GPU in terms of the most meaningful mining metric - GRC/day.
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