We’ve seen not only how standard GPGPU prowess can help accelerate standard applications, but also how GPGPUs are enabling highperformance computing solutions to build the next generation of multi-exaop speed supercomputers. The cores in those modern supercomputers are still, at heart, the same CUDA cores as in your Nvidia GPU, and the same capable OpenCLpowered stream processors that AMD uses. So the question is, can you turn your home GPGPU to science? Of course you can!
This is the biggest distributed computing project in the world, and back in 2016, it broke through the 100 petaflops level. Download the client and you can help researchers explore cures for Alzheimer’s, cancer, Parkinson’s disease, Huntington’s disease, and more.
We’d be surprised if you hadn’t heard of Seti@home, because it’s been searching for extraterrestrial life since 1999. Berkeley, which began SETI, has expanded its distributed computing system to a general open design called Berkeley Open Infrastructure for Network Computing, aka BOINC. This encompasses SETI@home and a whole lot more, and it also automatically takes advantage of any CUDA and OpenCLcapable resources.