![]() Some of those labs have created GPU applications. I should also point out that there are several labs working on similar protein structure research, but different search algorithms are used. CPU is only as good as how well the benchmark used for the comparison matches your actual requirements. In other words, any performance metric published about GPU vs. Fast memory and cache basically just eliminating things that can cause the CPU to be waiting rather than crunching. Sequential problems like that benefit from high raw CPU (and memory, and L2 cache) performance. Some compute problems have to resolve a series of calculations where each answer is used as an input to the next calculation. Some compute problems benefit from the high degree of parallelism. Heck, even performance/power consumption (efficiency) of $20 cheap Chinese media players, or cellphones, is much higher than x86 CPUs. GPU worst case scenario VS CPU best case scenario:Ī fair comparison would say the average GPU is 100x faster than an average CPU, while doing it at a much lower power consumption. The fictive number for high end GPUs (like an RTX 2080 Ti) would be 6750.Īnd while the CPU has many more optimizations, GPUs benefit from their direct access to VRAM (much faster than CPU RAM). The fictive number for low end GPUs (like a GT 750) would be 576. ![]() Multiply this and a fictive number of 100 comes out.Ī GPU runs mostly in-order cores, at a much lower 1,5-1,8Ghz (let's say for the sake of discussion 1,5Ghz sustained).īut a low end GPU has a good 384 cores, a high end GPU has 4500 cores. That's 16 threads of 5Ghz of data, that gets a 20-25% boost due to out of order arrangement. Most RTX and modern higher end AMD GPUs, support DPP.Ī CPU runs Out Of Order instructions, running at sub 5 Ghz, with mostly 8 cores 16 threads. Thats how I use my resources for a long time.Ī lot of projects can now be ran on a modern GPU.ĪTI GPUs support Double precision, which is probably the only limitation on what projects can only be ran from CPU. You can dedicate your gpu to and cpu to rosetta. maybe its too hard for them to code a gpu version. When asked fah says the same thing, not all projects are suitable for gpu folding.
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