3 ms·

Thanks! Clearly we don't have the volume to make this as big as @home, but let's not forget how expensive it is to run a big computer. The folding@home project

Thanks! Clearly we don't have the volume to make this as big as @home, but let's not forget how expensive it is to run a big computer. The folding@home project claims 36,000 TFLOPS of performance. If we generously estimate 1 GFLOPS/W for most home computers, then we are talking about a cost of ~$36M/year for the people donating cycles. This would be a smaller system, and if we get all 10,000 Parallella boards in the field hooked up, the electrical cost would only be ~$50K/year. I am not going to get into the whole "what is a supercomputer thing":-) I am never going to beat Nvidia at that game. http://nvidianews.nvidia.com/news/nvidia-launches-tegra-x1-mobile-super-chip http://nvidianews.nvidia.com/news/nvidia-launches-tegra-x1-m... What I do know is that 180,000 CPU cores working on one problem is one insane distributed computer.

nickpsecurity 11y ago
The electrical cost savings is a sound argument. On the side, that might also be a good reason for your marketing team to target customers in areas with high energy prices. Just a thought. I'm still waiting for Adapteva to combine their work with SGI- or NUMAscale-style tech to have a UV-style system full of CPU's, your accelerators for general use, and optionally FPGA's for special purpose stuff. The CC memory + bandwith + ton of Adapteva IC's per node would = incredible performance per dollar and watt. Maybe. ;) Any plans for integrating with ccNUMA architectures?