![]() With heightened interest in the project as a result of the COVID-19 pandemic, the system achieved a speed of approximately 1.22 exaflops by late March 2020 and reached 2.43 exaflops by April 12, 2020, making it the world's first exaflop computing system. Volunteers can track their contributions on the website, which makes volunteers' participation competitive and encourages long-term is one of the world's fastest computing systems. As part of the client–server model network architecture, the volunteered machines each receive pieces of a simulation (work units), complete them, and return them to the project's database servers, where the units are compiled into an overall simulation. The project uses statistical simulation methodology that is a paradigm shift from traditional computing methods. The project utilizes graphics processing units (GPUs), central processing units (CPUs), and ARM processors like those on the Raspberry Pi for distributed computing and scientific research. is currently based at the University of Pennsylvania and led by Greg Bowman, a former student of Vijay Pande. ![]() This includes the process of protein folding and the movements of proteins, and is reliant on simulations run on volunteers' personal computers. Microsoft Windows, macOS, Linux, PlayStation 3 (discontinued as of firmware version 4.30)įoldingathome ( FAH or is a distributed computing project aimed to help scientists develop new therapeutics for a variety of diseases by the means of simulating protein dynamics.
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