The goal of the Multiscale Architecture and Systems Team (MAST) is to make computing systems faster, greener, cheaper, and safer. We conduct research on hardware architectures, runtime management environments, system software, and programming models for systems ranging from cellphones to warehouse-scale datacenters. Our work is currently focusing on resource efficient cloud computing, hardware and software for scalable datacenters, and energy efficient compute and memory systems. MAST is led by professor Christos Kozyrakis and is part of the Electrical Engineering and Computer Science departments at Stanford University. We are also part of the Stanford Platform and Pervasive Parallelism labs.
Our work has been funded by NSF, DARPA, FCRP, Google, Intel, IBM, HP, SEDCL, PPL, the Okawa Foundation, seed funds from the two departments and the School of Engineering, and various student fellowships.