Sampa (historically meant to stand for safe multi-processing architectures) is a collection of research projects aimed at making computer systems faster, more reliable, more energy efficient, supporting and motivating new applications. We are part of the Computer Science and Engineering Department at the University of Washington.
The nature of the research problems we are interested in is inter-disciplinary and so are we. Our projects include innovation in architecture, operating systems, compilers and programming languages.
Our paper on analog neural networks for approximate computing was accepted to ISCA'14. Great collaboration with GATech, UT Austin and MSR!
We just released our Grappa runtime system for large-scale irregular applications. Give it a try!
Our paper on probabilistic assertions was accepted to PLDI 2014.
We have two papers in ASPLOS'14: one on mapping low-level races to language-level races and one on fully-integrated 3D-stacked key-value stores.
Our work is supported by the National Science Foundation, the state of Washington, the C-FAR Center for Future Architectures, and generous gifts from Microsoft, Intel, Google, Qualcomm and NetApp.