Contact & Openings
general purpose computing
A general-purpose in-memory computing architecture that addresses several key fundamental limitations of state-of-the-art reconfigurable data-flow architectures in supporting emerging machine learning and big data applications
Two Dimensional Associative Processor (2D AP)
A radically new computing paradigm to further advance FPGA-based graph processing architectures and fundamentally address their limitations.