Adrian Sampson Cornell University Toward A Predictable System Stack For Reconfigurable Computing

Adrian Sampson Cornell Bowers My dissertation, hardware and software for approximate computing, surveys the approximate computing research landscape. while i’m still interested in approximate computing, i haven’t worked directly on it for a bit. ‪computer science, cornell university‬ ‪‪cited by 5,245‬‬ ‪approximate computing‬ ‪computer architecture‬ ‪programming languages‬ ‪energy efficiency‬ ‪hardware–software.

Introduction To Reconfigurable Computing Architectures Algorithms And Ucsc open source hardware and eda seminar: adrian sampson (cornell university). We present calyx, a new intermediate language (il) for compiling high level programs into hardware designs. calyx combines a hardware like structural language with a software like control flow. Us10735675b2: “configurable image processing system and methods for operating a configurable image processing system for multiple applications.” mark buckler, adrian sampson, and suren jayasuriya. I worked on approximate computing, the idea that computers can be more efficient if we let them make mistakes. see what’s going on in my research group, which is called capra.

Adrian Sampson Us10735675b2: “configurable image processing system and methods for operating a configurable image processing system for multiple applications.” mark buckler, adrian sampson, and suren jayasuriya. I worked on approximate computing, the idea that computers can be more efficient if we let them make mistakes. see what’s going on in my research group, which is called capra. Adrian sampson is an associate professor in the department of computer science at cornell university. he works on programming languages, computer architecture, and the abstractions that separate them. Recent papers (7) 2026 03 10 · arxiv (cornell university) · hardware and architecture parameterized hardware design with latency abstract interfaces adrian sampson prof assoc, computer science dept · bcis 2023 06 06 modular hardware design with timeline types adrian sampson prof assoc, computer science dept · bcis 2021 04 11. Most camera systems are optimized for photography, so they waste time and energy when they capture images for computer vision. this project designs a vision mode for cameras and their associated signal processing logic that saves energy by producing lower quality, less processed image data. Our lab is working on a programming language, dahlia, that uses a type system to restrict hls programs to a subset with predictable semantics and performance. based on dahlia, we are designing a compiler infrastructure to support the construction of new accelerator design languages.