3 papers
cs.CL2025
From Loop Nests to Silicon: Mapping AI Workloads onto AMD NPUs with MLIR-AIR
Erwei Wang, Samuel Bayliss, Andra Bisca +19
General-purpose compilers abstract away parallelism, locality, and synchronization, limiting their effectiveness on modern spatial architectures. As modern computing architectures…
cs.SE2025
Efficiency, Expressivity, and Extensibility in a Close-to-Metal NPU Programming Interface
Erika Hunhoff, Joseph Melber, Kristof Denolf +8
Accelerators such as neural processing units (NPUs) deliver an enticing balance of performance and efficiency compared to general purpose compute architectures. However, effectivel…
cs.DC2020
Proactive Serverless Function Resource Management
Erika Hunhoff, Shazal Irshad, Vijay Thurimella +2
This paper introduces a new primitive to serverless language runtimes called freshen. With freshen, developers or providers specify functionality to perform before a given function…