222 citations · 243 across the 10 of their papers we have counts for
4 papers · 1 filter
Enabling Reusable Physical Design Flows with Modular Flow Generators
Alex Carsello, James Thomas, Ankita Nayak +4
Achieving high code reuse in physical design flows is challenging but increasingly necessary to build complex systems. Unfortunately, existing approaches based on parameterized Tcl…
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory
Weier Wan, Rajkumar Kubendran, Clemens Schaefer +11
Realizing today's cloud-level artificial intelligence functionalities directly on devices distributed at the edge of the internet calls for edge hardware capable of processing mult…
Compiling Halide Programs to Push-Memory Accelerators
Qiaoyi Liu, Dillon Huff, Jeff Setter +8
Image processing and machine learning applications benefit tremendously from hardware acceleration, but existing compilers target either FPGAs, which sacrifice power and performanc…
Automated Design Space Exploration of CGRA Processing Element Architectures using Frequent Subgraph Analysis
Jackson Melchert, Kathleen Feng, Caleb Donovick +5
The architecture of a coarse-grained reconfigurable array (CGRA) processing element (PE) has a significant effect on the performance and energy efficiency of an application running…