10 citations · 11 across the 3 of their papers we have counts for
3 papers
Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators
Sean Kinzer, Soroush Ghodrati, Rohan Mahapatra +6
Deep learning accelerators address the computational demands of Deep Neural Networks (DNNs), departing from the traditional Von Neumann execution model. They leverage specialized h…
Comprehensive Benchmarking of Binary Neural Networks on NVM Crossbar Architectures
Ruirong Huang, Zichao Yue, Caroline Huang +2
Non-volatile memory (NVM) crossbars have been identified as a promising technology, for accelerating important machine learning operations, with matrix-vector multiplication being…
Enabling FPGAs for the Masses
Janarbek Matai, Dustin Richmond, Dajung Lee +1
Implementing an application on a FPGA remains a difficult, non-intuitive task that often requires hardware design expertise in a hardware description language (HDL). High-level syn…