45 citations · 52 across the 19 of their papers we have counts for
3 papers · 1 filter
Understanding Automatic Differentiation Pitfalls
Jan Hückelheim, Harshitha Menon, William Moses +3
Automatic differentiation, also known as backpropagation, AD, autodiff, or algorithmic differentiation, is a popular technique for computing derivatives of computer programs accura…
Fast And Automatic Floating Point Error Analysis With CHEF-FP
Garima Singh, Baidyanath Kundu, Harshitha Menon +3
As we reach the limit of Moore's Law, researchers are exploring different paradigms to achieve unprecedented performance. Approximate Computing (AC), which relies on the ability of…
QDOT: Quantized Dot Product Kernel for Approximate High-Performance Computing
James Diffenderfer, Daniel Osei-Kuffuor, Harshitha Menon
Approximate computing techniques have been successful in reducing computation and power costs in several domains. However, error sensitive applications in high-performance computin…