The development of sound and efficient tools that automatically perform floating-point round-
off error analysis is an active area of research with applications to embedded systems and …

Tensor compilers, essential for generating efficient code for deep learning models across
various applications, employ tensor graph rewrites as one of the key optimizations. These …

We address the challenges of scaling verification efforts to match the increasing complexity
and size of systems. We propose a research agenda aimed at building a performant proof …

Foundational Integration Verification of Diverse Software and Hardware Components Page 1
Foundational Integration Verification of Diverse Software and Hardware Components by …

Today's software is full of bugs and vulnerabilities. Formal verification provides a promising
remedy through mathematical specifications and machine-checked proofs that the …