Modern analog computers are attractive computational targets which have the potential to deliver significant performance and energy improvements over conventional digital hardware.
These hardware substrates have unique programming challenges which make them challenging to target. Programming languages and compilers techniques can help!
Find out how we discovered 220 previously unknown bugs in C and C++ compilers!
As quantum computers become more practical, there is a rich opportunity to advance the development of tools to assist in the process of programming them, both now and in the future. To encourage more PL-minded researchers to work in this exciting new area, we established the Workshop on Programming Languages for Quantum Computing (PLanQC).
We sometimes think of the number of passes in a compiler as a measure of the compiler’s complexity. But what if we could make compiler development more approachable by fully embracing the idea that a compiler should be structured as a large number of small passes, each performing a single specific task?
*Secure compilation* is an emerging field that puts together advances in programming languages, security, compilers, systems, formal verification, and hardware architectures. It aims to devise compilation chains that eliminate many of today’s security attacks, without sacrificing efficiency, and allowing sound reasoning about security properties in the source language.
