At the International Conference on Programming Language Design and Implementation (2022), scientists from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) published a research paper titled, 'Exocompilation for productive programming of hardware accelerators' that proposes a new programming language, 'Exo', which can be used for writing high-performance code on hardware accelerators. Exo is a domain-specific programming language that helps low-level performance engineers transform very simple programs which specify what they want to compute into very complex programs that do the same thing as the specification but much faster. It is both a programming language and a compiler and allows custom hardware instructions, specialised memories and accelerator configuration states to be defined in user libraries. Exo builds on the idea of user scheduling to externalise hardware mapping and optimisation decisions. Accelerators like GPUs and image signal processors play an increasingly important role in modern computer systems.

A company's technology stack functions much like an orchestra; many parts working together in harmony, but if one instrument is too slow or out of tune, the entire company runs less effectively. Concertio, previously known as DatArcs, serves as an AI-driven maestro that optimizes and orchestrates your software and hardware deployments. When deploying and maintaining your server, there are a myriad of options that can be configured and optimizing this architecture across your technology stack ensures that the show runs smoother. AlleyWatch chatted with CEO and cofounder Tomer Morad to learn more about the company, the need its solving, and where it plans to go next. In a nutshell, we provide AI-powered system performance optimization tools for boosting the performance of hardware and software.