PhD Position in ML Accelerator Programming for HPC and Scientific Computing

Your function

The growing computational demands of Machine Learning (ML) have led to the rise of spatial devices explicitly designed for ML workloads, such as the Cerebras Wafer Scale Engine, AMD Versal AI Engine, and Tenstorrent Blackhole.

Although these accelerators can offer performance and efficiency gains to application domains beyond ML (e.g., computational sciences, big data analytics, graph processing), their potential in these areas remains unexplored. This is largely due to the lack of comprehensive software ecosystems, making them difficult for experts to use and inaccessible to domain scientists.

In this PhD project, you will help bridge this gap by demonstrating best practices and by developing programming tools and methodologies that democratize access to ML accelerators and other spatial devices for the wider scientific community.

Your duties

As a PhD student, you will develop and lead original research. Your w...