Large-scale computing systems are increasingly using accelerators such as GPUs to enable peta- and exa-scale levels of compute to meet the needs of Machine Learning (ML) and scientific computing applications. Given the widespread and growing use of ML, ...

Scientific workflows on High-Performance Computing (HPC) consist of multiple data processing and computing tasks with dependencies. Efficiently scheduling computing resources and multi-tier storage across workflow tasks is crucial for optimizing ...

This work introduces EcoLife, the first carbon-aware serverless function scheduler to co-optimize carbon footprint and performance. EcoLife builds on the key insight of intelligently exploiting multi-generation hardware to achieve high performance and ...