Ian Foster

Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline

2017

The emerging field of materials informatics has the potential to greatly reduce time-to-market and development costs for new materials. The success of such efforts hinges on access to large, high-quality databases of material properties. However, …

Profiling and Predicting Application Performance on the Cloud

2018

Cloud providers continue to expand and diversify their collection of leasable resources to meet the needs of an increasingly wide range of applications. While this flexibility is a key benefit of the cloud, it also …

Tournament-Based Pretraining to Accelerate Federated Learning

2023

Advances in hardware, proliferation of compute at the edge, and data creation at unprecedented scales have made federated learning (FL) necessary for the next leap forward in pervasive machine learning. For privacy and network reasons, …

Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform

2023

Function-as-a-service (FaaS) is a promising execution environment for high-performance computing (HPC) and machine learning (ML) applications as it offers developers a simple way to write and deploy programs. Nowadays, GPUs and other accelerators are indispensable …

TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks

2024 · arXiv (Cornell University)

Task-based execution frameworks, such as parallel programming libraries, computational workflow systems, and function-as-a-service platforms, enable the composition of distinct tasks into a single, unified application designed to achieve a computational goal. Task-based execution frameworks abstract …