1 citations · 1 across the 5 of their papers we have counts for
5 papers
Accelerating Presto with GPUs
Daniel Bauer, Luis Garces-Erice, Deepak Majeti +6
We describe how we extended Presto to be GPU-aware. We focus on two critical challenges: efficiently moving data from storage to GPU operators, and enabling data exchange between o…
Towards Scalable Federated Container Orchestration: The CODECO Approach
Rute C. Sofia, Josh Salomon, Ray Carrol +17
This paper presents CODECO, a federated orchestration framework for Kubernetes that addresses the limitations of cloud-centric deployment. CODECO adopts a data-compute-network co-o…
Are Bias Evaluation Methods Biased ?
Lina Berrayana, Sean Rooney, Luis Garcés-Erice +1
The creation of benchmarks to evaluate the safety of Large Language Models is one of the key activities within the trusted AI community. These benchmarks allow models to be compare…
AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources
Frank Bagehorn, Kristina Brimijoin, Elizabeth M. Daly +17
The rapid evolution of generative AI has expanded the breadth of risks associated with AI systems. While various taxonomies and frameworks exist to classify these risks, the lack o…
Usage Governance Advisor: From Intent to AI Governance
Elizabeth M. Daly, Sean Rooney, Seshu Tirupathi +9
Evaluating the safety of AI Systems is a pressing concern for organizations deploying them. In addition to the societal damage done by the lack of fairness of those systems, deploy…