10 papers
Global AI Regulations for FAIR and Ethics in High-Risk Use Cases: A Comparative Review
Aasish Kumar Sharma, Dimitar Koysev, Christopher Anich +2
AI governance is shifting from voluntary ethics to enforceable, risk-based regulation, yet cross-jurisdictional divergence creates compliance uncertainty for operators of high-stak…
An Empirical Evaluation of Quantum-Inspired QUBO Methods for Heterogeneous HPC Workflow Mapping and Scheduling
Aasish Kumar Sharma, Christian Boehme, Julian Kunkel
Heterogeneous HPC workflow scheduling under multiple hard constraints poses a challenging combinatorial optimization problem. Classical exact solvers guarantee optimality but face…
DECICE: AI-Driven Scheduling and Digital Twin Integration for the Cloud-HPC-Edge Compute Continuum
Aasish Kumar Sharma, Felix Stein, Mirac Aydin +8
This paper presents the DECICE project (Device Edge Cloud Intelligent Collaboration framEwork), a Horizon Europe Research and Innovation Action (Grant No. 101092582, December 2022…
Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems
Aasish Kumar Sharma, Julian M. Kunkel
AI-enabled services deployed in critical digital infrastructure are subject to governance obligations spanning transparency, accountability, fairness, and traceability. Compliance…
A Treasure Trove of Performance: Analyzing the IO500 Submission Data
Julian Kunkel, Aasish Kumar Sharma, Anila Ghazanfar +2
The IO500 benchmark has become the community standard for evaluating HPC storage system performance, yet the detailed data contained in its submission packages remains largely unex…
Evaluating Large Language Models for Workload Mapping and Scheduling in Heterogeneous HPC Systems
Aasish Kumar Sharma, Julian Kunkel
Large language models (LLMs) are increasingly explored for their reasoning capabilities, yet their ability to perform structured, constraint-based optimization from natural languag…