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Repository-Scale Performance Characterization of the IO500 Benchmark
Aasish Kumar Sharma, Anila Ghazanfar, Sepehr Mahmoodianhamedani +2
The IO500 benchmark provides a common basis for evaluating high-performance computing (HPC) storage systems, while its growing submission repository also offers an opportunity to s…
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…