Aasish Kumar Sharma

According to our database, Aasish Kumar Sharma authored at least 15 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

An Empirical Evaluation of Quantum-Inspired QUBO Methods for Heterogeneous HPC Workflow Mapping and Scheduling.

Aasish Kumar Sharma, Christian Boehme, Julian M. Kunkel

CoRR, May, 2026

DECICE: AI-Driven Scheduling and Digital Twin Integration for the Cloud-HPC-Edge Compute Continuum.

Aasish Kumar Sharma, Felix Stein, Mirac Aydin, Michael Bidollahkhani, Sachin P. Nanavati, Mohsen Seyedkazemi Ardebili, Giorgi Mamulashvili, Mojtaba Akbari, Jonathan Decker, Zoya Masih, Julian M. Kunkel

CoRR, May, 2026

Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems.

Aasish Kumar Sharma, Julian M. Kunkel

CoRR, May, 2026

A Treasure Trove of Performance: Analyzing the IO500 Submission Data.

Julian M. Kunkel, Aasish Kumar Sharma, Anila Ghazanfar, Sepehr Mahmoodian Hamedani, Sascha Safenreider

CoRR, May, 2026

2025

Evaluating Large Language Models for Workload Mapping and Scheduling in Heterogeneous HPC Systems.

Aasish Kumar Sharma, Julian M. Kunkel

CoRR, November, 2025

GrapheonRL: A Graph Neural Network and Reinforcement Learning Framework for Constraint and Data-Aware Workflow Mapping and Scheduling in Heterogeneous HPC Systems.

Aasish Kumar Sharma, Julian M. Kunkel

CoRR, June, 2025

A Review of Tools and Techniques for Optimization of Workload Mapping and Scheduling in Heterogeneous HPC System.

Aasish Kumar Sharma, Julian M. Kunkel

CoRR, May, 2025

AI Work Quantization Model: Closed-System AI Computational Effort Metric.

Aasish Kumar Sharma, Michael Bidollahkhani, Julian Martin Kunkel

CoRR, March, 2025

Teaching Reproducible Data Analysis for HPC Users - The Snakemake Teaching Alliance.

Malte Petersen, Sören Lukas Hellmann, Florian Böker, Fabian Brand, Aasish Kumar Sharma, Martín Leandro Paleico, Johannes Köster, Christian Meesters

Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2025

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming.

Aasish Kumar Sharma, Sanjeeb Prashad Pandey, Julian Martin Kunkel

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Ethical AI: Towards Defining a Collective Evaluation Framework.

Aasish Kumar Sharma, Dimitar Kyosev, Julian M. Kunkel

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Grapheon RL: A Graph Neural Network and Reinforcement Learning Framework for Constraint and Data-Aware Workflow Mapping and Scheduling in Heterogeneous HPC Systems.

Aasish Kumar Sharma, Julian M. Kunkel

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Workflow-Driven Modeling for the Compute Continuum: An Optimization Approach to Automated System and Workload Scheduling.

Aasish Kumar Sharma, Christian Boehme, Patrick Gelß, Ramin Yahyapour, Julian M. Kunkel

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

2024

A Comparison of HPC based Quantum Computing Simulators using Quantum Volume.

Christian Boehme, Lourens van Niekerk, Dhiraj Kumar, Aasish Kumar Sharma, Tino Meisel, Martín Leandro Paleico

Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024

HOSHMAND: Accelerated AI-Driven Scheduler Emulating Conventional Task Distribution Techniques for Cloud Workloads.

Michael Bidollahkhani, Aasish Kumar Sharma, Julian M. Kunkel

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024