1 citations · 1 across the 5 of their papers we have counts for
6 papers
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…
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 Kunkel
Effective resource utilization and decreased makespan in heterogeneous High Performance Computing (HPC) environments are key benefits of workload mapping and scheduling. Tools such…
Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming
Aasish Kumar Sharma, Sanjeeb Prashad Pandey, Julian M. Kunkel
Convolutional Neural Networks (CNNs) are pivotal in computer vision and Big Data analytics but demand significant computational resources when trained on large-scale datasets. Conv…
Ethical AI: Towards Defining a Collective Evaluation Framework
Aasish Kumar Sharma, Dimitar Kyosev, Julian Kunkel
Artificial Intelligence (AI) is transforming sectors such as healthcare, finance, and autonomous systems, offering powerful tools for innovation. Yet its rapid integration raises u…
Workflow-Driven Modeling for the Compute Continuum: An Optimization Approach to Automated System and Workload Scheduling
Aasish Kumar Sharma, Christian Boehme, Patrick Gelß +2
The convergence of IoT, Edge, Cloud, and HPC technologies creates a compute continuum that merges cloud scalability and flexibility with HPC's computational power and specialized o…