4 papers · 1 filter
Revisiting Cauchy-Schwarz Norm Bounds for SDC Detection in LLM Inference
Anton Altenbernd, Dylan Everingham, Philipp Wiesner +1
Large Language Models (LLMs) execute billions of floating-point operations per output token across many hardware accelerators. At this scale, hardware-induced faults can bypass sys…
Distributed LLM Pretraining During Renewable Curtailment Windows: A Feasibility Study
Philipp Wiesner, Soeren Becker, Brett Cornick +3
Training large language models (LLMs) requires substantial compute and energy. At the same time, renewable energy sources regularly produce more electricity than the grid can absor…
QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
Haci Ismail Aslan, Syed Muhammad Mahmudul Haque, Joel Witzke +1
Modern applications increasingly span across cloud, fog, and edge environments, demanding orchestration systems that can adapt to diverse deployment contexts while meeting Quality-…
Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum
Amjad Ullah, Andras Markus, Hacı İsmail Aslan +5
The efficient management of complex distributed applications in the Cloud-Edge continuum, including their deployment on heterogeneous computing resources and run-time operations, p…