84 citations · 155 across the 7 of their papers we have counts for
5 papers · 1 filter
Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI
Aladin Djuhera, Fernando Koch, Alecio Binotto
Inference over large-scale foundation models within heterogeneous edge environments necessitates a fundamentally reconfigurable orchestration substrate. Static partitioning of mode…
Intelligent Orchestration of Distributed Large Foundation Model Inference at the Edge
Fernando Koch, Aladin Djuhera, Alecio Binotto
Large Foundation Models (LFMs), including multi-modal and generative models, promise to unlock new capabilities for next-generation Edge AI applications. However, performing infere…
Using Meta-heuristics and Machine Learning for Software Optimization of Parallel Computing Systems: A Systematic Literature Review
Suejb Memeti, Sabri Pllana, Alecio Binotto +2
While modern parallel computing systems offer high performance, utilizing these powerful computing resources to the highest possible extent demands advanced knowledge of various ha…
An SLA-based Advisor for Placement of HPC Jobs on Hybrid Clouds
Kiran Mantripragada, Leonardo P. Tizzei, Alecio P. D. Binotto +1
Several scientific and industry applications require High Performance Computing (HPC) resources to process and/or simulate complex models. Not long ago, companies, research institu…
A Self-adaptive Auto-scaling Method for Scientific Applications on HPC Environments and Clouds
Kiran Mantripragada, Alecio Binotto, Leonardo P. Tizzei
High intensive computation applications can usually take days to months to finish an execution. During this time, it is common to have variations of the available resources when co…