3 papers
cs.DC2026
Energy-Aware Scheduling Strategies for Partially-Replicable Task Chains on Heterogeneous Processors
Yacine Idouar, Adrien Cassagne, Laércio Lima Pilla +7
The arrival of heterogeneous (or hybrid) multicore architectures has brought new performance trade-offs for applications, and efficiency opportunities to systems. They have also in…
cs.AI2026
Benchmarking Deep Learning Convolutions on Energy-constrained CPUs
Enrique Galvez, Adrien Cassagne, Alix Munier +1
This work evaluates State-of-the-Art convolution algorithms for CPU-based CNN inference. Although most prior studies focus on GPUs or NPUs, CPU implementations remain comparatively…
cs.DC2025
Dalek: An Unconventional and Energy-Aware Heterogeneous Cluster
Adrien Cassagne, Noé Amiot, Manuel Bouyer
Dalek is an experimental compute cluster designed to evaluate the performance of heterogeneous, consumer-grade hardware for software design, prototyping, and algorithm development.…