15 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads
Yasmine Omri, Ziyu Gan, Zachary Broveak +6
LLM agents are increasingly deployed on long-horizon tasks requiring sustained reasoning over extended interaction histories. Realizing this at scale requires agents to persistentl…
Hardware Generation and Exploration of Lookup Table-Based Accelerators for 1.58-bit LLM Inference
Robin Geens, Joran Heldens, Joren Dumoulin +1
Ternary weight quantization (e.g., BitNet b1.58) offers a promising path to mitigate the memory bandwidth bottleneck in Large Language Model (LLM) inference. However, conventional…
The Hyperscale Lottery: How State-Space Models Have Sacrificed Edge Efficiency
Robin Geens, Jonas De Schouwer, Marian Verhelst +1
The Hardware Lottery posits that research directions are dictated by available silicon compute platforms. We identify a derivative phenomenon, the Hyperscale Lottery, where model a…
MONET: Modeling and Optimization of neural NEtwork Training from Edge to Data Centers
Jérémy Morlier, Robin Geens, Stef Cuyckens +4
While hardware-software co-design has significantly improved the efficiency of neural network inference, modeling the training phase remains a critical yet underexplored challenge.…