2 papers
cs.AR2026
CXLRAMSim v1.0: System-Level Exploration of CXL Memory Expander Cards
Karan Pathak, David Atienza, Marina Zapater
The growing demands in the training and inference of Large Language Models (LLMs) are accelerating the adoption of scale-up systems that extend server shared memory through the use…
cs.AR2026
Mitigating the Bandwidth Wall via Data-Streaming System-Accelerator Co-Design
Qunyou Liu, Marina Zapater, David Atienza
Transformers have revolutionized AI in natural language processing and computer vision, but their large computation and memory demands pose major challenges for hardware accelerati…