2 citations · 2 across the 2 of their papers we have counts for
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cs.AR2025
Addressing memory bandwidth scalability in vector processors for streaming applications
Jordi Altayo, Paul Delestrac, David Novo +3
As the size of artificial intelligence and machine learning (AI/ML) models and datasets grows, the memory bandwidth becomes a critical bottleneck. The paper presents a novel extend…
cs.AR2023★ 2 cited
DaPPA: A Unified Data-Parallel Programming Framework for Efficient Processing-in-Memory Execution
Geraldo F. Oliveira, Alain Kohli, David Novo +5
Processing-in-memory (PIM) alleviates data-movement bottlenecks by placing computation near or inside memory. Two general-purpose PIM paradigms are now practical: processing-near-m…