3 papers
cs.DC2025
Faster Distributed Inference-Only Recommender Systems via Bounded Lag Synchronous Collectives
Kiril Dichev, Filip Pawlowski, Albert-Jan Yzelman
Recommender systems are enablers of personalized content delivery, and therefore revenue, for many large companies. In the last decade, deep learning recommender models (DLRMs) are…
cs.DC2025
HiCR, an Abstract Model for Distributed Heterogeneous Programming
Sergio Miguel Martin, Luca Terracciano, Kiril Dichev +3
We present HiCR, a model to represent the semantics of distributed heterogeneous applications and runtime systems. The model describes a minimal set of abstract operations to enabl…
cs.DC2025
Distributed and heterogeneous tensor-vector contraction algorithms for high performance computing
Pedro J. Martinez-Ferrer, Albert-Jan Yzelman, Vicenç Beltran
The tensor-vector contraction (TVC) is the most memory-bound operation of its class and a core component of the higher-order power method (HOPM). This paper brings distributed-memo…