
This is the artifact for the EuroSys 2025 Paper: Samoyeds: Accelerating MoE Models with Structured Sparsity Leveraging Sparse Tensor Cores. The code is available in https://github.com/guqiqi/Samoyeds.git
FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Operating Systems, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Operating Systems (cs.OS), Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)
FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Operating Systems, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Operating Systems (cs.OS), Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
