36 citations · 66 across the 8 of their papers we have counts for
3 papers · 1 filter
A Learned Cache Eviction Framework with Minimal Overhead
Dongsheng Yang, Daniel S. Berger, Kai Li +1
Recent work shows the effectiveness of Machine Learning (ML) to reduce cache miss ratios by making better eviction decisions than heuristics. However, state-of-the-art ML caches re…
Pond: CXL-Based Memory Pooling Systems for Cloud Platforms
Huaicheng Li, Daniel S. Berger, Stanko Novakovic +10
Public cloud providers seek to meet stringent performance requirements and low hardware cost. A key driver of performance and cost is main memory. Memory pooling promises to improv…
SOL: Safe On-Node Learning in Cloud Platforms
Yawen Wang, Daniel Crankshaw, Neeraja J. Yadwadkar +3
Cloud platforms run many software agents on each server node. These agents manage all aspects of node operation, and in some cases frequently collect data and make decisions. Unfor…