~/talk

A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications

name:Lei Chen
links:none on file
name:Shi Liu
links:none on file
linkedin:chenxiwang88
name:Haoran Ma
links:none on file
links:none on file
name:Zhe Wang
links:none on file
links:none on file
links:none on file
links:none on file
name:Shan Lu
links:none on file
name:Harry Xu
links:none on file
slides:none on file

Atlas implements a hybrid data plane that picks per‑page transfer mode using always‑on profiling (a per‑page card table measuring card access ratio) and a one‑bit pass flag to choose paging or object fetch at each access. Object fetching compacts hot objects into contiguous local space, the unified eviction policy moves pages back efficiently, and cross‑component invariants prevent races. Evaluation vs AFM and Fastswap shows average throughput gains of about 1.5× and 3.2× and tail‑latency reductions of one to two orders of magnitude when using remote memory.

AI-written summary · about

  1. 0:00Introduction to far memory
  2. 1:38Data access challenges
  3. 2:13Paging vs object paths
  4. 5:15The need for a hybrid approach
  5. 8:04Atlas design overview
  6. 9:28Profiling and path selection
  7. 11:57Synchronization and invariants
  8. 14:06Evaluation and conclusion
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