Workload Placement on Heterogeneous CPU-GPU Systems
Summary: Survey of workload placement strategies for heterogeneous CPU–GPU systems, analyzing tradeoffs among processor characteristics, workload traits, data locality, implementation variants, and runtime prediction for performance-cost optimization. Identifies open challenges and future research directions for multi-device code and placement policies. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Marcos N. L. Carvalho
- 2. Alkis Simitsis
- 3. Anna Queralt
- 4. Oscar Romero
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,405 | Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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