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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)

Paper ID
13626
Venue
VLDB
Year
2024
Pagerank
4.2942813e-05
Overall Rank
9,731 | 32.31%
DOI
10.14778/3685800.3685845

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Rank Citing Paper Year Venue Pagerank
10,405 Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB 2025 SIGMOD 4.1945683e-05
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