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HELM: Characterizing Unified Memory Accesses to Improve GPU Performance under Memory Oversubscription
Nathan Jones, Tyler N. Allen, Rong Ge
2025Year
5Citations
1Top-tier citations
Abstract
Unified Memory (UM) technologies simplify memory management across CPU and GPU domains in GPU-accelerated heterogeneous architectures through transparent data migration. However, the default migration mechanism can severely degrade performance when applications oversubscribe GPU memory. Existing approaches to mitigating this performance degradation often fail to generalize, as they target specific application types, require specialized hardware, or integrate opaque classification methods.
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