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SC2025顶会

HELM: Characterizing Unified Memory Accesses to Improve GPU Performance under Memory Oversubscription

Nathan Jones, Tyler N. Allen, Rong Ge

2025年份
5被引次数
1顶会引用

摘要

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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