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Leadership supercomputers feature a diversity of storage, from node-localpersistent memory and NVMe SSDs to network-interconnected flash memory and HDD.Memory mapping files on different tiers of storage provides a uniform interfacein applications. However, system-wide services like mmap are optimized forgenerality and lack flexibility for enabling application-specificoptimizations. In this work, we present Umap to enable user-space pagemanagement that can be easily adapted to access patterns in applications andstorage characteristics. Umap uses the userfaultfd mechanism to handle pagefaults in multi-threaded applications efficiently. By providing a data objectabstraction layer, Umap is extensible to support various backing stores. Thedesign of Umap supports dynamic load balancing and I/O decoupling for scalableperformance. Umap also uses application hints to improve the selection ofcaching, prefetching, and eviction policies. We evaluate Umap in fivebenchmarks and real applications on two systems. Our results show thatleveraging application knowledge for page management could substantiallyimprove performance. On average, Umap achieved 1.25 to 2.5 times improvementusing the adapted configurations compared to the system service.

UMap: Enabling Application-driven Optimizations for Page Management