Presentation
Onyx: Efficient Transaction Processing with Real Processing-in-Memory Prototypes
DescriptionA transaction ensures an all-or-nothing guarantee for a set of read/write operations. While modern transaction processing systems provide atomicity and consistency for data center applications, their performance is fundamentally limited by a critical memory bandwidth bottleneck, caused by massive numbers of read/write operations. Processing-in-memory (PIM) architectures offer a promising solution with their high aggregate bandwidth. However, directly applying PIM becomes inefficient in practice due to load imbalance and costly data transfers among PIM processors. To bridge the gap between transaction processing and PIM architectures, this paper presents Onyx, a high-throughput transaction processing system that efficiently executes transactions on a real UPMEM PIM prototype. To fully leverage the high parallelism and bandwidth of PIM, Onyx orchestrates the transaction execution workflow to maximize local accesses while maintaining load balance across PIM processors. It further employs rank-level asynchronous data transfer to reduce communication overhead. Extensive evaluation using real-world YCSB and TPC-C benchmarks shows that Onyx significantly outperforms state-of-the-art transaction processing systems.
Event Type
Research Manuscript
TimeWednesday, July 295:18pm - 5:30pm PDT
LocationMtg Room 203C