Name
Abstract | ||
|---|---|---|
Cache line flushing (CLF) is a fundamental building block for programming persistent memory (PM). CLF is prevalent in PM-aware workloads to ensure crash consistency. It also imposes high overhead. Extensive works have explored persistency semantics and CLF policies, but few have looked into the CLF mechanism. This work aims to improve the performance of CLF mechanism based on the performance characterization of well-established workloads on real PM hardware. We reveal that the performance of CLF is highly sensitive to the concurrency of CLF and cache line status.
We introduce Ribbon, a runtime system that improves the performance of CLF mechanism through concurrency control and proactive CLF. Ribbon detects CLF bottleneck in oversupplied and insufficient concurrency, and adapts accordingly. Ribbon also proactively transforms dirty or non-resident cache lines into clean resident status to reduce the latency of CLF. Furthermore, we investigate the cause for low dirtiness in flushed cache lines in in-memory database workloads. We provide cache line coalescing as an application-specific solution that achieves up to 33.3% (13.8% on average) improvement. Our evaluation of a variety of workloads in four configurations on PM shows that Ribbon achieves up to 49.8% improvement (14.8% on average) of the overall application performance.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3410463.3414625 | PACT '20: International Conference on Parallel Architectures and Compilation Techniques
Virtual Event
GA
USA
October, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-8075-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |