Opportunities and Limitations of Hardware Timestamps in Concurrent Data Structures.

Designing high-performance, highly-concurrent linearizable data structures is complex, especially when bulk operations (e.g., range queries) are included. Relying on a single source of synchronization, such as a logical global timestamp, unequivocally eases the design of the synchronization schemes. However, such a design creates a single point of contention, and thus carries performance downsides. As a result, designers often face the dilemma between a simple design and a performance bottleneck. Recently, modern commodity architectures have enabled low-level mechanisms that guarantee that the timestamp registers of all CPUs are synchronized, thus enabling the use of hardware timestamps in data structure designs. Although recent work already exploits this, this work aims at understanding the opportunities and limitations of using hardware timestamps in existing data structure designs. We address this challenge by applying hardware timestamping to three recent state-of-the-art algorithms that use logical timestamps to support range queries in concurrent data structures. Our evaluation shows that the use of hardware timestamps does indeed improve performance compared to the original designs, achieving up to 5.5x improvement. More importantly, by removing the bottleneck of using global logical timestamps in these algorithms, we highlight the design choices that most significantly impact the use of hardware timestamps. Specifically, we show that the mechanism of labeling objects with timestamps plays an important role in maximizing the benefits of leveraging hardware timestamps.