C <scp>T</scp> X <scp>N</scp> L: A Software-Hardware Co-designed Solution for Efficient CXL-Based Transaction Processing
Transaction processing systems are the crux for modern data-center applications, yet current multi-node systems are slow due to network overheads. This paper advocates for Compute Express Link (CXL) as a network alternative, which enables low-latency and cache-coherent shared memory accesses. However, directly adopting standard CXL primitives leads to performance degradation due to the high cost of maintaining cross-node cache coherence. To address the CXL challenges, this paper introduces CTXNL, a software-hardware co-designed system that implements a novel hybrid coherence primitive tailored to the loosely coherent nature of transactional data. The core innovation of CTXNL is empowering transaction system developers with the ability to selectively achieve data coherence. Our evaluations on OLTP workloads demonstrate that CTXNL enhances performance, outperforming current network-based systems and achieves up to 2.08x greater throughput than vanilla CXL memory sharing architectures across universal transaction processing policies.
Authors
- Xingda Wei (ORCID: https://orcid.org/0000-0003-4983-6047)
- Zhaoyang Du (ORCID: https://orcid.org/0000-0002-1431-898X)
- Tianchan Guan (ORCID: https://orcid.org/0000-0002-0081-8158)
- Y. Chen
- Dimin Niu (ORCID: https://orcid.org/0000-0001-8440-3875)
- Guangyu Sun (ORCID: https://orcid.org/0000-0002-7315-6589)
- Cong Li (ORCID: https://orcid.org/0000-0001-7760-3254)
- Zhao Wang
- Yijin Guan (ORCID: https://orcid.org/0000-0002-8854-2132)
Institutions
- Shanghai Jiao Tong University (CN)
- Peking University (CN)
- Beijing Advanced Sciences and Innovation Center (CN)
- Alibaba Group (China) (CN)
Publication Details
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1145/3676641.3716244
- Citations
- 6
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 13.62