SC2024Top-tier venue
COAXIAL: A CXL-Centric Memory System for Scalable Servers
Albert Cho, Anish Saxena, Moinuddin Qureshi, Alexandros Daglis
Abstract
The memory system is a major performance determinant for server processors. Ever-growing core counts and datasets demand higher memory bandwidth and capacity. DDR—the dominant processor interface to memory—requires a large number of on-chip pins, which is a scarce resource, thus limiting the processor’s memory bandwidth. With limited bandwidth, multiple concurrent memory requests experience significant queuing delays that often overshadow DRAM’s service time and degrade performance. We present CoaXial, a memory system design for throughput-oriented manycore servers that replaces all of the processor’s DDR interfaces with the pin-efficient CXL interface, which offers higher bandwidth per pin. While such replacement incurs a considerable latency overhead, we demonstrate that, for many workloads, and with careful integration, CXL’s higher bandwidth more than offsets its latency premium. Our evaluation shows that CoaXial improves the performance of manycore throughput-oriented servers by on average and by up to .
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext c6e352cc-8fa1-40c2-850e-cb1463c1a0e2Cited by top-tier papers3
- CXL Memory Performance for In-Memory Data ProcessingMarcel Weisgut, Daniel Ritter, Pinar Tözün, Lawrence Benson et al.VLDB 2025 · 7 citations
- Break On Through to the Other Side: Pooling Memory Elastically with RamRyderYanbo Zhou, Erci Xu, Dongjoo Seo, Adam Manzanares et al.OSDI 2026
- MAC: Metadata Acceleration for Sustainable Performance in Big-Data Systems with CXL DRAMDusol Lee, Yan Sun, Houxiang Ji, Vinit Gupta et al.OSDI 2026
Builds on4
- Pond: CXL-Based Memory Pooling Systems for Cloud PlatformsHuaicheng Li, Daniel S. Berger, Lisa Hsu, Daniel Ernst et al.ASPLOS 2023 · 328 citations
- TPP: Transparent Page Placement for CXL-Enabled Tiered-MemoryHasan Al Maruf, Hao Wang, Abhishek Dhanotia, Johannes Weiner et al.ASPLOS 2023 · 255 citations
- Demystifying CXL Memory with Genuine CXL-Ready Systems and DevicesYan Sun, Yifan Yuan, Zeduo Yu, Reese Kuper et al.MICRO 2023 · 133 citations
- StarNUMA: Mitigating NUMA Challenges with Memory PoolingAlbert Cho, Alexandros DaglisMICRO 2024 · 11 citations
Related papers
- CTXNL: A Software-Hardware Co-designed Solution for Efficient CXL-Based Transaction ProcessingZhao Wang, Yiqi Chen, Cong Li, Yijin Guan et al.ASPLOS 2025 · 9 citations
- Systematic CXL Memory Characterization and Performance Analysis at ScaleJinshu Liu, Hamid Hadian, Yuyue Wang, Daniel S. Berger et al.ASPLOS 2025 · 47 citations
- Exploiting Burstiness to Improve Multi-Core Interference AnalysisJad Khatib, Dumitru Potop-Butucaru, Philippe BaufretonRTSS 2025
- Exploring Performance and Cost Optimization with ASIC-Based CXL MemoryYupeng Tang, Ping Zhou, Wenhui Zhang, Henry Hu et al.EuroSys 2024 · 40 citations
- CARINA: An Efficient CXL-Oriented Embedding Serving System for Recommendation ModelsPeiqi Yin, Qihui Zhou, Xiao Yan, Chao Wang et al.SIGMOD 2025 · 2 citations
