Framework for Augmenting Main Memory with CXL-connected Emerging Memory Alternatives

The rapid evolution of memory technologies and the advent of Compute Express Link (CXL) have opened up new possibilities for scaling main memory by enabling hybrid memory systems with pooled and shared content. System-level evaluation of new memory systems during the early development stage is important for the enablement and further integration of new memory and interconnect technologies. However, existing solutions do not offer a framework neither for emerging memory protocols nor for novel memory technologies. This paper introduces CXL-HMEM to evaluate emerging CXL-based hybrid main memory architectures by applying the System Technology Co-Optimization (STCO) technique. The framework provides flexible performance metrics, workload simulation, and memory traffic analysis to assess system performance under various hybrid memory configurations, including DRAM and tiered memory hierarchies. Key features include support for memory technologies such as IGZO-based DRAM (IGZO) and FeRAM, workload scalability, and an integrated model of the CXL behavior. CXL-HMEM shows that emerging memories can improve system bandwidth and energy consumption by 7%, while having potential to further mitigate particular bottlenecks. CXL-based hybrid main memory can speed up the memory access time by >2× compared to conventional approaches of main memory extension.

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Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043992
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
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article

Framework for Augmenting Main Memory with CXL-connected Emerging Memory Alternatives

Emil Karimov, M. Rosmeulen, Dwaipayan Biswas, Hyungrock Oh et al.
Parallel Computing and Optimization Techniques
article

Framework for Augmenting Main Memory with CXL-connected Emerging Memory Alternatives

Emil Karimov, M. Rosmeulen, Dwaipayan Biswas, Hyungrock Oh, Khakim Akhunov, Arvind Sharma, Julien Ryckaert, James Myers
article en

Abstract

The rapid evolution of memory technologies and the advent of Compute Express Link (CXL) have opened up new possibilities for scaling main memory by enabling hybrid memory systems with pooled and shared content. System-level evaluation of new memory systems during the early development stage is important for the enablement and further integration of new memory and interconnect technologies. However, existing solutions do not offer a framework neither for emerging memory protocols nor for novel memory technologies. This paper introduces CXL-HMEM to evaluate emerging CXL-based hybrid main memory architectures by applying the System Technology Co-Optimization (STCO) technique. The framework provides flexible performance metrics, workload simulation, and memory traffic analysis to assess system performance under various hybrid memory configurations, including DRAM and tiered memory hierarchies. Key features include support for memory technologies such as IGZO-based DRAM (IGZO) and FeRAM, workload scalability, and an integrated model of the CXL behavior. CXL-HMEM shows that emerging memories can improve system bandwidth and energy consumption by 7%, while having potential to further mitigate particular bottlenecks. CXL-based hybrid main memory can speed up the memory access time by >2× compared to conventional approaches of main memory extension.

IMEC (BE)
Openalex Percentile: Top 85%
Parallel Computing and Optimization Techniques
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