🤖 AI Summary
Rising server CPU core counts have intensified memory bandwidth demand, yet per-core memory bandwidth continues to decline due to physical constraints on off-chip pin count and signaling rate scalability. Concurrently, fixed, static allocation of memory and I/O pins fragments bandwidth resources, hindering coordinated and efficient utilization. To address these challenges, this paper proposes SURGE—a novel architecture enabling software-controllable, dynamic sharing of memory and I/O bandwidth for the first time. Leveraging the CXL interconnect protocol, SURGE integrates hardware interface resource sharing, dynamic bandwidth multiplexing, and fine-grained traffic scheduling to eliminate traditional bandwidth silos. Evaluated on bandwidth-constrained servers, SURGE delivers up to a 1.3× speedup for memory-intensive workloads and significantly improves system-wide bandwidth utilization.
📝 Abstract
The continual increase of cores on server-grade CPUs raises demands on memory systems, which are constrained by limited off-chip pin and data transfer rate scalability. As a result, high-end processors typically feature lower memory bandwidth per core, at the detriment of memory-intensive workloads. We propose alleviating this challenge by improving the utility of the CPU's limited pins. In a typical CPU design process, the available pins are apportioned between memory and I/O traffic, each accounting for about half of the total off-chip bandwidth availability. Consequently, unless both memory and I/O are simultaneously highly utilized, such fragmentation leads to underutilization of the valuable off-chip bandwidth resources. An ideal architecture would offer I/O and memory bandwidth fungibility, allowing use of the aggregate off-chip bandwidth in the form required by each workload.
In this work, we introduce SURGE, a software-supported architectural technique that boosts memory bandwidth availability by salvaging idle I/O bandwidth resources. SURGE leverages the capability of versatile interconnect technologies like CXL to dynamically multiplex memory and I/O traffic over the same processor interface. We demonstrate that SURGE-enhanced architectures can accelerate memory-intensive workloads on bandwidth-constrained servers by up to 1.3x.