Mitigating the Memory Bottleneck with Machine Learning-Driven and Data-Aware Microarchitectural Techniques

ArXi:2603.07683v1 Announce Type: cross Modern applications process massive data volumes that overwhelm the storage and retrieval capabilities of memory systems, making memory the primary performance and energy-efficiency bottleneck of computing systems. Although many microarchitectural techniques attempt to hide or tolerate long memory access latency, rapidly growing data footprints continue to outpace technology scaling, requiring effective solutions.