Intelligent Data-Centric Emerging Architecture Lab

As the cost of data movement continues to increase relative to computation, data transfer has become a major performance and energy bottleneck in modern computing systems. We investigate memory-centric architectures that bring computation to where data resides, spanning Processing-in-Memory (PIM), near-data processing, and in-storage processing. Our research covers computation placement, memory–compute cooperation, and data movement optimization, with a particular focus on graph and sparse workloads whose irregular access patterns make them especially sensitive to memory bandwidth. We explore these designs through system-level architectural evaluation of data-intensive workloads. in DRAM-based memory systems and System-on-Chip architecture. who want to explore and uncover new knowledge to change the world.