ScaLab is a research group focusing on designing and optimizing algorithms, software, and computer architecture to improve the scalability of future computing systems and accelerate scientific discovery. Our research revolve around large-scale parallel systems, including high-performance computing and data centers. Our main research areas include:
architecture and middleware for coordinated utilization of HPC, cloud, and edge computing
computation-memory disaggregation, disaggregated memory management, system software and runtime optimizations
near-memory processing, persistent memory (PM), hybrid memory systems, memory-intensive computing
Heterogeneous Parallel Systems
shared-memory systems, distributed-memory systems, and emerging heterogeneous systems with specialized accelerators, including GPUs, PIM, TPU, DPUs, etc.