Abstract: A system and method for memory allocation and management in non-uniform memory access (“NUMA”) architecture computing environments is disclosed. The system and method contemplates both hardware heterogeneity and allocation/deallocation attributes, with fine-grained memory management. NUMAlloc is centered on a binding-based memory management. On top of it, NUMAlloc proposes an “origin-aware memory management” to ensure the locality of memory allocations and deallocations, as well as a method called “incremental sharing” to balance the performance benefits and memory overhead of using transparent huge pages. It further introduced an interleaved heap to reduce the load imbalance among different nodes and an efficient mechanism for object movement. The system and method provides a scalable and increased performance alternative over other prior art memory allocators.