The exponential growth of geospatial data has transformed human geography, presenting both new opportunities and significant computational challenges. This chapter explores how high-performance geospatial computing (HPGC) addresses these challenges by leveraging advanced computational resources to efficiently process and analyze large-scale geospatial datasets. HPGC enables complex simulations, real-time analytics, and intricate spatial modeling, expanding the capabilities of human geography research. Key technological advancements discussed include parallel processing, graphics processing units (GPU) integration, and cloud-based infrastructures. The chapter also emphasizes the importance of computationally reproducible human geography, highlighting the need for results that can be independently verified using original data and code. HPGC facilitates reproducibility by supporting the sharing of comprehensive analytical workflows and enhancing transparency and collaboration. By examining the synergy between HPGC and reproducible practices, this chapter underscores how these advancements empower researchers to address complex spatial challenges effectively and advance the discipline.