Institution:
Hecuba provides simple programming abstractions that let developers handle distributed data as if it were local memory. By annotating a Python class once, data is automatically stored and retrieved from scalable backends like databases or in-memory systems. This approach reduces data movement by bringing computation closer to where data resides, improving performance and efficiency. Its backend-independent design allows the same code to run across local machines, clusters, and cloud platforms, supporting portability. Energy savings come from reduced data transfers, although CO2 tracking is not yet included.