SharedObject

SharedObject facilitates parallel computing in R by creating R objects in shared memory space and sharing data across multiple R processes without memory duplication or data transfer overhead.

Key Features:

• Shared Memory Creation: Creates R objects in shared memory space accessible by multiple R processes.
• Memory Efficiency: Avoids memory duplication when sharing data across processes.
• Big Data Support: Enables sharing of large data objects across many clusters by eliminating data transfer overhead.

Scientific Applications:

• Parallel Computing in R: Supports parallel computing workflows by providing shared memory access for multiple R processes.
• Large-Scale Data Analysis: Facilitates analysis of big data objects in distributed or cluster computing environments.

Methodology:

The package creates R objects in shared memory space to allow multiple R processes to access the same data without duplication or transfer.