Orca/modula-2

Orca/modula-2 was developed in the late 1980s as part of research into parallel computing. It aimed to provide a language and runtime system that facilitated distributed shared memory, allowing efficient process communication and synchronization across networked nodes. The development focused on extending Modula-2 to address the challenges of parallelism and distributed computing.

Strengths of Orca/modula-2 included its support for distributed shared memory and efficient parallel process communication. Weaknesses involved the complexity of debugging distributed applications and limited adoption. Competitors included other parallel programming languages and systems like MPI, PVM, and later, languages such as Java with its RMI and newer frameworks like Apache Spark.

An Orca/modula-2 expert must have strong proficiency in Modula-2 programming, a deep understanding of parallel computing principles, experience with distributed shared memory systems, and skills in debugging and optimizing distributed applications. Familiarity with network communication protocols and concurrency control mechanisms is also essential.