2024/03/08 by Mako Bates, Joseph P. Near, Bates, Mako +1
Computer Science · #Artificial Intelligence in Games #Distributed #FOS: Computer and information sciences #Parallel #Programming Languages (cs.PL) #Reinforcement Learning in Robotics #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2403.05417
openalex publication_date 2024/03/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Concurrent distributed systems are notoriously difficult to construct and reason about. Choreographic programming is a recent paradigm that describes a distributed system in a single global program called a choreography. Choreographies simplify reasoning about distributed systems and can ensure deadlock freedom by static analysis. In previous choreographic programming languages, each value is located at a single party, and the programmer is expected to insert special untyped "select" operations to ensure that all parties follow the same communication pattern. We present He-Lambda-Small, a new choreographic programming language with Multiply Located Values. He-Lambda-Small allows multicasting to a set of parties, and the resulting value will be located at all of them. This approach enables a simple and elegant alternative to "select": He-Lambda-Small requires that the guard for a conditional be located at all of the relevant parties. In He-Lambda-Small, checking that a choreography is well-typed suffices to show that it is deadlock-free. We present several case studies that demonstrate the use of multiply-located values to concisely encode tricky communication patterns described in previous work without the use of "select" or redundant communication.