Functional Parallelism on Workstation Clusters

We present a system for functional parallel computing on distributed memory machines with dynamic load balancing and recovery. Every node can perform any computation and is client and server at the same time. The nodes themself are multithreaded to overlap communication with computation and minimize latency. Furthermore, the calling convention is similar to threads on shared memory machines to allow a uniform usage of procedure calls on diierent architectures. The communication and computation is strictly separated for easy maintenance of the user program. Finally, we show an example and some timing results.