Abstract. Bulk-Synchronous Parallel ML (BSML) is a functional dataparallel language to code Bulk-Synchronous Parallel (BSP) algorithms. It allows an estimation of execution time, avoids deadlocks and nondeterminism. This paper presents the implementation of a new primitive for BSML which can express divide-and-conquer algorithms.