This paper presents provable work-optimal parallelizations of STL (Standard Template Library) algorithms based on the workstealing technique. Unlike previous approaches where a deque for each processor is typically used to locally store ready tasks and where a processor that runs out of work steals a ready task from the deque of a randomly selected processor, the current paper instead presents an original implementation of work-stealing without using any deque but a distributed list in order to bound overhead for task creations. The paper contains both theoretical and experimental results bounding the work/running time.