Julia is a young programming language that is designed for technical computing. Although Julia is dynamically typed it is very fast and usually yields C speed by utilizing a just-in-time compiler. Still, Julia has a simple syntax that is similar to Matlab, which is widely known as an easy-to-use programming environment. While Julia is very versatile and provides asynchronous programming facilities in the form of tasks (coroutines) as well as distributed multi-process parallelism, one missing feature is shared memory multi-threading. In this paper we present our experiment on introducing multi-threading support in the Julia programming environment. While our implementation has some restrictions that have to be taken into account when using threads, the results are promising yielding almost full speedup for perfectly parallelizable tasks.