  Multiple signal classification algorithm (MUSICAL) provides a
super-resolution microscopy method. In the previous research, MUSICAL has
enabled data-parallelism well on a desktop computer or a Linux-based server.
However, the running time needs to be shorter. This paper will develop a new
parallel MUSICAL with high efficiency and scalability on a cluster of
computers. We achieve the purpose by using the optimal speed of the cluster
cores, the latest parallel programming techniques, and the high-performance
computing libraries, such as the Intel Threading Building Blocks (TBB), the
Intel Math Kernel Library (MKL), and the unified parallel C++ (UPC++) for the
cluster of computers. Our experimental results show that the new parallel
MUSICAL achieves a speed-up of 240.29x within 10 seconds on the 256-core
cluster with an efficiency of 93.86%. Our MUSICAL offers a high possibility for
real-life applications to make super-resolution microscopy within seconds.
