The use of high-performance computing to deliver complex computation is becoming increasingly popular in developing medical applications. This is helpful to both the community of researchers working in medical applications and also to computer scientists involved in improving methods that foster high-performance computing.

This paper describes a new method that uses high-performance computing for developing applications using Monte Carlo-based simulations. The introduction section describes the present state of applications that focus on Monte Carlo-based methods. In addition, the authors also describe the use of hardware that can support the required computation. This is followed by a detailed description of an open-source tool known as Monte Carlo modeling of light transport in multi-layered tissues (MCML). Using MCML to achieve the required parallelism is the paper’s topic of discussion. A detailed description of the method used to achieve the required computation is described in section 3. Section 4 discusses the experimentation and results gathered. The tables and figures included in this section describe the results of the experimentation. This section describes the use of different programming tools, such as OpenCL, CUDA, and Verily, to implement MCML.

Overall, this seems to be a well-written paper with a clear description of the methods, experimentation, and associated results.