1. Almási, G., Padua, D.: MaJIC: compiling matlab for speed and responsiveness. In: ACM SIGPLAN Notices, vol. 37, pp. 294–303. ACM (2002)
2. Basili, V.R., Carver, J.C., Cruzes, D., Hochstein, L.M., Hollingsworth, J.K., Shull, F., Zelkowitz, M.V.: Understanding the high-performance-computing community: a software engineer’s perspective. IEEE Softw. 25(4), 29 (2008)
3. Bezanson, J., Edelman, A., Karpinski, S., Shah, V.B.: Julia: a fresh approach to numerical computing. arXiv preprint arXiv:1411.1607 (2014)
4. Bezanson, J., Karpinski, S., Shah, V.B., Edelman, A.: Julia: a fast dynamic language for technical computing. arXiv preprint arXiv:1209.5145 (2012)
5. Cárdenas-Rodríguez, J., Li, X., Whisenant, J.G., Barnes, S., Stollberger, R., Gore, J.C., Yankeelov, T.E.: The basic principles of dynamic contrast-enhanced magnetic resonance imaging. In: Bammer, R. (ed.) MR & CT Perfusion Imaging: Clinical Applications and Theoretical Principles, chapter 31. Lippincott Williams & Wilkins, Philadelphia (2016)