Ray tracing is a computationally intensive task required by movie-makers to create the highly realistic images they require for motion pictures. GPUs currently dominate as hardware accelerators in the multi-billion dollar movie industry. However, FPGAs with their flexibility have the potential to be more power efficient accelerators. This paper investigates and proposes an FPGA acceleration platform to easily and efficiently explore parallelism in ray tracing on FPGAs. It is integrated with LuxRender, a modern and open rendering engine. A major focus is on the proposal of a cache architecture, given that memory bandwidth is identified as a bottleneck. For the design of the domain-specific cache, we study the typical memory access patterns to ray tracing data structures, i.e. acceleration hierarchy and scene primitives. The results lead to the proposal of a data structure specific cache (separating nodes from primitives) and a novel node cache replacement policy. We demonstrate that the proposed cache architecture successfully alleviates the memory bandwidth bottleneck and that the novel replacement policy can provide a good performance increase for small cache sizes and may work well as a complimentary cache along side a direct mapped cache. The evaluation further shows that scaling the number of traversal units with a cache provides an increase in performance over all scenes. We also demonstrate the energy and bandwidth efficiency of the proposed platform in comparison to a CPU and a GPU platform. (C) 2017 Elsevier Inc. All rights reserved.