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@article{149727,
        author = {Shivansh Dixit},
        title = {Detailed study on Ray Tracing technology: Its Render Time and Energy Cost},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {1},
        pages = {606-614},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149727},
        abstract = {Optimizations for ray tracing have typically focused on decreasing the time taken to render each frame. However, in modern computer systems it's going to actually be more important to attenuate the energy used, or some combination of energy and render time. Understanding the time and energy costs per ray can enable the user to form conscious trade-offs between image quality and time/energy budget during a complete system. To facilitate this, during this paper we present an in-depth study of per-ray time and energy costs for ray tracing. Specifically, we use path tracing, weakened into distinct kernels, to hold out an in-depth study of the fine-grained contributions in time and energy for every ray over multiple bounces. As expected, we've observed that both the time and energy costs are highly correlated with data movement. Especially in large scenes that don't mostly slot in on-chip caches, accesses to DRAM not only account for the bulk of the energy use but also the corresponding stalls dominate the render time. Keywords Ray Tracing • Energy Efficiency • Graphics Processors • Memory Timing},
        keywords = {},
        month = {},
        }