TauBench 1.1: A Dynamic Benchmark for Graphics Rendering

PubDate: May 2023

Teams: Tampere University

Writers: Erfan Momeni Yazdi, Markku Mäkitalo, Julius Ikkala, Pekka Jääskeläinen

PDF: TauBench 1.1: A Dynamic Benchmark for Graphics Rendering

Abstract

Many graphics rendering algorithms used in both real-time games and virtual reality applications can get performance boosts by temporally reusing previous computations. However, algorithms based on temporal reuse are typically measured using trivial benchmarks with very limited dynamic features. To this end, in [1] we presented TauBench 1.0, a benchmark designed to stress temporal reuse algorithms. Now, we release TauBench version 1.1, which improves the usability of the original benchmark. In particular, these improvements reduce the size of the dataset significantly, resulting in faster loading and rendering times, and in better compatibility with 3D software that impose strict size limits for the scenes.