  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.
