Most pseudorandom number generators (PRNGs) scale poorly to massively parallel high-
performance computation because they are designed as sequentially dependent state …

Algebraic multigrid methods for large, sparse linear systems are a necessity in many
computational simulations, yet parallel algorithms for such solvers are generally …

Procedural noise functions are widely used in Computer Graphics, from off-line rendering in
movie production to interactive video games. The ability to add complex and intricate details …

We propose a new DRAM-based true random number generator (TRNG) that leverages
DRAM cells as an entropy source. The key idea is to intentionally violate the DRAM access …

Procedural noise functions are widely used in computer graphics, from off‐line rendering in
movie production to interactive video games. The ability to add complex and intricate details …

Noise is an essential tool for texturing and modeling. Designing interesting textures with
noise calls for accurate spectral control, since noise is best described in terms of spectral …

Sampling is important for a variety of graphics applications include rendering, imaging, and
geometry processing. However, producing sample sets with desired efficiency and blue …

We solve the problem of generating a uniform Poisson-disk sampling that is both maximal
and unbiased over bounded non-convex domains. To our knowledge this is the first …

Random number generation is an important task in a wide variety of critical applications
including cryptographic algorithms, scientific simulations, and industrial testing tools. True …

In this paper, we survey recent approaches to blue-noise sampling and discuss their
beneficial applications. We discuss the sampling algorithms that use points as sampling …