M Clark

Dr. Clark’s background is in high energy physics, having completed doctoral research in Monte Carlo algorithms for lattice quantum chromodynamics in 2005, graduating from the University of Edinburgh. Upon subsequently moving to Boston University, Dr Clark focused upon adaptive multi-grid algorithms and symplectic integrators. It was during this time that research was initiated into harnessing GPUs for lattice QCD computation: this research has since evolved into the QUDA library. Dr. Clark spent 2009-2011 at Harvard University, continuing to work on algorithms for GPUs and many-core processors, with focus on signal processing. Dr. Clark moved to NVIDIA in 2011, and continues to work at the interface between applications, algorithms and parallel computation.
Avatar photo

Posts by M Clark

GPU Pro Tip
Simulation / Modeling / Design

CUDA Pro Tip: Kepler Texture Objects Improve Performance and Flexibility

The Kepler architecture introduces texture objects, a new feature that makes textures easier to use and higher performance. Texture References Textures are... 5 MIN READ