Dr. Inanc Senocak is an Associate Professor with the Department of Mechanical and Biomedical Engineering. Before joining Boise State in 2007, Dr. Senocak served for two years as a postdoctoral research associate at the Los Alamos National Laboratory where he worked in the area of stochastic source inversion of atmospheric plumes. Prior to that appointment he worked as a postdoctoral fellow at the Center for Turbulence Research, which is jointly operated by Stanford University and NASA. In addition to teaching and advising students, Dr. Senocak conducts research in such areas as computational fluid dynamics (CFD), wind power forecasting, parallel computing, cavitation and multiphase flows, turbulence modeling, atmospheric transport and dispersion.
Articles and Conference Proceedings
Stochastic Reconstruction of Multiple Source Atmospheric Contaminant Dispersion Events (with Derek Wade), Atmospheric Environment (2013)
Reconstruction of intentional or accidental release of contaminants into the atmosphere using concentration measurements from...
Large Eddy Simulations of Turbulent Incompressible Flows on GPU Clusters (with Rey DeLeon and Dana Jacobsen), Computing in Science & Engineering (2013)
Graphics processing unit (GPU) and clusters of GPUs have emerged as cost-effective general-purpose scientific computing...
Multi-Level Parallelism for Incompressible Flow Computations on GPU Clusters (with Dana A. Jacobsen), Parallel Computing (2013)
We investigate multi-level parallelism on GPU clusters with MPI-CUDA and hybrid MPI-OpenMP-CUDA parallel implementations, in...
Accelerating Incompressible Flow Computations with a Pthreads-CUDA Implementation on Small-Footprint Multi-GPU Platforms (with Julien C. Thibault), The Journal of Supercomputing (2012)
Graphics processor units (GPU) that are originally designed for graphics rendering have emerged as massively-parallel...
GPU-Accelerated Large-Eddy Simulation of Turbulent Channel Flows (with Rey DeLeon), 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition (2012)
High performance computing clusters that are augmented with cost and power efficient graphics processing unit...