5 citations · 14 across the 10 of their papers we have counts for
6 papers · 1 filter
High Performance Multivariate Geospatial Statistics on Manycore Systems
Mary Lai O. Salvaña, Sameh Abdulah, Huang Huang +4
Modeling and inferring spatial relationships and predicting missing values of environmental data are some of the main tasks of geospatial statisticians. These routine tasks are acc…
Explicit coupling of acoustic and elastic wave propagation in finite difference simulations
Longfei Gao, David Keyes
We present a mechanism to explicitly couple the finite-difference discretizations of 2D acoustic and isotropic elastic wave systems that are separated by straight interfaces. Such…
Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs
Ilona Ambartsumyan, Wajih Boukaram, Tan Bui-Thanh +5
Hessian operators arising in inverse problems governed by partial differential equations (PDEs) play a critical role in delivering efficient, dimension-independent convergence for…
Exploiting Low Rank Covariance Structures for Computing High-Dimensional Normal and Student- Probabilities
Jian Cao, Marc G. Genton, David E. Keyes +1
We present a preconditioned Monte Carlo method for computing high-dimensional multivariate normal and Student- probabilities arising in spatial statistics. The approach combines…
Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization
Sameh Abdulah, Hatem Ltaief, Ying Sun +2
Geostatistics represents one of the most challenging classes of scientific applications due to the desire to incorporate an ever increasing number of geospatial locations to accura…
Performance / Complexity Trade-offs of the Sphere Decoder Algorithm for Massive MIMO Systems
A. Dabah, H. Ltaief, Z. Rezki +3
Massive MIMO systems are seen by many researchers as a paramount technology toward next generation networks. This technology consists of hundreds of antennas that are capable of se…