4 papers · 1 filter
Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs
Qilong Pan, Sameh Abdulah, Mustafa Abduljabbar +8
Emulating computationally intensive scientific simulations is crucial for enabling uncertainty quantification, optimization, and informed decision-making at scale. Gaussian Process…
GPU-Accelerated Modified Bessel Function of the Second Kind for Gaussian Processes
Zipei Geng, Sameh Abdulah, Ying Sun +3
Modified Bessel functions of the second kind are widely used in physics, engineering, spatial statistics, and machine learning. Since contemporary scientific applications, includin…
Accelerating Mixed-Precision Out-of-Core Cholesky Factorization with Static Task Scheduling
Jie Ren, Hatem Ltaief, Sameh Abdulah +1
This paper explores the performance optimization of out-of-core (OOC) Cholesky factorization on shared-memory systems equipped with multiple GPUs. We employ fine-grained computatio…
Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications
Xiran Zhang, Sameh Abdulah, Jian Cao +4
Addressing the statistical challenge of computing the multivariate normal (MVN) probability in high dimensions holds significant potential for enhancing various applications. One c…