activity
20182021
most citedEntropy Stable p-Nonconforming Discretizations with the Summation-by-Parts Property for the Compressible Euler equations

11 citations · 12 across the 4 of their papers we have counts for

collaborators

10 papers

cs.DC2021

H2Opus: A distributed-memory multi-GPU software package for non-local operators

Stefano Zampini, Wajih Boukaram, George Turkiyyah +2

Hierarchical -matrices are asymptotically optimal representations for the discretizations of non-local operators such as those arising in integral equations or from…

cs.DC20211 cited

H2OPUS-TLR: High Performance Tile Low Rank Symmetric Factorizations using Adaptive Randomized Approximation

Wajih Boukaram, Stefano Zampini, George Turkiyyah +1

Tile low rank representations of dense matrices partition them into blocks of roughly uniform size, where each off-diagonal tile is compressed and stored as its own low rank factor…

cs.DC2021

The PetscSF Scalable Communication Layer

Junchao Zhang, Jed Brown, Satish Balay +7

PetscSF, the communication component of the Portable, Extensible Toolkit for Scientific Computation (PETSc), is designed to provide PETSc's communication infrastructure suitable fo…

cs.MS2020

Toward Performance-Portable PETSc for GPU-based Exascale Systems

Richard Tran Mills, Mark F. Adams, Satish Balay +11

The Portable Extensible Toolkit for Scientific computation (PETSc) library delivers scalable solvers for nonlinear time-dependent differential and algebraic equations and for numer…

math.NA2020

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…

math.NA2019

Optimized geometrical metrics satisfying free-stream preservation

Irving Reyna Nolasco, Lisandro Dalcin, David C. Del Rey Fernandez +2

Computational fluid dynamics and aerodynamics, which complement more expensive empirical approaches, are critical for developing aerospace vehicles. During the past three decades,…