In this paper, we investigate a novel monolithic algebraic multigrid sol...
Sparse matrix representations are ubiquitous in computational science an...
Supercomputer architectures are trending toward higher computational
thr...
In this work, we investigate the convergence of numerical approximations...
Projection-based reduced order models are effective at approximating
par...
Anderson Acceleration (AA) is a method to accelerate the convergence of ...
Multilevel techniques are efficient approaches for solving the large lin...
Low-order finite-element discretizations are well-known to provide effec...
The cost of data movement on parallel systems varies greatly with machin...
We present a reduced basis (RB) method for parametrized linear elliptic
...
The MPI_Allreduce collective operation is a core kernel of many
parallel...
Parallel applications are often unable to take full advantage of emergin...
The efficient solution of sparse, linear systems resulting from the
disc...
The sparse matrix-vector multiply (SpMV) operation is a key computationa...