20 citations · 39 across the 8 of their papers we have counts for
8 papers
End-to-end performance of quantum-accelerated large-scale linear algebra workflows
Daiwei Zhu, Miguel Angel Lopez-Ruiz, François-Henry Rouet +5
Solving large-scale sparse linear systems is a challenging computational task due to the introduction of non-zero elements, or "fill-in". The Graph Partitioning Problem (GPP) arise…
Accelerating large-scale linear algebra using variational quantum imaginary time evolution
Willie Aboumrad, Daiwei Zhu, Claudio Girotto +6
The solution of large sparse linear systems via factorization methods such as LU or Cholesky decomposition, can be computationally expensive due to the introduction of non-zero ele…
Matrix-free construction of HSS representation using adaptive randomized sampling
Christopher Gorman, Gustavo Chávez, Pieter Ghysels +3
We present new algorithms for the randomized construction of hierarchically semi-separable matrices, addressing several practical issues. The HSS construction algorithms use a part…
An efficient hybrid tridiagonal divide-and-conquer algorithm on distributed memory architectures
Shengguo Li, Francois-Henry Rouet, Jie Liu +3
In this paper, an efficient divide-and-conquer (DC) algorithm is proposed for the symmetric tridiagonal matrices based on ScaLAPACK and the hierarchically semiseparable (HSS) matri…
An efficient basis set representation for calculating electrons in molecules
Jeremiah R. Jones, Francois-Henry Rouet, Keith V. Lawler +9
The method of McCurdy, Baertschy, and Rescigno, J. Phys. B, 37, R137 (2004) is generalized to obtain a straightforward, surprisingly accurate, and scalable numerical representation…
A distributed-memory package for dense Hierarchically Semi-Separable matrix computations using randomization
François-Henry Rouet, Xiaoye S. Li, Pieter Ghysels +1
We present a distributed-memory library for computations with dense structured matrices. A matrix is considered structured if its off-diagonal blocks can be approximated by a rank-…
An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling
Pieter Ghysels, Xiaoye S. Li, Francois-Henry Rouet +2
We present a sparse linear system solver that is based on a multifrontal variant of Gaussian elimination, and exploits low-rank approximation of the resulting dense frontal matrice…
Simultaneous analysis of large INTEGRAL/SPI datasets: optimizing the computation of the solution and its variance using sparse matrix algorithms
L. Bouchet, P. Amestoy, A. Buttari +2
Nowadays, analyzing and reducing the ever larger astronomical datasets is becoming a crucial challenge, especially for long cumulated observation times. The INTEGRAL/SPI X-gamma-ra…