activity
20172025
most citedHierarchical Matrix Operations on GPUs: Matrix-Vector Multiplication and Compression

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2025

Linear Complexity Direct Solver for Fine-Grained Parallel Architectures

Wajih Boukaram, David Keyes, Sherry Li +2

We present factorization and solution phases for a new linear complexity direct solver designed for concurrent batch operations on fine-grained parallel architectures, for matrices…

cs.MS2025

Adaptive Sketching Based Construction of H2 Matrices on GPUs

Wajih Halim Boukaram, Yang Liu, Pieter Ghysels +1

We develop a novel linear-complexity bottom-up sketching-based algorithm for constructing a matrix, and present its high performance GPU implementation. The construction algo…

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.DS2019★ 4 cited

Hierarchical Matrix Operations on GPUs: Matrix-Vector Multiplication and Compression

Wajih Halim Boukaram, George Turkiyyah, David E. Keyes

Hierarchical matrices are space and time efficient representations of dense matrices that exploit the low rank structure of matrix blocks at different levels of granularity. The hi…

cs.MS2017

Batched QR and SVD Algorithms on GPUs with Applications in Hierarchical Matrix Compression

Wajih Halim Boukaram, George Turkiyyah, Hatem Ltaief +1

We present high performance implementations of the QR and the singular value decomposition of a batch of small matrices hosted on the GPU with applications in the compression of hi…