21 citations · 191 across the 67 of their papers we have counts for
76 papers
Performance Reporting of Mathematical Library Installations with LAAB - An Overview
Aravind Sankaran, Paolo Bientinesi
We present the Linear Algebra Aware Benchmarks (LAAB) framework for systematically assessing and reporting the performance of mathematical library installations on HPC systems. Mat…
Performance Benchmarking: Software for the Density Matrix Renormalization Group
Per Sehlstedt, Paolo Bientinesi, Lars Karlsson
The performance of scientific software often determines the scale of problems that can be solved in practice. As multiple implementations of the same algorithm emerge, systematic e…
Tensor Algebra Processing Primitives (TAPP): Towards a Standard for Tensor Operations
Jan Brandejs, Niklas Hörnblad, Edward F. Valeev +4
To address the absence of a universal standard interface for tensor operations, we introduce the Tensor Algebra Processing Primitives (TAPP), a C-based interface designed to decoup…
Compilation of Generalized Matrix Chains with Symbolic Sizes
Francisco López, Lars Karlsson, Paolo Bientinesi
Generalized Matrix Chains (GMCs) are products of matrices where each matrix carries features (e.g., general, symmetric, triangular, positive-definite) and is optionally transposed…
The Software Landscape for the Density Matrix Renormalization Group
Per Sehlstedt, Jan Brandejs, Paolo Bientinesi +1
The density matrix renormalization group (DMRG) algorithm is a cornerstone computational method for studying quantum many-body systems, renowned for its accuracy and adaptability.…
Enabling mixed-precision in spectral element codes
Yanxiang Chen, Pablo de Oliveira Castro, Paolo Bientinesi +2
Mixed-precision computing has the potential to significantly reduce the cost of exascale computations, but determining when and how to implement it in programs can be challenging.…