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20062026
most citedAccelerating Scientific Computations with Mixed Precision Algorithms

206 citations · 805 across the 35 of their papers we have counts for

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21 papers · 1 filter

math.NA2026

Mixed-Precision Computing for Scientific Discovery: Formats, Co-Design, and Responsible Approximation

Emmanuel Agullo, Hartwig Anzt, Daniel Bauer +37

Reduced and mixed precision have moved from a niche optimization to a central design axis in scientific computing and engineering, driven by energy constraints, heterogeneous accel…

math.NA2026

How to grade the accuracy of the BLAS

James Demmel, Greg Henry, Igor Kozachenko +4

Motivated by accelerating machine learning (ML), many computer vendors and chip manufacturers are building accelerators for matrix multiplication, which save time and energy by ope…

math.NA2022

Numerical analysis of Givens rotation

Weslley da Silva Pereira, Ali Lotfi, Julien Langou

Generating 2-by-2 unitary matrices in floating-precision arithmetic is a delicate task. One way to reduce the accumulation error is to use less floating-point operations to compute…

math.NA2022★ 1 cited

A new deflation criterion for the QZ algorithm

Thijs Steel, Raf Vandebril, Julien Langou

The QZ algorithm computes the Schur form of a matrix pencil. It is an iterative algorithm and at some point, it must decide that an eigenvalue has converged and move on with anothe…

math.NA2021

Low-Synch Gram-Schmidt with Delayed Reorthogonalization for Krylov Solvers

Daniel Bielich, Julien Langou, Stephen Thomas +3

The parallel strong-scaling of Krylov iterative methods is largely determined by the number of global reductions required at each iteration. The GMRES and Krylov-Schur algorithms e…

math.NA2018★ 4 cited

Low synchronization GMRES algorithms

Kasia Swirydowicz, Julien Langou, Shreyas Ananthan +2

Communication-avoiding and pipelined variants of Krylov solvers are critical for the scalability of linear system solvers on future exascale architectures. We present low synchroni…