activity
20062026
most citedAccelerating Scientific Computations with Mixed Precision Algorithms

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

collaborators

36 papers

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…

cs.CC2024

Tightening I/O Lower Bounds through the Hourglass Dependency Pattern

Lionel Eyraud-Dubois, Guillaume Iooss, Julien Langou +1

When designing an algorithm, one cares about arithmetic/computational complexity, but data movement (I/O) complexity plays an increasingly important role that highly impacts perfor…

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…

cs.MS2022★ 1 cited

Proposed Consistent Exception Handling for the BLAS and LAPACK

James Demmel, Jack Dongarra, Mark Gates +7

Numerical exceptions, which may be caused by overflow, operations like division by 0 or sqrt(-1), or convergence failures, are unavoidable in many cases, in particular when softwar…