activity
20082026
most citedAccelerating Scientific Computations with Mixed Precision Algorithms

206 citations · 264 across the 12 of their papers we have counts for

collaborators

16 papers

cs.RO2026

PingpongDuo: Agile Humanoid Table Tennis Doubles with Safe Team Coordination

Haoran Jiang, Yichao Zhong, Kai Zhang +6

Unlike singles, humanoid table tennis doubles requires teammates to strike in strict alternation while sharing a confined workspace. Rapid repositioning can compromise striking acc…

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…

cs.NI2026

Analyzing 10 Petabit/s Network Data with Accelerated Associative (Token) Arrays

Jeremy Kepner, Hayden Jananthan, LaToya Anderson +19

As networks expand and become an ever more critical infrastructure to modern society the need to analyze these networks with the highest regard for privacy is essential to ensure t…

cs.AI2025

AI Benchmark Democratization and Carpentry

Gregor von Laszewski, Wesley Brewer, Jeyan Thiyagalingam +28

Benchmarks are a cornerstone of modern machine learning, enabling reproducibility, comparison, and scientific progress. However, AI benchmarks are increasingly complex, requiring d…

math.NA2025★ 3 cited

HPL-MxP Benchmark: Mixed-Precision Algorithms, Iterative Refinement, and Scalable Data Generation

Jack Dongarra, Piotr Luszczek

We present a mixed-precision benchmark called HPL-MxP that uses both a lower-precision LU factorization with a non-stationary iterative refinement based on GMRES. We evaluate the n…

math.NA2025

The Stability of Block Eliminations and Additive Modifications

Neil Lindquist, Piotr Luszczek, Jack Dongarra

The block elimination with additive modifications (BEAM) method was recently proposed as a alternative to LU with partial pivoting requiring less communication. Because of the nove…

cs.MS2024

Interface for Sparse Linear Algebra Operations

Ahmad Abdelfattah, Willow Ahrens, Hartwig Anzt +32

The standardization of an interface for dense linear algebra operations in the BLAS standard has enabled interoperability between different linear algebra libraries, thereby boosti…

math.NA2023

CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT)

Maksim Melnichenko, Oleg Balabanov, Riley Murray +3

This paper develops and analyzes a new algorithm for QR decomposition with column pivoting (QRCP) of rectangular matrices with many more rows than columns. The algorithm carefully…

math.NA2023★ 17 cited

Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software

Riley Murray, James Demmel, Michael W. Mahoney +10

Randomized numerical linear algebra - RandNLA, for short - concerns the use of randomization as a resource to develop improved algorithms for large-scale linear algebra computation…

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…

cond-mat.mtrl-sci2021★ 13 cited

Materials Fingerprinting Classification

Adam Spannaus, Kody J. H. Law, Piotr Luszczek +6

Significant progress in many classes of materials could be made with the availability of experimentally-derived large datasets composed of atomic identities and three-dimensional c…

cs.DC2020

Task-Graph Scheduling Extensions for Efficient Synchronization and Communication

Seonmyeong Bak, Oscar Hernandez, Mark Gates +2

Task graphs have been studied for decades as a foundation for scheduling irregular parallel applications and incorporated in programming models such as OpenMP. While many high-perf…

math.NA2020

Improving the Performance of the GMRES Method using Mixed-Precision Techniques

Neil Lindquist, Piotr Luszczek, Jack Dongarra

The GMRES method is used to solve sparse, non-symmetric systems of linear equations arising from many scientific applications. The solver performance within a single node is memory…

cs.MS2020★ 24 cited

A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic

Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman +22

Within the past years, hardware vendors have started designing low precision special function units in response to the demand of the Machine Learning community and their demand for…

cs.DC2017

Interoperable Convergence of Storage, Networking, and Computation

Micah Beck, Terry Moore, Piotr Luszczek +1

In every form of digital store-and-forward communication, intermediate forwarding nodes are computers, with attendant memory and processing resources. This has inevitably stimulate…

cs.MS2008★ 206 cited

Accelerating Scientific Computations with Mixed Precision Algorithms

Marc Baboulin, Alfredo Buttari, Jack Dongarra +5

On modern architectures, the performance of 32-bit operations is often at least twice as fast as the performance of 64-bit operations. By using a combination of 32-bit and 64-bit f…