Results 31 to 40 of about 43,136 (260)
A practical streaming approximate matrix multiplication algorithm
Journal of King Saud University: Computer and Information Sciences, 2022 Approximate Matrix Multiplication (AMM) has emerged as a useful and computationally inexpensive substitute for actual multiplication of large matrices. Randomized as well as deterministic solutions to AMM were provided in the past.
Deena P. Francis, Kumudha Raimond
doaj +1 more source
Hyper-systolic matrix multiplication [PDF]
Parallel Computing, 2001 A novel parallel algorithm for matrix multiplication is presented. The hyper-systolic algorithm makes use of a one-dimensional processor abstraction. The procedure can be implemented on all types of parallel systems. It can handle matrix-vector multiplications as well as transposed matrix products.
Thomas Lippert +3 more
openaire +4 more sources
Practical aspects of fast matrix multiplication [PDF]
Archives of Control SciencesThe aim of this paper is to analyze the development of algorithms for Fast Matrix Multiplication (FMM) in both historical and technical contexts, as well as to compare available solutions on consumer-grade computer hardware.
Marek Kubale, Damian Niemczyk
doaj +1 more source
An Approximate GEMM Unit for Energy-Efficient Object Detection
Sensors, 2021 Edge computing brings artificial intelligence algorithms and graphics processing units closer to data sources, making autonomy and energy-efficient processing vital for their design.
Ratko Pilipović +4 more
doaj +1 more source
FIELD FORMATION OF CIRCULANT MATRIX
Barekeng, 2020 The axioms of fields satisfy over sets of numbers such as , , and . Generally, a set matrix is not commutative for binary multiplication properties, such that cannot satisfy of field axioms.
Mahfudz Reza Fahlevi
doaj +1 more source
Runtime Adaptive Matrix Multiplication for the SW26010 Many-Core Processor
IEEE Access, 2020 The study of matrix multiplication on the emerging SW26010 processor is highly significant for many scientific and engineering applications. The state-of-the-art work from the swBLAS library, called SWMM, focuses mainly on the infrequent case involving ...
Zheng Wu +4 more
doaj +1 more source
Digital in-memory stochastic computing architecture for vector-matrix multiplication
Frontiers in Nanotechnology, 2023 The applications of the Artificial Intelligence are currently dominating the technology landscape. Meanwhile, the conventional Von Neumann architectures are struggling with the data-movement bottleneck to meet the ever-increasing performance demands of ...
Shady Agwa, Themis Prodromakis
doaj +1 more source
FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
CybersecurityMatrix operation is one of the most basic and practical operations in statistical analysis and machine learning. The secure matrix operation over homomorphic encryption technology can protect the confidentiality of input data. However, it has not come up
Yatao Yang +3 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source