Essays about: "Floating Point Operations"

Showing result 1 - 5 of 24 essays containing the words Floating Point Operations.

  1. 1. Regularizing Vision-Transformers Using Gumbel-Softmax Distributions on Echocardiography Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alfred Nilsson; [2023]
    Keywords : Deep Learning; Vision-Transformers; Echocardiography; Feature Selection; Gumbel-Softmax; Concrete Autoencoders; Regression; Djupinlärning; Vision-Transformers; Ekokardiografi; Feature Selection; GumbelSoftmax; Concrete Autoencoders; Regression;

    Abstract : This thesis introduces an novel approach to model regularization in Vision Transformers (ViTs), a category of deep learning models. It employs stochastic embedded feature selection within the context of echocardiography video analysis, specifically focusing on the EchoNet-Dynamic dataset. READ MORE

  3. 2. Matrix Chain Multiplications and Temporary Storage

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Emil Nilsson; [2023]
    Keywords : ;

    Abstract :     Evaluating an expression in linear algebra using the known Basic Linear Algebra Subprograms library often requires temporary storage to hold intermediate results. However, matrix chain multiplication is typically analyzed in terms of time complexity, with the goal of minimizing the number of floating point operations (flops) for an expression. READ MORE

  4. 3. Leveraging Posits for the Conjugate Gradient Linear Solver on an Application-Level RISC-V Core

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : David Mallasén Quintana; [2022]
    Keywords : Computer Arithmetic; Conjugate Gradient; Posit; IEEE-754; Floating Point; High-Performance Computing; RISC-V; Datoraritmetik; Konjugerad Gradient; Posit; IEEE-754; Flytande Punkt; Högpresterande Beräkningar; RISC-V;

    Abstract : Emerging floating-point arithmetics provide a way to optimize the execution of computationally-intensive algorithms. This is the case with scientific computational kernels such as the Conjugate Gradient (CG) linear solver. Exploring new arithmetics is of paramount importance to maximize the accuracy and timing performance of these algorithms. READ MORE

  5. 4. Automatic Quality Assessment of Dermatology Images : A Comparison Between Machine Learning and Hand-Crafted Algorithms

    University essay from Linköpings universitet/Datorseende

    Author : Hasseli Zahra; Anwia Odisho Raamen; [2022]
    Keywords : ;

    Abstract : In recent years, pictures from handheld devices such as smartphones have been increasingly utilized as a documentation tool by medical practitioners not trained to take professional photographs. Similarly to the other types of image modalities, the images should be taken in a way to capture the vital information in the region of interest. READ MORE

  6. 5. Predictability of Optimal Core Distribution Based on Weight and Speedup

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Rasmus Eriksson; [2022]
    Keywords : Resource distribution; Core distribution; Shared memory; High performance computing; DGEMM; OpenMP;

    Abstract : Efficient use of hardware resources is a vital part of getting good results within high performance computing. This thesis explores the predictability of optimal CPU-core distribution between two tasks running in parallel on a shared-memory machine, with the intent to reach the shortest total runtime possible. READ MORE