Sökning: "Transactional Memory"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden Transactional Memory.

  1. 1. How software prefetching affects transactional memory applications with high commit ratio

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Max Gabrielsson; [2022]
    Nyckelord :;

    Sammanfattning : Transactional Memory is a concurrency control model that allows programmers to write code that access shared data consistently by marking sequential multi-operation regions as atomic transactions. While transactions make programming easier, the lack of progress guarantees as well as the cost of re-executing a conflicting transaction leaves room for improvement. LÄS MER

  3. 2. Exploring Short Text Clustering for Transactional Data

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Staffan Annerwall; [2021]
    Nyckelord :short text; clustering; classification; transactional data;

    Sammanfattning : The digital revolution has led to an increase in digitization of transactional information. Due to the large amount of data, the transactions must be categorized such that an overview of spending can be obtained. LÄS MER

  4. 3. Evaluating Memory Models for Graph‐Like Data Structures in the Rust Programming Language: Performance and Usabiliy

    Master-uppsats, Linköpings universitet/Programvara och system

    Författare :Rasmus Viitanen; [2020]
    Nyckelord :Rust; graphs; performance; usability; data structures; memory models;

    Sammanfattning : Representing graphs in Rust is a problematic issue, as ownership forbids typical representations found in e.g. C++. A common approach is to use reference counting to represent graphs, but this can easily lead to memory leaks if cycles are present in the graph. LÄS MER

  5. 4. Analysis of Transactional Data with Long Short-Term Memory Recurrent Neural Networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sabeen Nawaz; [2020]
    Nyckelord :LSTM; Auto-encoder decoder; anomaly detection; K-means; clustering; Principal Component Analysis;

    Sammanfattning : An issue authorities and banks face is fraud related to payments and transactions where huge monetary losses occur to a party or where money laundering schemes are carried out. Previous work in the field of machine learning for fraud detection has addressed the issue as a supervised learning problem. LÄS MER

  7. 5. Extending Distributed Shared Memory with Transactional Memory Support

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Sven Lundgren; [2019]
    Nyckelord :;

    Sammanfattning : Parallel programming has become increasingly important both as a programming skill and as a research topic over the last decades. Multicore computers and mobile devices are part of our daily lives, and computer clusters facilitate research in many areas all over the world. LÄS MER