Sökning: "multicore processing"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden multicore processing.

  1. 1. Recursion methods for solving the Schrödinger equation

    Kandidat-uppsats, Uppsala universitet/Materialteori

    Författare :Thor Lindberg; Anton Ljungar; Emy Engström; [2022]
    Nyckelord :;

    Sammanfattning : The purpose of this study is to approximate the local density of states(LDOS) for a metal block by solving the Schrödinger equation in an efficient way. To make the code more effective different methods were implemented, for example trying to parallelize the process and to run the code solely on a GPU (Graphic Processing Unit). LÄS MER

  3. 2. Analysis, Implementation and Evaluation of Direction Finding Algorithms using GPU Computing

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Regina Andersdotter; [2022]
    Nyckelord :GPU; GPU Computing; Direction Finding; GPU Suitability; CUDA; Multiple Signal Classification; Weighted Subspace Fitting; Correlative Interferometer; runtime; angle resolution; block size;

    Sammanfattning : Direction Finding (DF) algorithms are used by the Swedish Defence Research Agency (FOI) in the context of electronic warfare against radio. Parallelizing these algorithms using a Graphics Processing Unit (GPU) might improve performance, and thereby increase military support capabilities. LÄS MER

  4. 3. Predictable Multiprocessor Platform for Safety- Critical Real- Time Systems

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

    Författare :Páll Axel Sigurðsson; [2021]
    Nyckelord :Composability; FPGA; Multicore processing; Predictability; Real- time systems; System on chip; FPGA; Förutsägbarhet; Komposibilitet; Mångkärnig bearbetning; Realtidssystem; System på chip;

    Sammanfattning : Multicore systems excel at providing concurrent execution of applications, giving true parallelism where all cores can execute sequences of machine instructions at the same time. However, multicore systems come with their own sets of problems, most notably when cores in a system (or core tiles) share hardware components such as memory modules or Input/Output (IO) peripherals. LÄS MER

  5. 4. Squeezing and Accelerating Neural Networks on Resource Constrained Hardware for Real Time Inference

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

    Författare :Matteo Presutto; [2019]
    Nyckelord :Neural Networks; Quantization; DSP; Inference; neurala nätverk; kvantisering; DSP; inferens;

    Sammanfattning : As the internet user base increases over the years, so do the logistic difficulties of handling higher and higher volumes of data. This large amount of information is now being exploited by Artificial Intelligence algorithms to deliver value to our society on a global scale. LÄS MER

  7. 5. Utilizing Multi-core for optimized Data Exchange via VoIP

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

    Författare :Sohrab Azami Ghadim; [2018]
    Nyckelord :;

    Sammanfattning : In contemporary IT industry, Multi-tasking solutions are highly regarded as optimal solutions, because hardware is equipped with multi-core CPUs. With multicore technology, CPUs run with lower frequencies while giving same or better performance as a whole system of processing. LÄS MER