Essays about: "Instruction design"

Showing result 1 - 5 of 116 essays containing the words Instruction design.

  1. 1. Designing for Learning in Enterprise Software - An explorative case study investigating admin user needs for learning, instruction, and information retrieval.

    University essay from Göteborgs universitet/Graduate School

    Author : Fredrik Horn; [2023-07-19]
    Keywords : Enterprise software; Employee Training; Admin Users; Learning; Instruction; Information retrieval; User-Centered Design; Innovation;

    Abstract : Enterprise software plays a vital role in an organization's path to operational excellence and competitiveness. Whether or not the company is able to reap the rewards of the enterprise software depends largely on the extent to which the software is adopted effectively, meaning used with a high level of proficiency by its users. READ MORE

  2. 2. RVSingle: A general purpose power efficient RISC-V for FPGAs

    University essay from Linköpings universitet/Elektroniska Kretsar och System

    Author : YuYang Shen; [2023]
    Keywords : ;

    Abstract : With the increasing need for low-cost, power-efficient computing units, RISC-Vas an open-standard Instruction Set Architecture (ISA) is becoming more and more popular in the industry. There are multiple open-source RISC-V soft processors like cva6, VEGA, NOEL-V and more. READ MORE

  3. 3. Optimizing the instruction scheduler of high-level synthesis tool

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

    Author : Zihao Xu; [2023]
    Keywords : Instruction scheduling; Scheduling algorithm; CGRA; High-level Sythnesis; SiLago; Algorithm-level Synthesis; Constraint programming; Instruktion schemaläggning; schemaläggning algoritm; CGRA; High-level Sythnesis; SiLago; Algoritm-nivå Synthesis; Constraint programmering;

    Abstract : With the increasing complexity of the chip architecture design for meeting different application requirements, the corresponding instruction scheduler of high-level synthesis tool needs to solve complex scheduling problems. Dynamically Reconfigurable Resource Array (DRRA) is a novel architecture based on Coarse-Grained Reconfigurable Architecture (CGRA) on SiLago platform, the instruction scheduler of Vesyla-II, the dedicated High-Level Synthesis (HLS) tool targets for DRRA needs to schedule the specific instruction sets designed for Distributed Two-level Control System (D2LC). READ MORE

  4. 4. Language Models as Evaluators : A Novel Framework for Automatic Evaluation of News Article Summaries

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

    Author : Celine Helgesson Hallström; [2023]
    Keywords : Natural Language Processing; Large Language Models; Automatic Text Evaluation; Text Summarization; Multilingualism; Naturlig Språkbehandling; Stora Språkmodeller; Automatisk Textutvärdering; Textsammanfattning; Flerspråkighet;

    Abstract : The advancements in abstractive summarization using Large Language Models (LLMs) have brought with it new challenges in evaluating the quality and faithfulness of generated summaries. This thesis explores a human-like automated method for evaluating news article summaries. READ MORE

  5. 5. Low-power Implementation of Neural Network Extension for RISC-V CPU

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

    Author : Dario Lo Presti Costantino; [2023]
    Keywords : Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

    Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE