Sökning: "Hardware-Software Co-design"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden Hardware-Software Co-design.

1. 1. An Investigative Study of Testing Strategy and Test Case Creation in a Hardware-Software Co-design Environment Using Software Product Line Theory

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

   Författare :Stina Långström; [2021]
   Nyckelord :Variability analysis; Software product line; Testing; Test case categorization; Testing strategy; Feature modeling; Variationsanalys; Software product line; Testning; Testfallskategorisering; Funktionsmodellering;

   Sammanfattning : The requirements for software products have increased in recent years. This is both due to more complex technology as well as more requirements from the customers. An approach to solve this issue is by using a software product line (SPL) where reusable assets are developed to produce more tailor-made products with reduced time to market. LÄS MER

3. 2. Implementation of a Deep Learning Inference Accelerator on the FPGA.

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Shenbagaraman Ramakrishnan; [2020]
   Nyckelord :Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Deep Learning Accelerators; NVDLA; FPGA; Technology and Engineering;

   Sammanfattning : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. LÄS MER

4. 3. Programmable Address Generation Unit for Deep Neural Network Accelerators

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

   Författare :Muhammad Jazib Khan; [2020]
   Nyckelord :Address Generation Unit; Deep Neural Network Accelerators; Very Long Instruction Word; Application Specific Instruction Processor; Hardware-Software Co-design; Adressgenereringsenhet; Deep Neural Network Accelerators; Mycket långt instruktionsord; Applikationsspecifik instruktionsprocessor; Hårdvaruprogramvara Samdesign;

   Sammanfattning : The Convolutional Neural Networks are getting more and more popular due to their applications in revolutionary technologies like Autonomous Driving, Biomedical Imaging, and Natural Language Processing. With this increase in adoption, the complexity of underlying algorithms is also increasing. LÄS MER

5. 4. A Data Sorting Hardware Accelerator on FPGA

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

   Författare :Boyan Liu; [2020]
   Nyckelord :Data Sorting; Hardware Accelerator Algorithm; Block Circuit; FPGA;

   Sammanfattning : In recent years, with the rise of the application of big data, efficiency has become more important for data processing, and simple sorting methods require higher stability and efficiency in large-scale scenarios. This thesis explores topics related to hardware acceleration for data sorting networks of massive input resource or data stream, which leads to our three different design approaches: running the whole data processing fully on the software side (sorting and merging on PC), a combination of PC side and field- programmable gate arrays (FPGA) platform (hardware sorting with software merging), and fully hardware side (sorting and merging on FPGA). LÄS MER

7. 5. Simulating Energy-Efficient Hardware The Software Out-of-order Processor

   Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Simon Lövgren; [2017]
   Nyckelord :;

   Sammanfattning : The modern trends for technology scaling are not extremely bright. The cost of transistors have leveled off recently, effectively halting the ability to put additional transistors on a chip for the same price. In addition, Dennard Scaling, what has allowed for switching additional transistors whilst scaling to smaller nodes isslowing significantly. LÄS MER