Sökning: "RISC-V"

Visar resultat 1 - 5 av 28 uppsatser innehållade ordet RISC-V.

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

   Master-uppsats, Linköpings universitet/Elektroniska Kretsar och System

   Författare :YuYang Shen; [2023]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

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

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

   Författare :Dario Lo Presti Costantino; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

4. 3. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC

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

   Författare :Kristoffer Westring; Linus Svensson; [2023]
   Nyckelord :FPGA; ASIC; Near Memory Computing; RISC-V; Convolutional Neural Network; Technology and Engineering;

   Sammanfattning : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. LÄS MER

5. 4. Design and evaluation of architectures for efficient generation of control sequences

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

   Författare :David Albacete Segura; [2023]
   Nyckelord :Ultra millimeter-wave radar; ASIC; RISC-V; SoC; System on Chip; custom processor.; Technology and Engineering;

   Sammanfattning : Ultra millimeter-wave (mmWave) radars have become a vital sensor in automotive, surveillance, and consumer electronics thanks to its precise measurements and low power consumption. However, they required a precise control to coordinate their different modules and produce meaningful data. LÄS MER

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

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

   Författare :David Mallasén Quintana; [2022]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER