Sökning: "RISC"
Visar resultat 1 - 5 av 53 uppsatser innehållade ordet RISC.
1. RVSingle: A general purpose power efficient RISC-V for FPGAs
Master-uppsats, Linköpings universitet/Elektroniska Kretsar och SystemSammanfattning : 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
2. Low-power Implementation of Neural Network Extension for RISC-V CPU
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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 informationsteknikSammanfattning : 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
4. Design and evaluation of architectures for efficient generation of control sequences
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : 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
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)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