Accelerator design on FPGA

תכנון של מאיץ על FPGA

מספר פרויקט
251
סטטוס - הצעה
הצעה
אחראי אקדמי
שנה
2025

הרקע לפרויקט:

FPGAs are integrated circuits designed to be configured by the user after manufacturing. Unlike traditional fixed-function chips (such as ASICs), FPGAs offer a flexible hardware platform that can be programmed to implement various digital circuits, allowing for custom logic designs that can be tailored to specific applications.
FPGAs consist of an array of programmable logic blocks interconnected through reconfigurable routing resources. These logic blocks can be configured to perform simple logic gates or more complex functions, enabling the development of custom processing units, signal processing circuits, and even entire systems on a chip. Their parallel processing capabilities make them ideal for tasks requiring high computational throughput, such as image processing, machine learning acceleration, and real-time data analysis.
In this project we will utilize the FPGA platform to create a specific hardware accelerator.

מטרת הפרויקט:

The goal of this project is to design and implement a specialized hardware accelerator using Field Programmable Gate Arrays (FPGAs) to enhance the performance of a certain workload or program.
This project involves the development of a custom hardware architecture on an FPGA to execute specific operations with enhanced efficiency compared to traditional software implementations.

תכולת הפרויקט:

The design workflow includes:
1. Architectural Design: Crafting a high-level architecture for the accelerator, focusing on pipelining, parallelism, and resource optimization.
2. Implementation and Simulation: Writing and verifying Verilog code, ensuring the design meets functional and performance requirements through simulations and testbenches.
3. Synthesis and Deployment: Mapping the design onto the FPGA, optimizing for area, timing, and power metrics.
4. Performance Testing: Running benchmark tests and comparing results against software implementations on general-purpose processors to validate performance improvements.

קורסי קדם:

נדרש להירשם ל
83612 מעגלים ומערכות VLSI דיגיטליים

דרישות נוספות:

מעגלים משולבים ספרתיים 83313

מקורות:

https://mu.microchip.com/hello-fpga

תאריך עדכון אחרון : 20/11/2024