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COE HPC

Bring High Performance Computing to Everyone in College of Engineering at Texas A&M University!

Texas A&M University College of Engineering

FPGAs in the Era of AI and Big Data

Posted on September 2, 2019 by Jian Tao

FPGAs in the Era of AI and Big Data

Register

by Lawrence Landis <lawrence.landis@intel.com>

102.B Student Computing Center, Texas A&M University
8:45AM – 5:00PM September 27th, 2019

Description:
Intel Programmable Logic Devices (FPGA) are used in a wide range of applications from industrial electronics, networking and AI acceleration. FPGAs are a staple of Electronic Engineering Curriculums due to their flexibility in describing electronic circuitry without requiring any semiconductor manufacturing tooling costs. Intel’s Programmable Solutions Group FPGA University Program engages with worldwide universities to promote FPGA education and research.

Learning Objectives:

  • At the conclusion of this workshop, you’ll have an understanding of how FPGAs function and common programming models used to implement a variety of FPGA based applications.
  • Register Transfer Language use model using the Verilog Hardware Description Language
  • Network on Chip and IP integration using the Platform Designer Integration tool
  • High Level Language Description through the use of C++ derivative languages like HLS and OpenCL
  • Overlay use models (OpenVino)
  • The student will gain the necessary skills to understand which applications should utilize which programming model to most efficiently balance development time, performance and cost.

Workshop Syllabus:

8:45 Registration
9:00: Lecture: FPGA applications and architecture, Quartus overview
10:00: Lab 1: Introduction to the Quartus Development Tool Suite using Verilog programming
11:15: Lecture: Embedded NIOS and Platform Designer
12:00: Lunch
1:00: Lab2: Embedded NIOS and Platform Designer
2:00: Lecture: High Level Design Usage Model for FPGAs – OpenCL and HLS
2:45: Lab3: High Level Design
3:30: Lecture: OpenVino overlay usage model
4:15: Lab4: OpenVino Vision and Neural Network Heterogeneous Computing
5:00 Conclude Workshop

Workshop Instructions:
The Quartus Lite free tool suite will be required for Labs 1 and 2. Please visit this site: http://fpgasoftware.intel.com/18.1/?edition=lite and install Quartus Prime and MAX 10 libraries.

Filed Under: Call for Participation, News, Tutorials, Workshops

Updates

  • Dr. Jian Tao joined the Department of Visualization September 7, 2021
  • Parallel Computing with MATLAB Hands-On Workshop February 25, 2021
  • TAMIDS Scientific Machine Learning Lab February 1, 2021
  • TAMU Master of Science in Data Science February 1, 2021
  • HPRC/TAMIDS Workshop: Data Visualization and Geospatial Analysis With R November 3, 2020

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