FPGA-based Accelerated Cloud Computing with SDAccel - Xilinx Workshop

FPGA-based Accelerated Cloud Computing with SDAccel
Parimal Patel

Sunday December 2th, 9:00am-6:00pm

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The increasing computational requirements of next-generation Cloud and High-Performance Computing (HPC) applications are pushing the adoption of accelerated computing based on heterogeneous architectures into mainstream, as traditional CPU technology is unable to keep pace. Xilinx FPGAs are now available, in two different sizes that include up to eight Virtex® UltraScale+ VU9P, on the Amazon Elastic Compute Cloud (EC2) F1 instances, which are designed to accelerate data center workloads, including machine learning inference, data analytics, video processing, and genomics. Furthermore, Amazon Web Services offers the SDAccel™ Development Environment for cloud acceleration, enabling the user to easily and productively develop accelerated algorithms and then efficiently implement and deploy them onto the heterogeneous CPU-FPGA system.
SDAccel completely automates the step of the hardware design flow, offering an easy to use environment for FPGA application design. It offers the possibility to specify a compute kernel using C and C++ for higher-level algorithmic implementation, or using hardware description languages for RTL designs, while using OpenCL APIs to control run-time behavior. Attendees will use their laptops to connect to the EC2 F1 instances.

Proposed Workshop Agenda (AWS)
  • Class Intro (9:00 AM – 9:15 AM)
  • Introduction to AWS EC2 F1 (9:15 AM – 10:00 AM)
  • Lab 1: Connecting to AWS EC2 F1 lab (15 mins)
  • Morning break (10:15 AM – 10:30 AM)
  • SDAccel Tools Overview (10:30 AM – 10:45 AM)
  • Lab 2: MakeFile Flow lab (10:45 AM – 11:30 AM)
  • SDAccel Flow (11:30 AM – Noon)
  • Lunch
  • SDAccel Flow (Cont) (1:00 PM – 1:30 PM)
  • Lab 3: GUI Flow lab (1:30 PM – 2:15 PM)
  • Optimization Techniques (2:15 PM – 3:00 PM)
  • Afternoon break (3:00 PM – 3:15 PM)
  • Lab 4: Optimization lab (3:15 PM – 4:00 PM)
  • RTL Kernel Wizard (4:00 PM – 4:30 PM)
  • Lab 5: RTL Kernel Creation lab (4:30 PM – 5:00 PM)
  • Debugging Techniques / Machine Learning (5:00 – 5:30 PM)
  • Lab 6: Debugging/Machine Learning on AWS EC2 F1 lab (5:30 PM – 6:00 PM)

Accelerate real-time high definition video processing designs with Digilent Zybo Z7, a Zynq-7000 AP SoC Platform and Xilinx Vivado HLS - Digilent Workshop

Accelerate real-time high definition video processing designs with Digilent Zybo Z7, a Zynq-7000 AP SoC Platform and Xilinx Vivado HLS
Arthur Brown
Digilent Inc

Wednesday December 5th, 2:00pm-6:00pm

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All workshop attendees will have
    1. Zybo Z7 Zynq SoC platform (
    2. PCAM 5C 5MP camera sensor (
    3. NI Multisim Circuit Design and Simulation Software (

  • Show how to use High Level Synthesis (HLS) to configure the field programmable gate array (FPGA)
  • Explain how to build the real-time video processing pipelines and Intellectual Property (IP) in the Xilinx computer aided design (CAD) tool.
  • Illustrate the viability of real-time video processing in reconfigurable logic instead of software running on a general-purpose microprocessor.

The workshop aligns with Digilent’s mission of providing a hands-on, project-based, open-ended approach to education. Attendees will use Digilent Zybo Z7 (a Xilinx Zynq SoC FPGA platform), PCAM (5MP camera sensor) and Xilinx Vivado HLx to implement a real-time high definition video processing application.
Examples in the workshop materials are based on both high-level programming language (C++) and hardware description language (VHDL). Trainers will demonstrate HLS design flow, IP core usage, simulation and hardware debugging. Participants will leave the workshop with instructional materials and PCAM, 5MP camera sensor so that they can easily adopt this innovative technique in their own courses and projects.

List of Topics covered
  • Explain parallelism and program execution
  • Introduce Xilinx FPGA Architecture and Vivado HLS
  • Introduce Digilent Zybo Z7 and PCAM
  • Accelerate video processing algorithm on Xilinx Vivado
  • Implement video processing design on Digilent Zybo Z7 and PCAM

Target Audience
The anticipated audience includes faculty members, instructors, laboratory staff, graduate students in the Electrical and Computer Engineering department. Participants need to have basic knowledge about VHDL, C/C++ and digital design.

Arthur Brown is an enthusiastic Application Engineer with experience in Xilinx FPGA and embedded software development.

What to bring
Attendees need to bring a Windows 7 (or later version) laptop and install the Vivado 2018.2 Design Suite, HLS and SDK (under WebPack license)

  • Training materials
  • PCAM, 5MP camera sensor
  • USB thumbdrive loaded with training materials and project files