Accelerating C,C++, OpenCl and RTL Applications with SDAccel | Online & Onsite - Las Vegas, NV

Please note:  This course is scheduled to run Onsite and Online simultaneously. Onsite and Online versions of this course have the exact same material and content.

Course Description

After completing this comprehensive training, you will have the necessary skills to:

• Describe how the FPGA architecture lends itself to parallel computing
• Explain how the SDx development environment helps software developers to focus on applications
• Examine the OpenCL API execution model
• Analyze the OpenCL API memory model
• Create kernels from C, C++, OpenCL, or RTL IP (using the RTL Kernel Wizard)
• Apply host code optimization and kernel optimization techniques
• Move data efficiently between kernel and global memory
• Profile and debug OpenCL API code using the SDAccel development environment

Course Outline

Day 1

• Introduction to the SDAccel Environment and OpenCL Framework {Lecture}
• SDx Tools Overview {Lecture, Lab}
• Makefile Flow {Lecture, Lab}
• Introduction to FPGAs {Lecture}
• Alveo Product Overview {Lecture}
• Alveo Partner Ecosystem Solutions Overview {Lecture}
• Introduction to Nimbix Cloud {Lecture}
• OpenCL Framework Fundamentals 1 {Lecture}
• OpenCL Framework Fundamentals 2 {Lecture, Lab}
• Synchronization {Lecture, Lab}

Day 2

• Introduction to NDRanges {Lecture}
• Working with NDRanges {Lecture, Lab}
• Profiling {Lecture}
• Debugging {Lecture}
• C-Based Kernels {Lecture}
• C-Based Kernel Optimization {Lecture}
• Optimization Methodologies {Lecture}
• Memory Transfer Optimization Techniques {Lecture}
• Kernel Optimization Techniques {Lecture, Lab}
• Using the RTL Kernel Wizard to Reuse Existing IP as Accelerators {Lecture, Lab}