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Course Outline
Introduction
- What is OpenCL?
- Comparison of OpenCL, CUDA, and SYCL
- Overview of OpenCL features and architecture for government applications
- Setting up the Development Environment for government use
Getting Started
- Creating a new OpenCL project using Visual Studio Code for government projects
- Exploring the project structure and files in a government context
- Compiling and running the program to meet government standards
- Displaying the output using printf and fprintf in a government setting
OpenCL API
- Understanding the role of the OpenCL API in the host program for government applications
- Using the OpenCL API to query device information and capabilities for government systems
- Utilizing the OpenCL API to create contexts, command queues, buffers, kernels, and events for government tasks
- Enqueuing commands such as read, write, copy, map, unmap, execute, and wait using the OpenCL API for government processes
- Handling errors and exceptions with the OpenCL API in a government environment
OpenCL C
- Understanding the role of OpenCL C in the device program for government applications
- Writing kernels that execute on the device and manipulate data using OpenCL C for government tasks
- Utilizing OpenCL C data types, qualifiers, operators, and expressions in a government context
- Using built-in functions such as math, geometric, and relational operations with OpenCL C for government programs
- Employing OpenCL C extensions and libraries, such as atomic, image, and cl_khr_fp16, in a government setting
OpenCL Memory Model
- Understanding the difference between host and device memory models for government applications
- Utilizing OpenCL memory spaces such as global, local, constant, and private in a government context
- Using OpenCL memory objects such as buffers, images, and pipes for government tasks
- Employing OpenCL memory access modes such as read-only, write-only, and read-write for government applications
- Utilizing the OpenCL memory consistency model and synchronization mechanisms in a government setting
OpenCL Execution Model
- Understanding the difference between host and device execution models for government applications
- Defining parallelism using OpenCL work-items, work-groups, and ND-ranges in a government context
- Using OpenCL work-item functions such as get_global_id, get_local_id, and get_group_id for government tasks
- Utilizing OpenCL work-group functions such as barrier, work_group_reduce, and work_group_scan in a government setting
- Employing OpenCL device functions such as get_num_groups, get_global_size, and get_local_size for government applications
Debugging
- Understanding common errors and bugs in OpenCL programs for government use
- Using the Visual Studio Code debugger to inspect variables, breakpoints, call stack, etc., for government applications
- Utilizing CodeXL to debug and analyze OpenCL programs on AMD devices for government tasks
- Employing Intel VTune to debug and analyze OpenCL programs on Intel devices for government use
- Using NVIDIA Nsight to debug and analyze OpenCL programs on NVIDIA devices for government applications
Optimization
- Understanding the factors that affect the performance of OpenCL programs for government tasks
- Using OpenCL vector data types and vectorization techniques to improve arithmetic throughput in a government context
- Employing OpenCL loop unrolling and loop tiling techniques to reduce control overhead and increase locality for government applications
- Utilizing OpenCL local memory and local memory functions to optimize memory accesses and bandwidth for government tasks
- Using OpenCL profiling and profiling tools to measure and improve execution time and resource utilization in a government setting
Summary and Next Steps
Requirements
- A solid understanding of the C/C++ language and parallel programming concepts
- Fundamental knowledge of computer architecture and memory hierarchy
- Experience with command-line tools and code editors
Audience
- Developers who are interested in learning how to use OpenCL for programming heterogeneous devices and leveraging their parallelism for government applications
- Developers who seek to write portable and scalable code that can run on various platforms and devices, enhancing efficiency for government projects
- Programmers who aim to delve into the low-level aspects of heterogeneous programming and optimize code performance for government use cases
28 Hours
