Course Outline

Introduction

  • Overview of OpenCL for government applications
  • Comparison of OpenCL, CUDA, and SYCL for government use
  • Key features and architecture of OpenCL relevant to public sector operations
  • Setting up the development environment for government projects

Getting Started with OpenCL for Government Projects

  • Creating a new OpenCL project using Visual Studio Code for government
  • Exploring the project structure and files in a government context
  • Compiling and running the program to meet government standards
  • Displaying output using printf and fprintf in government applications

OpenCL API for Government Use

  • Understanding the role of the OpenCL API in host programs for government
  • Using the OpenCL API to query device information and capabilities for government purposes
  • Creating contexts, command queues, buffers, kernels, and events using the OpenCL API for government applications
  • Enqueuing commands such as read, write, copy, map, unmap, execute, and wait using the OpenCL API for government operations
  • Handling errors and exceptions with the OpenCL API in a government setting

OpenCL C for Government Programs

  • Understanding the role of OpenCL C in device programs for government use
  • Writing kernels that execute on the device and manipulate data using OpenCL C for government applications
  • Utilizing OpenCL C data types, qualifiers, operators, and expressions for government projects
  • Using built-in functions in OpenCL C, such as math, geometric, and relational functions, for government tasks
  • Leveraging OpenCL C extensions and libraries, such as atomic operations and image processing, for government needs

OpenCL Memory Model for Government Applications

  • Understanding the difference between host and device memory models in a government context
  • Utilizing OpenCL memory spaces, such as global, local, constant, and private, for government programs
  • Using OpenCL memory objects, including buffers, images, and pipes, for government data management
  • Employing OpenCL memory access modes, such as read-only, write-only, and read-write, in government applications
  • Applying the OpenCL memory consistency model and synchronization mechanisms for government operations

OpenCL Execution Model for Government Programs

  • Understanding the difference between host and device execution models for government use
  • Defining parallelism using OpenCL work-items, work-groups, and ND-ranges in government applications
  • Utilizing OpenCL work-item functions, such as get_global_id, get_local_id, and get_group_id, for government tasks
  • Using OpenCL work-group functions, including barrier, work_group_reduce, and work_group_scan, in government programs
  • Leveraging OpenCL device functions, such as get_num_groups, get_global_size, and get_local_size, for government operations

Debugging OpenCL Programs for Government Use

  • Identifying common errors and bugs in OpenCL programs for government applications
  • Using the Visual Studio Code debugger to inspect variables, breakpoints, and call stacks in government projects
  • Utilizing CodeXL to debug and analyze OpenCL programs on AMD devices for government use
  • Employing Intel VTune to debug and analyze OpenCL programs on Intel devices for government applications
  • Using NVIDIA Nsight to debug and analyze OpenCL programs on NVIDIA devices for government projects

Optimizing OpenCL Programs for Government Use

  • Understanding factors that affect the performance of OpenCL programs in a government context
  • Using OpenCL vector data types and vectorization techniques to improve arithmetic throughput for government applications
  • Applying OpenCL loop unrolling and loop tiling techniques to reduce control overhead and increase locality in government programs
  • Optimizing memory accesses and bandwidth using OpenCL local memory and local memory functions for government tasks
  • Measuring and improving execution time and resource utilization with OpenCL profiling tools for government use

Summary and Next Steps for Government Projects

Requirements

  • An understanding of C/C++ language and parallel programming concepts for government applications.
  • Basic knowledge of computer architecture and memory hierarchy.
  • Experience with command-line tools and code editors.

Audience

  • Developers who wish to learn how to use OpenCL to program heterogeneous devices and exploit their parallelism for government projects.
  • Developers who aim to write portable and scalable code that can run on various platforms and devices within the public sector.
  • Programmers interested in exploring the low-level aspects of heterogeneous programming and optimizing code performance for government use.
 28 Hours

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