The newest addition to AMD’s ROCm/HIP portfolio is HIP Threads “hipThreads” as a C++ style concurrency library for AMD GPUs.
With HIP Threads, AMD is aiming to make it easy for developers already using C++ std::thread patterns and port it over to the similar hip::thread for more easily porting C++ codebases to AMD GPUs. HIP Threads is also designed to allow for incremental porting rather than being a big break with a large upfront investment into the code.
“hipThreads introduces a GPU execution model that lets you launch and coordinate work using idioms you already know from the C++ Concurrency Support Library. Instead of beginning your GPU journey by learning kernel configuration, grid/block semantics, and ad-hoc synchronization, you can write hip::thread, hip::mutex, hip::lock_guard, and hip::condition_variable code that feels structurally similar to your existing std::thread-driven CPU programs—making first contact with GPU compute feel like an incremental extension of existing C++ expertise, not a wholesale shift in mental model.
The design of hipThreads lets teams port CPU concurrency regions incrementally: replace std::thread with hip::thread, adapt synchronization where needed, and move logic onto the GPU without immediately restructuring everything into bulk kernels. For newcomers to GPU programming, it reduces cognitive load – developers can experiment with parallelism using concepts they already trust, then dive deeper into HIP specifics only as optimization demands.
In short, hipThreads aims to make AMD GPU compute more accessible, more maintainable, and more aligned with modern C++ concurrency practices, accelerating both learning curves and codebase evolution.”
More details on HIP Threads “hipThreads” can be found via today’s announcement on the AMD ROCm blog.
Over on AMD GPUOpen is also complementary material on HIP Threads for GPU acceleration with reduced complexity for C++ developers.
AMD is promoting HIP Threads as being great for C++ teams with CPU bottlenecks, developers lacking GPU expertise or not wanting to otherwise learn ROCm/CUDA parallel programming models, and tool vendors who want simple GPU integration.
The hipThreads library is open-source via the Apache 2.0 license on GitHub. The hipThreads usage depends upon ROCm 7.0+ and currently only supports Linux.
It will be interesting to see how the adoption is of hipThreads by C++ developers moving forward.
