Welcome to AMD ROCm Platform¶
AMD ROCm is the first open-source software development platform for HPC/Hyperscale-class GPU computing. AMD ROCm brings the UNIX philosophy of choice, minimalism and modular software development to GPU computing.
Since the ROCm ecosystem is comprised of open technologies: frameworks (Tensorflow / PyTorch), libraries (MIOpen / Blas / RCCL), programming model (HIP), inter-connect (OCD) and up streamed Linux® Kernel support – the platform is continually optimized for performance and extensibility. Tools, guidance and insights are shared freely across the ROCm GitHub community and forums.
AMD ROCm is built for scale; it supports multi-GPU computing in and out of server-node communication through RDMA. AMD ROCm also simplifies the stack when the driver directly incorporates RDMA peer-sync support.
The AMD ROCm Programming-Language Run-Time¶
The AMD ROCr System Runtime is language independent and makes heavy use of the Heterogeneous System Architecture (HSA) Runtime API. This approach provides a rich foundation to execute programming languages such as HCC C++ and HIP.
Important features include the following:
Multi-GPU coarse-grain shared virtual memory
Process concurrency and preemption
Large memory allocations
HSA signals and atomics
User-mode queues and DMA
Standardized loader and code-object format
Dynamic and offline-compilation support
Peer-to-peer multi-GPU operation with RDMA support
Profiler trace and event-collection API
Systems-management API and tools
Solid Compilation Foundation and Language Support¶
LLVM compiler foundation
HCC C++ and HIP for application portability
GCN assembler and disassembler
AMD ROCm gives developers the flexibility of choice for hardware and aids in the development of compute-intensive applications.