AdaptiveCpp/AdaptiveCpp

Health v2 · maintenance only

Adoption not part of the score

1928 stars · 225 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AdaptiveCpp (formerly hipSYCL/Open SYCL) is an independent, community-driven C++ compiler platform for heterogeneous programming models including SYCL, C++ standard parallelism (stdpar), and portable CUDA/HIP. It targets CPUs and GPUs from all major vendors (NVIDIA, AMD, Intel, Apple) and can produce a single binary that adapts to all hardware in the system, even at runtime.

Use cases

• compile SYCL code for NVIDIA, AMD, Intel, and Apple GPUs
• offload C++ standard parallelism (parallel STL) to GPUs from any vendor
• compile CUDA or HIP code into a single portable binary that also runs on CPUs
• run one binary across heterogeneous hardware from multiple vendors simultaneously
• use vendor profilers and debuggers with portable GPU code
• avoid vendor lock-in for GPU-accelerated HPC applications

When to choose

• you need a vendor-independent SYCL implementation
• you want C++ stdpar offloading across NVIDIA, AMD, and Intel GPUs
• you need a single binary targeting CPUs and GPUs from multiple vendors
• you want to mix CUDA and SYCL in the same source file
• you need portable CUDA/HIP code that also runs on CPUs

When to avoid

• you only target a single vendor and prefer the vendor's fully supported toolchain (CUDA, ROCm, oneAPI)
• you need guaranteed vendor-level support and certification
• you rely on experimental features like PCUDA or stdpar offloading requiring production stability

Facets

cli-tool · maturity active

compiler gpu-computing concurrency gpu-computing compilers cross-platform windows cpp sycl stdpar cuda hip heterogeneous-computing hpc llvm jit-compiler gpgpu compiler high-performance-computing linux macos gpu

Member repositories

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markdown · JSON · MCP: product_card(name="AdaptiveCpp/AdaptiveCpp")