HIP Insights | Sumble

What is HIP?

HIP (Heterogeneous-compute Interface for Portability) is a C++ dialect and runtime API that allows developers to write portable code that can run on both AMD and NVIDIA GPUs. It's a thin layer on top of either CUDA (NVIDIA) or ROCm (AMD), enabling single-source development for heterogeneous computing environments. HIP is commonly used to accelerate compute-intensive applications in fields like scientific computing, machine learning, and data analytics, providing a migration path from CUDA while targeting multiple GPU vendors.

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What other technologies are related to HIP?

HIP Competitor Technologies

ROCm

ROCm is AMD's platform for GPU programming, serving a similar purpose to HIP but for AMD GPUs. It competes with HIP.

mentioned alongside HIP in 28% (313) of relevant job posts

OpenCL

OpenCL is a cross-platform API for parallel programming, which is a direct competitor to HIP. HIP translates to CUDA or ROCm.

mentioned alongside HIP in 10% (833) of relevant job posts

CUDA

CUDA is NVIDIA's parallel computing platform and API, which is a direct competitor to HIP. HIP code can be translated to CUDA.

mentioned alongside HIP in 5% (1.3k) of relevant job posts

SYCL

SYCL is a higher-level programming model for heterogeneous computing based on C++, and competes with HIP in providing a cross-platform solution.

mentioned alongside HIP in 20% (121) of relevant job posts

Kokkos

Kokkos is a programming model for performance portability across different hardware architectures, a similar goal to HIP making it a competitor.

mentioned alongside HIP in 31% (77) of relevant job posts

OpenACC

OpenACC is a directive-based programming model for parallel computing that is a competitor to HIP.

mentioned alongside HIP in 14% (106) of relevant job posts

HIP Complementary Technologies

NCCL/RCCL

NCCL is NVIDIA's collective communications library, and RCCL is AMD's ROCm Collective Communication Library. These are used for multi-GPU communication and can be used in conjunction with HIP.

mentioned alongside HIP in 70% (62) of relevant job posts

CUTLASS

CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix multiplication, which is complementary as HIP may use it.

mentioned alongside HIP in 30% (93) of relevant job posts

cuBLAS

cuBLAS is NVIDIA's BLAS library. As HIP can translate to CUDA, cuBLAS is complementary.

mentioned alongside HIP in 25% (67) of relevant job posts