Tech Insights
CUDA

CUDA

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What is CUDA?

CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model developed by NVIDIA. It allows software to use NVIDIA GPUs for general-purpose processing, significantly accelerating computationally intensive tasks. It is commonly used in areas like scientific computing, deep learning, image processing, and video editing.

What other technologies are related to CUDA?

CUDA Competitor Technologies

OpenCL is a heterogeneous parallel computing framework that offers an alternative to CUDA for programming GPUs and other accelerators.
mentioned alongside CUDA in 75% (6k) of relevant job posts
HIP is a C++ dialect and runtime API that allows developers to port CUDA code to AMD GPUs with minimal code changes. It is a direct competitor to CUDA.
mentioned alongside CUDA in 79% (1.3k) of relevant job posts
ROCm is AMD's open-source software platform for GPU computing, providing an alternative to CUDA for AMD GPUs. It directly competes with CUDA.
mentioned alongside CUDA in 84% (930) of relevant job posts
OpenACC is a directive-based programming model for parallel computing on accelerators, offering an alternative to CUDA for offloading computations to GPUs.
mentioned alongside CUDA in 87% (670) of relevant job posts
SYCL is a higher-level programming model built on top of OpenCL, targeting heterogeneous systems. As OpenCL is a CUDA competitor, so is SYCL.
mentioned alongside CUDA in 76% (462) of relevant job posts

CUDA Complementary Technologies

OpenMP is a standard for parallel programming, often used in conjunction with CUDA to parallelize tasks across CPUs and GPUs. It may also be used as a competitor by those avoiding GPU programming.
mentioned alongside CUDA in 48% (2.1k) of relevant job posts
TensorRT is an SDK for high-performance deep learning inference on NVIDIA GPUs, working directly with CUDA to optimize models. It complements CUDA.
mentioned alongside CUDA in 45% (1.8k) of relevant job posts
cuDNN is a library of primitives for deep neural networks. It is built on top of CUDA and provides highly optimized routines for deep learning operations.
mentioned alongside CUDA in 88% (873) of relevant job posts

Which organizations are mentioning CUDA?

Organization
Industry
Matching Teams
Matching People
CUDA
NVIDIA
Scientific and Technical Services
CUDA
Apple
Scientific and Technical Services

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