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OpenMP

OpenMP

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**OpenMP**

What is OpenMP?

OpenMP (Open Multi-Processing) is an API that supports multi-platform shared-memory parallel programming in C, C++, and Fortran. It consists of a set of compiler directives, library routines, and environment variables that influence run-time behavior. OpenMP is commonly used to parallelize computationally intensive sections of code in scientific simulations, image processing, and other applications, allowing programs to utilize multiple cores on a single machine.

Find 799 organizations using OpenMP on Sumble →

What other technologies are related to OpenMP?

OpenMP Competitor Technologies

OpenACC
OpenACC
OpenACC provides a directive-based approach for offloading computation to accelerators, similar to OpenMP's target offload feature. They both aim to simplify accelerator programming.
CUDA
CUDA
CUDA is NVIDIA's parallel computing platform and programming model. OpenMP target offload offers a more portable alternative for GPU programming but can also leverage CUDA libraries.
HIP
HIP
HIP is AMD's programming model for GPUs, similar to CUDA. OpenMP can also target AMD GPUs through target offload, offering a portable alternative.
Kokkos
Kokkos
Kokkos is a C++ library for writing performance portable code that can run on various architectures. It provides an alternative to OpenMP for parallel programming, especially on GPUs.
TBB
TBB
TBB (Threading Building Blocks) is a C++ template library for task parallelism. It provides an alternative to OpenMP for shared memory parallelism.
OpenCL
OpenCL
OpenCL is a framework for writing programs that execute across heterogeneous platforms. It offers an alternative to OpenMP target offload for GPU programming.
pthreads
Pthreads is a low-level API for managing threads. OpenMP provides a higher-level, more convenient abstraction for shared memory parallelism than directly using pthreads.
SYCL
SYCL
SYCL is a higher-level programming model based on C++ for heterogeneous computing. It provides an alternative to OpenMP target offload for offloading computation to accelerators.
Number of organizations that mention technology
799
OpenMP
149
OpenACC
4,238
CUDA
211
HIP
51
Kokkos
56
TBB
1,234
OpenCL
109
pthreads
138
SYCL
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OpenMP Complementary Technologies

MPI
MPI
MPI is for distributed memory parallelism, while OpenMP is for shared memory parallelism. They are often used together in hybrid parallel applications.
LLVM
LLVM
LLVM is a compiler infrastructure project. OpenMP implementations often rely on LLVM for code generation and optimization, especially for target offloading.
cuBLAS
cuBLAS
cuBLAS is NVIDIA's implementation of the BLAS (Basic Linear Algebra Subprograms) library on CUDA. OpenMP can utilize cuBLAS for accelerated linear algebra operations within a target region on an NVIDIA GPU.
Number of organizations that mention technology
799
OpenMP
1,465
MPI
554
LLVM
80
cuBLAS
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Which job functions commonly mention OpenMP?

Performance Engineer
0.7% of all Performance Engineer jobs mention OpenMP
View 85 jobs on Sumble
Scientist
0.1% of all Scientist jobs mention OpenMP
View 337 jobs on Sumble
Software Engineer
1585 Software Engineer jobs mention OpenMP
View 1.6k jobs on Sumble
Engineering & R&D
2953 Engineering & R&D jobs mention OpenMP
View 3k jobs on Sumble
Engineer
2324 Engineer jobs mention OpenMP
View 2.3k jobs on Sumble
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Which organizations are mentioning OpenMP?

OpenMP
Barcelona Supercomputing Center (BSC)
Scientific and Technical Services 
53 team
mention OpenMP
↗
 29 people
use OpenMP
↗
OpenMP
Oak Ridge National Laboratory
Public Administration 
50 team
mention OpenMP
↗
 58 people
use OpenMP
↗
OpenMP
Intel Corporation
Manufacturing 
34 team
mention OpenMP
↗
 272 people
use OpenMP
↗
OpenMP
CNRS
Public Administration 
33 team
mention OpenMP
↗
 18 people
use OpenMP
↗
OpenMP
SAIC
Professional Services 
32 team
mention OpenMP
↗
 4 people
use OpenMP
↗
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