Difference between revisions of "Programming"
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* [http://hpc.wordpress.hull.ac.uk/support/research-software-engineering/ Research software engineering] | * [http://hpc.wordpress.hull.ac.uk/support/research-software-engineering/ Research software engineering] | ||
− | * [[General/Jupyternotebook Using Jupyter notebooks on our HPC]] | + | * [[General/Jupyternotebook|Using Jupyter notebooks on our HPC]] |
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| [[programming/C-Sharp|C-Sharp]] | | [[programming/C-Sharp|C-Sharp]] | ||
− | | C# is a multi-paradigm programming language encompassing strong typing, imperative, declarative, functional, generic, object-oriented (class-based), and component-oriented programming. | + | | C# is a multi-paradigm programming language encompassing strong typing, imperative, declarative, functional, generic, object-oriented (class-based), and component-oriented programming. Created by Microsoft. |
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| [[programming/Cuda|CUDA]] | | [[programming/Cuda|CUDA]] | ||
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| [[programming/Java|JAVA]] | | [[programming/Java|JAVA]] | ||
| Java is a high-level programming language originally developed by Sun Microsystems and released in 1995. | | Java is a high-level programming language originally developed by Sun Microsystems and released in 1995. | ||
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| [[programming/OpenACC|OpenACC]] | | [[programming/OpenACC|OpenACC]] | ||
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| [[programming/OpenCL|OpenCL]] | | [[programming/OpenCL|OpenCL]] | ||
− | | A framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-programmable gate arrays (FPGAs) and other processors or hardware accelerators. | + | | A framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), and field-programmable gate arrays (FPGAs) and other processors or hardware accelerators. |
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| [[programming/OpenMP|OpenMP]] | | [[programming/OpenMP|OpenMP]] |
Latest revision as of 10:47, 23 March 2023
Programming Support
- Development software listed here refer to those list in the development section of typing module avail.
- Viper programming guidelines and style
- Use of Github for software control
- Research software engineering
Specialised Programming Areas
Area | Description |
Deep Learning | Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. |
Programming Languages & Libraries
Package | Description |
C | C is a general-purpose, high-level language that was originally developed by Dennis M. Ritchie to develop the UNIX operating system at Bell Labs. |
C++ | C++ is a general-purpose programming language. It has imperative, object-oriented and generic programming features, while also providing facilities for low-level memory manipulation. |
C-Sharp | C# is a multi-paradigm programming language encompassing strong typing, imperative, declarative, functional, generic, object-oriented (class-based), and component-oriented programming. Created by Microsoft. |
CUDA | CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. |
Fortran | Fortran is a general-purpose, imperative programming language that is especially suited to numeric computation and scientific computing. FORTRAN was the world's first high-level programming language and was started in 1957. |
JAVA | Java is a high-level programming language originally developed by Sun Microsystems and released in 1995. |
OpenACC | OpenACC is an implementation of multithreading, a method of parallelizing whereby a master thread (a series of instructions executed consecutively) forks a specified number of slave threads and the system divides a task among them. This is similar to OpenMP but has had CPU/GPU support from the beginning. There is language support from C/C++ and Fortran. |
OpenCL | A framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), and field-programmable gate arrays (FPGAs) and other processors or hardware accelerators. |
OpenMP | OpenMP is an implementation of multithreading, a method of parallelizing whereby a master thread (a series of instructions executed consecutively) forks a specified number of slave threads and the system divides a task among them. There is language support from C/C++ and Fortran. |
OpenMPI | MPI stands for the Message Passing Interface. MPI is a standardized API typically used for parallel and/or distributed computing. There is language support from C/C++ and Fortran. |
Perl | Perl is an interpreted language useful for rapid code development and multi-purpose programming. |
Python | Python is an interpreted language useful for rapid code development and distributed computing. |
R | R is a programming language and software environment for statistical analysis, graphics representation and reporting. |
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