Difference between revisions of "Programming"
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===Specialised Programming Areas=== | ===Specialised Programming Areas=== | ||
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| style="width:25%" | <Strong>Area</Strong> | | style="width:25%" | <Strong>Area</Strong> | ||
| style="width:75%" | <Strong>Description</Strong> | | style="width:75%" | <Strong>Description</Strong> | ||
Revision as of 10:15, 4 April 2019
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. Originally 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. |
| Julia | Julia is a high-level, high-performance dynamic programming language for numerical computing. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. |
| 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), 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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- Application support
- Library support
- Development support
- General
- Training