Difference between revisions of "GPU610/DPS915 Glossary"
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− | {{GPU610/DPS915 Index | | + | {{GPU610/DPS915 Index | 20171}} |
Please add your term to the end of the table using the following syntax! | Please add your term to the end of the table using the following syntax! | ||
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|Cilk Plus|| extension to c/c++ to be able to program heterogeneous computers (championed by intel) ||[[User:JBoelen | James]]||Boelen||Chris Szalwinski | |Cilk Plus|| extension to c/c++ to be able to program heterogeneous computers (championed by intel) ||[[User:JBoelen | James]]||Boelen||Chris Szalwinski | ||
|- | |- | ||
− | |CUDA|| | + | |CUDA|| CUDA™ is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU) ||[[User:bapatel6 | Bhrugesh]]||Patel||[https://developer.nvidia.com/what-cuda NVIDIA] |
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|OpenCL|| Platform independent standard, developed by the Khronos group. Set of extensions you can add to c/c++ to do parallel programming. (complicated and hard to learn) ||[[User:JBoelen | James]]||Boelen||Chris Szalwinski | |OpenCL|| Platform independent standard, developed by the Khronos group. Set of extensions you can add to c/c++ to do parallel programming. (complicated and hard to learn) ||[[User:JBoelen | James]]||Boelen||Chris Szalwinski |
Latest revision as of 19:52, 6 January 2017
GPU610/DPS915 | Student List | Group and Project Index | Student Resources | Glossary
Please add your term to the end of the table using the following syntax!
Syntax
| TERM || DEF || [[User:WUN | FN]]|| LN || CREDIT |-
- TERM: the term being defined
- DEF: definition of the term
- WUN: your Wiki user name
- FN: your first name
- LN: your last name
- CREDIT: the original credit (if any)
List of Terms
Term | Definition | Enetered by | Last Name | Credit |
---|---|---|---|---|
Host | The serial processing part of a heterogeneous computer | Chris | Szalwinski | - |
Device | The parallel processing part of a heterogeneous computer | Chris | Szalwinski | - |
ulp | Unit in last place - unit of least precision - spacing between adjacent floating point numbers | Chris | Szalwinski | Wikipedia July 15 2012 |
Heterogeneous computer | Computer that has more than one type of processor (eg. CPU & GPU) | James | Boelen | Chris Szalwinski |
NVIDIA | Producer of GPUs that contain CUDA cores | James | Boelen | Chris Szalwinski |
HSA | Heterogeneous system architecture foundation - collection of hardware manufacturers creating heterogeneous computers | James | Boelen | Chris Szalwinski |
STI | Sony Toshiba IBM - Alliance to create and develop the cell processor (combination CPU GPU) | James | Boelen | Chris Szalwinski |
Open MPI | Open Message Passing Interface | James | Boelen | Chris Szalwinski |
Open MP | Open Multi-Processing | James | Boelen | Chris Szalwinski |
Cilk Plus | extension to c/c++ to be able to program heterogeneous computers (championed by intel) | James | Boelen | Chris Szalwinski |
CUDA | CUDA™ is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU) | Bhrugesh | Patel | NVIDIA |
OpenCL | Platform independent standard, developed by the Khronos group. Set of extensions you can add to c/c++ to do parallel programming. (complicated and hard to learn) | James | Boelen | Chris Szalwinski |
OpenACC | #pragmas that leaves parallelization to the compiler | James | Boelen | Chris Szalwinski |
DirectCompute | Microsoft’s version of OpenCL / CUDA | James | Boelen | Chris Szalwinski |
C++ AMP | MS compiler directives (similar to OpenACC) | James | Boelen | Chris Szalwinski |
Multi processors | processor technology that supports concurrency-oriented programming | James | Boelen | Chris Szalwinski |