Changes

{{GPU610/DPS915 Index | 2012320171}}

Please add your term to the end of the table code (if you are a student in GPU610/DPS915, Fall of 2012) using the following syntax.<br /><big><pre>| TERM || Description || [[User:WUN | FN]]||LN || CREDIT |-</pre></big>* WUN: Your Wiki User name* FN: Your First Name* LN: Your Last Name* CREDIT: Original Credit (if any)!

== Syntax ==<big><pre>| TERM || DEF || [[User:WUN | FN]]|| LN || CREDIT |-</pre></big>* 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)<br /> == List of Terms == {| class="wikitable sortable" border="1" cellpadding="5"|+ GPU610/DPS915 - Glossary! Term !! Description Definition !! Enetered by !! Last Name!! Credit|-|Host || The serial processing part of a heterogeneous computer||[[User:Chris Szalwinski | Chris]]||Szalwinski||-|-|Device|| The parallel processing part of a heterogeneous computer||[[User:Chris Szalwinski | Chris]]||Szalwinski||-|-|ulp|| Unit in last place - unit of least precision - spacing between adjacent floating point numbers ||[[User:Chris Szalwinski | Chris]]||Szalwinski||[http://en.wikipedia.org/wiki/Unit_in_the_last_place Wikipedia July 15 2012]|-|Heterogeneous computer || Computer that has more than one type of processor (eg. CPU & GPU) ||[[User:JBoelen | James]]||Boelen||Chris Szalwinski|-|NVIDIA|| Producer of GPUs that contain CUDA cores ||[[User:JBoelen | James]]||Boelen||Chris Szalwinski|-|HSA|| Heterogeneous system architecture foundation - collection of hardware manufacturers creating heterogeneous computers ||[[User:JBoelen | James]]||Boelen||Chris Szalwinski|-|STI|| Sony Toshiba IBM - Alliance to create and develop the cell processor (combination CPU GPU) ||[[User:JBoelen | James]]||Boelen||Chris Szalwinski|-|Open MPI|| Open Message Passing Interface ||[[User:JBoelen | James]]||Boelen||Chris Szalwinski|-|Open MP|| Open Multi-Processing ||[[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™ 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]|-|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|-|OpenACC|| #pragmas that leaves parallelization to the compiler ||[[User:JBoelen | James]]||Boelen||Chris Szalwinski|-|DirectCompute|| Microsoft’s version of OpenCL / CUDA ||[[User:JBoelen | James]]||Boelen||Chris Szalwinski

|Host C++ AMP|| The serial processing part of a heterogeneous computerMS compiler directives (similar to OpenACC) ||[[User:Chris Szalwinski JBoelen | ChrisJames]]||SzalwinskiBoelen||Chris Szalwinski

|DeviceMulti processors|| The parallel processing part of a heterogeneous computerprocessor technology that supports concurrency-oriented programming ||[[User:Chris Szalwinski JBoelen | ChrisJames]]||SzalwinskiBoelen||Chris Szalwinski