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Is the parallel thread execution ( ptx ) model explicitly parallel?


Asked by Easton Stafford on Dec 09, 2021 FAQ



The Parallel Thread Execution (PTX) programming model is explicitly parallel: a PTX program specifies the execution of a given thread of a parallel thread array.
Accordingly,
Parallel Thread Execution ( PTX or NVPTX) is a low-level parallel thread execution virtual machine and instruction set architecture used in Nvidia 's CUDA programming environment.
Additionally, Parallel Thread Execution (PTX, or NVPTX) is a pseudo-assembly language used in Nvidia's CUDA programming environment. The nvcc compiler translates code written in CUDA, a C++-like language, into PTX, and the graphics driver contains a compiler which translates the PTX into a binary code which can be run on the processing cores.
In respect to this,
The nvcc compiler translates code written in CUDA, a C++ -like language, into PTX, and the graphics driver contains a compiler which translates the PTX into a binary code which can be run on the processing cores. The GNU Compiler Collection also has basic ability for PTX generation in the context of OpenMP offloading.
Just so,
Writing kernels in PTX requires explicitly registering PTX modules via the CUDA Driver API, typically more cumbersome than using the CUDA Runtime API and Nvidia's CUDA compiler, nvcc. The GPU Ocelot project provided an API to register PTX modules alongside CUDA Runtime API kernel invocations, though the GPU Ocelot is no longer actively maintained.