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Bookmark or Share- Contents — PTX ISA 8.5 documentation1. Introduction. 1.1. Scalable Data-Parallel Computing using GPUs; 1.2. Goals of PTX; 1.3. PTX ISA Version 8.5; 1.4. Document Struct
- 1. Using Inline PTX Assembly in CUDA - NVIDIA Documentation HubFor more information on the PTX ISA, refer to the latest version of the PTX ISA reference document. This application note describes how to inline PTX assembly language statements into CUDA code. 1.1. Assembler (ASM) Statements Assembler statements, asm(), provide a way to insert arbitrary PTX code into your CUDA program. A simple example is:
- Parallel Thread Execution ISA - NVIDIA Documentation HubParallel Thread Execution ISA v8.0 | vi 9.7.1.4. Integer Arithmetic Instructions: mad..... 97
- PTX ISA 8.5 - NVIDIA Documentation HubPTX programs are a collection of text source modules (files). PTX source modules have an assembly-language style syntax with instruction operation codes and operands. Pseudo-operations specify symbol and addressing management. The ptxas optimizing backend compiler optimizes and assembles PTX source modules to produce corresponding binary object ...
- CUDA Toolkit Documentation 12.6 Update 3The PTX string generated by NVRTC can be loaded by cuModuleLoadData and cuModuleLoadDataEx, and linked with other modules by cuLinkAddData of the CUDA Driver API. This facility can often provide optimizations and performance not possible in a purely offline static compilation.
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