CUDA Toolkit 12.0 introduces a new nvJitLink library for Just-in-Time Link Time Optimization (JIT LTO) support. In the early days of CUDA, to get maximum performance, developers had to build and compile CUDA kernels as a single source file in whole programming mode. This limited SDKs and applications with large swaths of code, spanning multiple files that required separate compilation from porting…
]]>The CUDA 11.3 release of the CUDA C++ compiler toolchain incorporates new features aimed at improving developer productivity and code performance. NVIDIA is introducing cu++flt, a standalone demangler tool that allows you to decode mangled function names to aid source code correlation. Starting with this release, the NVRTC shared library versioning scheme is relaxed to facilitate compatible…
]]>The 11.2 CUDA C++ compiler incorporates features and enhancements aimed at improving developer productivity and the performance of GPU-accelerated applications. The compiler toolchain gets an LLVM upgrade to 7.0, which enables new features and can help improve compiler code generation for NVIDIA GPUs. Link-time optimization (LTO) for device code (also known as device LTO)…
]]>CUDA 11.2 features the powerful link time optimization (LTO) feature for device code in GPU-accelerated applications. Device LTO brings the performance advantages of device code optimization that were only possible in the whole program compilation mode to the separate compilation mode, which was introduced in CUDA 5.0. Separate compilation mode allows CUDA device kernel code to span across…
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