添加了新的 API 以从用户提供的对象中获取唯一的流和上下文 ID：cuStreamGetId(CUstreamhStream,unsignedlonglong*streamId)cuCtxGetId(CUcontextctx,unsignedlonglong*ctxId)添加了对只读cuMemSetAccess()标志的支持CU_MEM_ACCESS_FLAGS_PROT_READ。CUDA 编译器JIT LTO 支持现在通过单独的 nvJitLink 库正式成为 CU...
cuStreamGetId(CUstreamhStream,unsignedlonglong*streamId) cuCtxGetId(CUcontextctx,unsignedlonglong*ctxId) 添加了对只读cuMemSetAccess()标志的支持CU_MEM_ACCESS_FLAGS_PROT_READ。 CUDA 编译器 JIT LTO 支持现在通过单独的 nvJitLink 库正式成为 CUDA 工具包的一部分。 新的主机编译器支持: GCC 12.1(官方...
While JIT LTO was introduced in CUDA 11.4, that version of JIT LTO was through the cuLink APIs in the CUDA driver. It also relied on using a separate optimizer library shipped with the CUDA driver for performing link time optimizations at runtime. Due to dependency on the CUDA driver, J...
cuStreamGetId(CUstreamhStream,unsignedlonglong*streamId) cuCtxGetId(CUcontextctx,unsignedlonglong*ctxId) 添加了对只读cuMemSetAccess()标志的支持CU_MEM_ACCESS_FLAGS_PROT_READ。 CUDA 编译器 JIT LTO 支持现在通过单独的 nvJitLink 库正式成为 CUDA 工具包的一部分。 新的主机编译器支持: GCC 12.1(官方...
cuda-cupti-12-0 x86_64 12.0.146-1 cuda-rhel7-x86_64 28 M cuda-cuxxfilt-12-0 x86_64 12.0.140-1 cuda-rhel7-x86_64 279 k cuda-demo-suite-12-0 x86_64 12.0.140-1 cuda-rhel7-x86_64 5.1 M cuda-documentation-12-0 x86_64 12.0.140-1 cuda-rhel7-x86_64 127 k ...
CUDA Toolkit 12.4 引入了 nvFatbin,这是一个新的库,能够通过编程创建 fatbin,从而大大简化了这项任务,不再需要写入文件、调用exec、解析命令行输出和从目录中获取输出文件。 新库提供了运行时 fatbin 创建支持 使用nvFatbin 库类似于任何其他熟悉的库,如NVRTC、nvPTXCompiler 和 nvJitLink。nvFatbin 库有静态...
[pip3] nvidia-nvjitlink-cu12==12.4.127 [pip3] nvidia-nvtx-cu12==12.4.127 [pip3] pyzmq==25.1.2 [pip3] torch==2.5.1 [pip3] torchvision==0.20.1 [pip3] transformers==4.45.2 [pip3] triton==3.1.0 [conda] numpy 1.26.4 pypi_0 pypi ...
1.170 nvidia-nccl-cu12 2.21.5 nvidia-nvjitlink-cu12 12.4.127 nvidia-nvtx-cu12 12.4.127 ordered-set 4.1.0 packaging 24.1 pandas 2.2.2 pip 24.2 platformdirs 4.2.2 psutil 6.1.0 pyarrow 16.1.0 PySocks 1.7.1 python-dateutil 2.9.0.post0 pytz 2024.1 PyYAML 6.0.2 rege...
nvrtc-cu12 12.1.105 nvidia-cuda-runtime-cu12 12.1.105 nvidia-cudnn-cu12 8.9.2.26 nvidia-cufft-cu12 11.0.2.54 nvidia-curand-cu12 10.3.2.106 nvidia-cusolver-cu12 11.4.5.107 nvidia-cusparse-cu12 12.1.0.106 nvidia-nccl-cu12 2.18.1 nvidia-nvjitlink-cu12 12.3.52 nvidia-nvtx-cu12 12.1.105...
As of CUDA 12.0 there is support for runtime LTO via the nvJitLink library. 6.6. Potential Separate Compilation Issues 6.6.1. Object Compatibility Only relocatable device code with the same ABI version, link-compatible SM target architecture, and same pointer size (32 or 64) can ...