#CUDA TOOLKIT CODE#
New Compute Sanitizer – A functional correctness checking tool that helps you identify memory and threading errors in your CUDA code.Cuda-gdb – Improved load times, debug information, and parallel cuda-gdb sessions.Nsight Compute 2020.1 – Visualizations for Roofline Analysis, A100 memory system, and data compression, as well as theoretical peak (speed of light) metrics.Nsight Systems 2020.3 – Including support for MPI, OpenACC, and OpenMP, as well as improvement in the CLI, and complex data mining capabilities.By downloading and using the software, you agree to fully comply with the terms and conditions of the CUDA EULA. Nsight Systems 2020.3 & Nsight Compute 2020.1 – These releases are available now online, and with CUDA 11 on 7/8, and add support for the new NVIDIA Ampere GPU Architecture, and improved CPU feature parity for Power and ARM Server Base System Architecture. Click on the green buttons that describe your target platform.Nsight Tools – Developer tools for tracing, debugging, analyzing, and profiling CUDA applications.Async-copy is offered as an experimental feature in CUDA 11.Introducing Parallel C++ STL support using libcu++ and integration of CUB as a CUDA C++ core library in the Toolkit.Support for new host compilers and language standards including C++17.New link-time optimization capabilities.
Compiler performance and usability improvements.Support heterogeneous architectures with GPUs including X86_64, Arm64 server, and POWER architectures.Performance optimizations in CUDA libraries for linear algebra, FFTs, matrix multiplication, JPEG decoding, and more.Programming and API for task graphs, asynchronous data movement, fine-grained synchronization, L2 cache residency control.New third-generation Tensor Cores to accelerate mixed-precision matrix operations on different data types, including TF32 and Bfloat16.CUDA 11 adds the below new features, which are essential to achieve the performance promised by the Ampere architecture.
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