NVIDIA has announced CUDA Toolkit 11 for general availability which introduces support for the new NVIDIA A100 based on the NVIDIA Ampere architecture, Arm A server is a computer application program that responds to requests for information from a client in a client/server relationship system. A typical example is a web server or pushing a web page to a web browser or a web server receiving email and transferring it to an email client. A server can also refer to the actual hardware designed... More processors, performance-optimized libraries, and new developer tools with improvements for A100.
This new release comes with new a host of new features and improvements. These include the ability to develop for the NVIDIA Ampere GPU architecture such as the new NVIDIA A100 GPU and multi-GPU systems based on A100 such as DGX A100 and HGX A10.
CUDA Toolkit 11 also supports the new third-generation Tensor Cores to accelerate mixed-precision matrix operations on different data types, including TF32 and Bfloat16.
Multi-Instance GPU virtualization and GPU partitioning capabilities for improved GPU utilization as well as library performance optimizations for linear algebra, FFTs, matrix multiplication, JPEG decoding, and more are now supported.
Other features include programming and API improvements for task graphs, asynchronous data movement, fine-grained synchronization, L2 A cache is a hardware or software that is used to store data temporarily in a computing environment for fast access to boost performance. This data is typically a small amount stored in a rapidly accessible storage media so that is can be accessed very fast. Typical components which make use of cache include the CPU, web browsers, and software... More residency control, and enhancements to the Nsight developer tools family for tracing, profiling, debugging, and roofline analysis.
CUDA C++ also gets a boost with compiler performance and usability improvements, new link-time optimization capabilities, support for new host compilers, and language standards including C++17.
Also on the same Parallel C++ STL support using libcu++ and integration of CUB as a CUDA C++ A chip in a computer is electronic circuits or an integrated circuit (also referred to as an IC or a microchip) embedded on a flat piece of semiconductor material that is normally silicon. Integrated circuits can be analog, digital, or mixed-signal. The minute size of computer chips brings the advantage of allowing high speed, low power dissipation, and reduced manufacturing... More library in the Toolkit has been added.
You can find out more about NVIDIA CUDA Toolkit 11 from the official CUDA page here.