Turing GPUs also inherit all the enhancements to CUDA introduced in the Volta architecture that improve the capability, flexibility, productivity, and portability of compute applications. For more in-depth information on the Turing architecture, read the NVIDIA Turing architecture whitepaper. The redesigned SM memory hierarchy results in 2x more bandwidth and more than doubles the L1 cache capacity available for compute workloads, relative to Pascal. Similar to Volta, the Turing SM provides independent floating-point and integer data paths, allowing a more efficient execution of workloads with a mix of computation and address calculations. Turing’s new Streaming Multiprocessor (SM) builds on the Volta GV100 architecture and achieves 50% improvement in delivered performance per CUDA Core compared to the previous Pascal generation. CUDA and Turing GPUsĬUDA 10 is the first version of CUDA to support the new NVIDIA Turing architecture. But for now, let’s begin our tour of CUDA 10. We will be publishing blog posts over the next few weeks covering some of the major features in greater depth than this overview. You can download the CUDA Toolkit 10 today. #TAP TITANS 2 OPTIMIZER V2.9.4 UPDATE#CUDA compatibility packages, available on enterprise Tesla systems, which allow users to access features from newer versions of CUDA without requiring a kernel driver update.Expanded developer platform and host compiler support for the major operating systems and compiler toolchains.A new Nsight product family of tools for tracing, profiling, and debugging of CUDA applications.Performance optimizations in CUDA libraries for FFTs, linear algebra, and matrix multiplication.A new asynchronous task-graph programming model in CUDA which enables more efficient launch and execution.Support for the Turing GPU architecture, including the new NVIDIA Tesla T4 GPU for hyperscale data centers, multi-GPU systems with the NVSwitch fabric such as the DGX-2 and HGX-2, and Drive AGX Pegasus and Jetson AGX Xavier, the AI platform for autonomous cars and autonomous machines.This post gives an overview of the major features in the release: #TAP TITANS 2 OPTIMIZER V2.9.4 SOFTWARE#The enhanced APIs and SDKs tap the power of new Turing GPUs, enable scaled up NVLINK-powered GPU systems, and provide benefits to CUDA software deployed on existing systems. Most recently, artificial intelligence systems and applications ranging from embedded systems to the cloud have benefited from high-performance GPUs.ĬUDA 10, announced at SIGGRAPH 2018 alongside the new Turing GPU architecture, is now generally available for all NVIDIA GPU developers. These include: high performance computing (HPC), data center applications, and content creation workflows. For the last eleven years, NVIDIA’s CUDA development platform has unleashed the power of GPUs for general purpose processing in a wide variety of applications.
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