Today NVIDIA released Cuda 9.2, which includes updates to libraries, a new library for accelerating custom linear-algebra algorithms, and lower kernel launch latency.
CUDA 9 is the most powerful software platform for GPU-accelerated applications. It has been built for Volta GPUs and includes faster GPU-accelerated libraries, a new programming model for flexible thread management, and improvements to the compiler and developer tools. With CUDA 9 you can speed up your applications while making them more scalable and robust.
With CUDA 9.2, you can:
- Speed up recurrent and convolutional neural networks through cuBLAS optimizations
- Speed up FFT of prime size matrices through Bluestein kernels in cuFFT
- Accelerate custom linear algebra algorithms with CUTLASS 1.0
- Launch CUDA kernels up to 2X faster than CUDA 9 with new optimizations to the CUDA runtime
Red Hat works closely with NVIDIA to help bring the full power of NVIDIA CUDA to our users,” said Chris Wright, Vice President and Chief Technology Officer at Red Hat, Inc. “Collaborating with NVIDIA, we’ve paired the new features and performance improvements of CUDA 9.2 with new Red Hat Enterprise Linux versions, giving our expanding community of CUDA developers an easier-to-install, more tightly integrated software stack that helps deliver greater application performance for demanding AI and HPC workloads.”
Additionally, CUDA 9.2 includes bug fixes and supports new operating systems and popular development tools.
