NVIDIA Announces New Software and Updates to CUDA, Deep Learning SDK and More
At the GPU Technology Conference, NVIDIA announced new updates and software available to download for members of the NVIDIA Developer Program … Read more
Category Archives: Accelerated Computing
NVSwitch: Leveraging NVLink to Maximum Effect
GPUs have been PCIe devices for many generations in client systems, and more recently in servers. The rapid growth in deep learning workloads has driven the need for a faster and more scalable interconnect, as PCIe bandwidth increasingly becomes the bottleneck at the multi-GPU system lev … Read more
Swinburne Launches New GPU-Accelerated Supercomputer
Swinburne University of Technology officially launched one of the most powerful supercomputers in Australia to help unlock the secrets of the Univers … Read more
Webinar: GPU-Accelerated Analysis of DNA Sequencing Data
Personalizing treatments based on patients’ genetic variation will revolutionize how medicine cures diseases; but time to analysis has become a major bottleneck … Read more
Detecting Gravitational Waves in Real-Time with Deep Learning
Scientists at the National Center for Supercomputing Applications (NCSA), located at the University of Illinois at Urbana-Champaign used GPUs and deep learning to rapidly detect and characterize gravitational waves … Read more
Oil Giant Launches Supercomputer to Analyze Subsoil Data
The Italian multinational oil giant Eni deployed a 18.6 petaflops GPU-accelerated supercomputer, making it the most powerful industrial system in the world … Read more
Supercomputer Helps Provide Insight Into Mysterious Black Hole Relativistic Jets
Researchers from University of Amsterdam and Northwestern University used the GPU-accelerated Blue Waters supercomputer to produce the first ever simulation to demonstrate that relativistic jets follow along with the precession of the tilted accretion disk around the black ho … Read more
Using CUDA Warp-Level Primitives
NVIDIA GPUs execute groups of threads known as warps in SIMT (Single Instruction, Multiple Thread) fashion. Many CUDA programs achieve high performance by taking advantage of warp execution … Read more
Hybridizer: High-Performance C# on GPUs
Hybridizer is a compiler from Altimesh that lets you program GPUs and other accelerators from C# code or .NET Assembly. Using decorated symbols to express parallelism, Hybridizer generates source code or binaries optimized for multicore CPUs and GPUs. In this blog post we illustrate the CUDA target … Read more
NVIDIA SDK Updated With New Releases of TensorRT, CUDA, and More
At NIPS 2017, NVIDIA announced new software releases for deep learning and HPC developers. The latest SDK updates include new capabilities and performance optimizations to TensorRT, CUDA toolkit and the new project CUTLASS library … Read more