NVIDIA HPC Developer

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Refactoring a Fortran application to use modern do concurrent loops in place of #OpenACC is a great way to drive #GPU acceleration. Read the latest blog in the Standard Parallel Programming Series to learn how. nvda.ws/3x230kY
The computational fluid dynamics revolution driven by #GPU acceleration has arrived. Learn more about this transitional moment for the largest single segment of industrial #HPC. nvda.ws/38oVxUL
Researchers at @KingsCollegeLon are using the NVIDIA Cambridge-1 supercomputer and @ProjectMONAI to create synthetic brain images to accelerate #AI in #healthcare. #ISC22 blogs.nvidia.com/blog/2022/05/3…
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Want to win an NVIDIA Jeston Nano Developer Kit? Submit your application for a chance to win the CUDA Math Libraries. Details here. nvda.ws/3afMqXg
Learn why industry has embraced NVIDIA GPU-accelerated computing. Combined with #AI, it is bringing millionfold leaps in performance for scientific advancement. nvda.ws/3x2Nfvd
This week, join us on #Twitch to talk through NVIDIA Modulus, a framework for developing physics machine learning neural network models, as well as its Omniverse extension. 📅 Wednesday, 6/1 @ 11am PT / 8pm CET
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Learn how #AI is accelerating a new wave of innovation and driving scientific discovery in the NVIDIA Special Address from #ISC22. Watch now. nvda.ws/3x3jIBS
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Missed the NVIDIA special address at #ISC22? Get a recap of our announcements here: nvda.ws/3NupbXI
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Learn how #NVIDIAOmniverse and BMW are leading virtual world simulations and how digital twins enable the next era of industrial virtualization and AI in our #ISC22 keynote blog. nvda.ws/3LZV21a
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Dozens of #quantum organizations are leveraging NVIDIA cuQuantum with the major quantum software frameworks to accelerate quantum circuit simulations on GPUs, paving the way to build tomorrow’s hybrid quantum systems. #ISC22
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Just announced—top global systems makers accelerate adoption of NVIDIA Grace CPU and Grace Hopper Superchips to create the next generation of servers turbocharging #AI and #HPC workloads for the exascale era. #ISC22 nvda.ws/3m2v7eB
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Read how #NVIDIAOmniverse is helping the UK’s Atomic Energy Authority and University of Manchester use digital twin simulation to connect design teams and gain deeper understanding of fusion plasma behavior. #ISC22 nvda.ws/3MX9bxs
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Learn how #HPC researchers in Asia, Europe and the U.S. are taking accelerated computing to the next level with NVIDIA BlueField DPUs on NVIDIA Quantum InfiniBand networks. #ISC22 nvda.ws/3aoK6gp
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.@ASU’s supercomputing capability for research and learning is about to jump light-years ahead with the addition of its new Sol supercomputer. “We are making a big commitment to GPUs with this new cluster, and it’s exciting" — ASU Director Speyer news.asu.edu/20220526-solut…
Discover how to quickly perform physics-informed super-resolution simulations that accurately reflect real-world performance using NVIDIA Modulus physics-ML models and @nvidiaomniverse #ISC22
At #ISC22 learn about NVIDIA Clara Holoscan and see how @UCBerkley researchers are using Holoscan and #AI to automatically detect biological events and auto focus the microscope while running experiments.
Watch as we share implementations of standard linear algebra algorithms in a range of programming models, including standard language parallelism, directives/pragmas, and CUDA, and how the performance and productivity varies across these. nvda.ws/3Mv0jir
Get a look into #FourCast, NVIDIA’s GPU-accelerated AI-enabled digital twin of Earth. You'll watch this emulate the dynamics of global weather patterns and predicts extreme weather events with unprecedented speed and accuracy. #ISC22
Explore the newest features added to C++ and Fortran to enable performance portable codes across GPU and CPU hardware. We'll also showcase performance results, and share how to use these techniques to improve performance portability for your own codes. nvda.ws/3wnBCPm
This NVIDIA Deep Learning tutorial at #ISC22 introduces the NVIDIA solution for quantum-classical computing. Join the hands-on tutorial demonstrating how #GPU-based quantum-classical programming is accelerating scientific computing workflows. nvda.ws/3NdFkAI
#MSBuild starts next week, here's your chance to learn how to get exclusive access to SDKs, technical documentation, peer, and domain expert help. Learn more about tools and training to accelerate AI, HPC, and graphics applications. nvda.ws/3MllnI9
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Learn all about Multi-GPU Programming with Standard Parallel C++ in part 1 of our deep dive. nvda.ws/3a8mv3L
Join our team virtually at #MSBuild May 24-26, and learn more about the latest technologies, tools, and techniques for #developers and #datascientists to take #AI to production faster. Preview our content line-up: nvda.ws/3FL5oR3
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We are excited to publish the Linux GPU kernel modules as #opensource with dual GPL/MIT license, starting with the R515 driver release. You can find the source code for these kernel modules in the NVIDIA Open GPU Kernel Modules repo on GitHub. nvda.ws/3swPGDO
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The NVIDIA platform is the most mature and complete platform for accelerated computing. Explore the simplest, most productive, and most portable approach to accelerated computing as we discuss three approaches that you can take for programming GPUs.
Watch as we demonstrate state-of-the-art in writing application code that is parallel and ready to run on GPUs, CPUs, and more, using only C++, Fortran, and Python. See what’s possible and learn best practices in writing parallel code with standard language parallelism.
Deep dive into the latest developments in NVIDIA software for #HPC applications, including a comprehensive look at what’s new in programming models, compilers, libraries, and tools. Watch Now.
Discover how @SiemensGamesa can quickly perform physics-informed super-resolution simulations that accurately reflect real-world performance using NVIDIA Modulus physics-ML models and @nvidiaomniverse. Watch now. nvda.ws/3P6tgmp
Join us at #ISC22 - check out our special address and keynote, swing by our partner booths, and view demos and content on our website. See how NVIDIA is #TransformingTheFuture.
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The latest release of #NVIDIADOCA offers new features and enhancements enabling developers to rapidly develop #DPU applications to optimize their data center infrastructure. Learn more about the release. nvda.ws/3MBGxRW
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NVIDIA Modulus is now available on NVIDIA GPU Cloud (NGC) Container for #AI developers worldwide. Developers can start with fully optimized neural network framework that blends the power of physics with #AI to build more robust models for better analysis. nvda.ws/3s7JZfa
What have we learned so far from the #GPU-accelerated NERSC Perlmutter supercomputer's fast paced leap into AI-for-science? See how NERSC has been ramping up its mixed #AI - #HPC workload capabilities. nvda.ws/3MG0s22
cuTENSOR is now able to distribute tensor contractions across multiple GPUs. This has been released as a new library called cuTENSORMg (multi-GPU). Read all about it here!
Great to meet Sir Patrick Vallance @uksciencechief today. Here we are discussing how using the power of GPUs is a key part accelerating the aerospace design process @whittlelab @NVIDIAHPCDev twitter.com/uksciencechief…
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Building scientifically accurate digital twins just became reality using #Modulus with #NVIDIAOmniverse and #AI.
Check out part 2 of Multi-GPU Programming with Standard Parallel C++ and learn all about ISO C++ algorithms and how to use MPI to scale.
Learn all about Multi-GPU Programming with Standard Parallel C++ in part 1 of our deep dive.
What's the best way to compile an application for the NVIDIA BlueField DPU? See several ways to set up a seamless build step nvda.ws/3KoGKal
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Take a look into #FourCast, NVIDIA’s GPU-accelerated AI-enabled digital twin of Earth. Learn how users can generate, visualize, and explore potential weather outcomes interactively with #AI and @nvidiaomniverse
🏆 🏆 Congrats to Turing Award Winner Jack Dongarra! We thank you for all your pioneering work in computational software which has paved the way for today's era o#HPCPC an#AIAI. Read about all of his accomplishmentsnvda.ws/3JZBMknnD1
We’re excited to collaborate with @nvidia! Looking forward to announcing more news soon regarding our Orquestra #quantum software platform and their cuQuantum SDK of optimized libraries and tools for accelerating #QuantumComputing workflows. #GTC22 nvidianews.nvidia.com/news/nvidia-in…
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Check it out! Qiskit can now utilize NVIDIA’s cuQuantum software development kit to help accelerate quantum simulations on classical computers. Learn more with a demo on the Qiskit Blog here: qisk.it/3qrA5Vb
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Congrats to our collaborators at @nvidia, who continue to push the state of the art on quantum circuit compilation, simulation, and more — cuQuantum and nvq++ are amazing additions to our already-rich ecosystem of tools! blogs.nvidia.com/blog/2022/03/2…
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Take a look at our rapid-fire overview of several new features we’ve recently added to our CUDA profiling, debugging, and IDE integration tools. Watch Now. #GTC22
Check out NVIDIA Clara Holoscan and see how @UCBerkeley researchers are using Holoscan and #AI to automatically detect biological events and auto focus the microscope while the experiment is running. Watch Now.
Here’s a peek into #FourCast, NVIDIA’s GPU-accelerated AI-enabled digital twin of Earth. Watch as this emulates the dynamics of global weather patterns and predicts extreme weather events with unprecedented speed and accuracy. #GTC22
Check out NVIDIA’s Senior Product Manager, @sam_stanwyck as a guest speaker on the @QubitGuy podcast. Listen now to hear them discuss all things quantum computing and more.
How does the new DGX cuQuantum Appliance benchmark against other quantum circuit simulation options on the market today? Find out in this #GTC22 quantum-focused session beginning shortly. nvda.ws/3utO6CC
#GTC22 was full of software releases, updates, and learning resources. From cuQuantum to Nsight Graphics, check out this recap of our top releases from this week.
Get an in-depth look at the new NVIDIA H100 GPU and the new features of the NVIDIA Hopper architecture. #GTC22
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