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Video: Inside Volta GPUs

Stephen Jones from NVIDIA gave this talk at SC17. “The NVIDIA Volta architecture powers the world’s most advanced data center GPU for AI, HPC, and Graphics. Features like Independent Thread Scheduling and game-changing Tensor Cores enable Volta to simultaneously deliver the fastest and most accessible performance of any comparable processor. Join us for a tour of the features that will make Volta the platform for your next innovation in AI and HPC supercomputing.”

Unstructured-Grid CFD Algorithms at NASA on Volta GPUs

Eric Nielsen from NASA gave this talk at SC17 in Denver. “In the field of computational fluid dynamics, the Navier-Stokes equations are often solved using an unstructured-grid approach to accommodate geometric complexity. Furthermore, turbulent flows encountered in aerospace applications generally require highly anisotropic meshes, driving the need for implicit solution methodologies to efficiently solve the discrete equations. To prepare NASA Langley Research Center’s FUN3D CFD solver for the future HPC landscape, we port two representative kernels to NVIDIA Pascal and Volta GPUs and present performance comparisons with a common multi-core CPU benchmark.”

NVIDIA TITAN V GPU Brings Volta to the Desktop for AI Development

Today NVIDIA introduced their new high end TITAN V GPU for desktop PCs. Powered by the Volta architecture, TITAN V excels at computational processing for scientific simulation. Its 21.1 billion transistors deliver 110 teraflops of raw horsepower, 9x that of its predecessor, and extreme energy efficiency. “With TITAN V, we are putting Volta into the hands of researchers and scientists all over the world. I can’t wait to see their breakthrough discoveries.”

Video: Introducing the 125 Petaflop Sierra Supercomputer

In this video, researchers from Lawrence Livermore National Laboratory describe Sierra, LLNL’s next-generation supercomputer. “The IBM-built advanced technology high-performance system is projected to provide four to six times the sustained performance and be at least seven times more powerful than LLNL’s current most advanced system, Sequoia, with a 125 petaFLOP/s peak. At approximately 11 megawatts, Sierra will also be about five times more power efficient than Sequoia.”

SC17 Video Replay: Jensen Huang from NVIDIA on the AI Revolution in HPC

We are excited to bring our readers this special livestream from NVIDIA at SC17 in Denver. Tune in right here for a live presentation from NVIDIA CEO Jensen Huang entitled, “Accelerated Computing: The Path Forward.” It all starts at Monday at 3:00pm Mountain time.

NVIDIA GPU Cloud comes to AWS with Volta GPUs

“In just a few steps, the NVIDIA GPU Cloud (NGC) container registry helps developers get started with no-cost access to a comprehensive, easy-to-use, fully optimized deep learning software stack. The cloud-based service is available immediately to users of the just-announced Amazon Elastic Compute Cloud (Amazon EC2) P3 instances featuring NVIDIA Tesla V100 GPUs. NVIDIA plans to expand support to other cloud platforms soon.”

Supermicro steps up with Optimized Systems for NVIDIA Tesla V100 GPUs

Today Supermicro announced support for NVIDIA Tesla V100 PCI-E and V100 SXM2 GPUs on its industry leading portfolio of GPU server platforms. With our latest innovations incorporating the new NVIDIA V100 PCI-E and V100 SXM2 GPUs in performance-optimized 1U and 4U systems with next-generation NVLink, our customers can accelerate their applications and innovations to help solve the world’s most complex and challenging problems.”

No speed limit on NVIDIA Volta with rise of AI

In this special guest feature, Brad McCredie from IBM writes that launch of Volta GPUs from NVIDIA heralds a new era of AI. “We’re excited about the launch of NVIDIA’s Volta GPU accelerators. Together with the NVIDIA NVLINK “information superhighway” at the core of our IBM Power Systems, it provides what we believe to be the closest thing to an unbounded platform for those working in machine learning and deep learning and those dealing with very large data sets.”

New PGI 17.7 Release Supports NVIDIA Volta GPUs

Today NVIDIA released Version 17.7 of PGI 2017 Compilers and Tools, delivering improved performance and programming simplicity to HPC developers who target multicore CPUs and heterogeneous GPU-accelerated systems.

NVIDIA Volta GPUs to Help CDDS Advance Medicine with AI

Over at the NVIDIA Blog, Abdul Hamid Halabi writes that the Center for Clinical Data Science (CCDS) today received the world’s first NVIDIA DGX systems with Volta. “Soon, Boston-area radiologists will have AI “assistants” integrated into their daily workflows, helping them more quickly and accurately diagnose disease from MRIs, CAT scans, X-rays and more. The trained neural networks residing on DGX-1 systems in CCDS’s data center are in a constant state of learning, continually ingesting countless medical images worldwide.”