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Video: Tyan Computing Steps Up with Intel Xeon Scalable Processors for HPC at ISC 2019

In this video, Rich Brueckner from insideHPC tours the Tyan booth at ISC 2019. The company exhibited a full line of HPC, storage and cloud computing server platforms. “TYAN’s leading portfolio of HPC, storage and cloud server platforms are based on the 2nd gen Intel Xeon Scalable processors and are designed to help enterprises and data center service providers capture, process, and analyze big data faster and at a more powerful rate than ever before.”

Video: Data-Centric Parallel Programming

In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. “To maintain performance portability in the future, it is imperative to decouple architecture-specific programming paradigms from the underlying scientific computations. We present the Stateful DataFlow multiGraph (SDFG), a data-centric intermediate representation that enables separating code definition from its optimization.”

FPGAs and the Road to Reprogrammable HPC

In this special guest feature from Scientific Computing World, Robert Roe writes that FPGAs provide an early insight into possibile architectural specialization options for HPC and machine learning. “Architectural specialization is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law. Using application-specific hardware to accelerate an application or part of one, allows the use of hardware that can be much more efficient, both in terms of power usage and performance.”

For the first time, all TOP500 Systems are Petaflop Machines

The latest TOP500 list of the world’s fastest supercomputers is out today, marking a major milestone in the 26-year history of the list. For the first time, all 500 systems deliver a petaflop or more on the Linpack benchmark. “Frontera at TACC is the only new supercomputer in the top 10, which attained its number five ranking by delivering 23.5 petaflops on HPL. The Dell C6420 system, powered by Intel Xeon Platinum 8280 processors.”

The Convergence of HPC and AI Workloads Requires Flexibility and Performance

Finding the best solution to meet the requirements for intertwined HPC and AI workloads requires us tolook at the overall platform benefits versus the benefits of individual technologies. With exascale on the horizon, the blending of HPC and AI algorithms, and ever-increasing data sets, having an overall robust platform is more important than ever. Intel makes the case for HPC and AI to share a common platform. 

The Pending Age of Exascale

In this special guest feature from Scientific Computing World, Robert Roe looks at advances in exascale computing and the impact of AI on HPC development. “There is a lot of co-development, AI and HPC are not mutually exclusive. They both need high-speed interconnects and very fast storage. It just so happens that AI functions better on GPUs. HPC has GPUs in abundance, so they mix very well.”

Software-Defined Visualization with Intel Rendering Framework – No Special Hardware Needed

This sponsored post from Intel explores how the Intel Rendering Framework, which brings together a number of optimized, open source rendering libraries, can deliver better performance at a higher degree of fidelity — without having to invest in extra hardware. By letting the CPU do the work, visualization applications can run anywhere without specialized hardware, and users are seeing better performance than they could get from dedicated graphics hardware and limited memory. 

AMD to Power Exascale Cray System at ORNL

Today AMD announced a new exascale-class supercomputer to be delivered to ORNL in 2021. Built by Cray, the “Frontier” system is expected to deliver more than 1.5 exaFLOPS of processing performance on AMD CPU and GPU processors to accelerate advanced research programs addressing the most complex compute problems. “The combination of a flexible compute infrastructure, scalable HPC and AI software, and the intelligent Slingshot system interconnect will enable Cray customers to undertake a new age of science, discovery and innovation at any scale.”

‘AI on the Fly’: Moving AI Compute and Storage to the Data Source

The impact of AI is just starting to be realized across a broad spectrum of industries. Tim Miller, Vice President Strategic Development at One Stop Systems (OSS), highlights a new approach — ‘AI on the Fly’ — where specialized high-performance accelerated computing resources for deep learning training move to the field near the data source. Moving AI computation to the data is another important step in realizing the full potential of AI.

Intel Addresses the Convergence of AI, Analytic, and Traditional HPC Workloads

HPC is no longer just HPC, but rather a mix of workloads that instantiate the convergence of AI, traditional HPC modeling and simulation, and HPDA (High Performance Data Analytics). Exit the traditional HPC center that just runs modeling and simulation and enter the world that must support the convergence of HPC-AI-HPDA computing, and sometimes with specialized hardware. In this sponsored post, Intel explores how HPC is becoming “more than just HPC.”