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Intel’s Al Gara Presents: Technology Opportunities Like Never Before

Al Gara from gave this talk at the Intel HPC Developer Conference in Denver. “Technology visionaries architecting the future of HPC and AI will share the key challenges as well as Intel’s direction. The talk will cover the adaptation of AI into HPC workflows, along their perspective architectural developments, upcoming transitions and range of solutions, technology opportunities, and the driving forces behind them.”

Video: OpenACC Eases GPU Programming for HPC at SC17

In this video from SC17, Sunita Chandrasekaran from OpenACC.org and Stan Posey from NVIDIA describe how OpenACC eases GPU programming for HPC. “At SC17, OpenACC.org announced milestones highlighting OpenACC’s broad adoption in weather and climate models that simulate the Earth’s atmosphere, including one of this year’s Gordon Bell finalist. Additionally, the organization announced their hackathon momentum and the new  OpenACC 2.6 specification.”

Ireland Reaches #1 in TOP500 Supercomputers per capita

The 9th Irish Supercomputer List was released today. For the first time, Ireland has four computers ranked on the Top500 and Ireland is now ranked number one globally in terms of number of Top500 supercomputers per capita.

Ray Tracing on Intel Xeon Phi with Embree

In computer graphics, ray tracing is a rendering technique for generating an image by tracing the path of light as pixels in an image plane and simulating the effects of its encounters with virtual objects. “Experienced computer graphics developers that understand how ray tracing works, in conjunction with a deep knowledge of the Intel Xeon Phi processor hardware have created a set of ray tracing kernels that take advantage of the underlying instruction sets and the available number of computing cores.”

Intel FPGAs Power Acceleration-as-a-Service for Alibaba Cloud

Intel field programmable gate arrays (FPGAs) are now powering the Acceleration-as-a-Service of Alibaba Cloud. “Intel FPGAs offer us a more cost-effective way to accelerate cloud-based application performance for our customers who are running business applications and demanding data and scientific workloads,” said Jin Li, vice president of Alibaba Cloud. “Another key value of FPGAs is that they provide high performance at low power, and the flexibility for managing diverse computing workloads.”

Parallel Applications Speed Up Manufacturing Product Development

The product design process has undergone a significant transformation with the availability of supercomputing power at traditional workstation prices. With over 100 threads available to an application in compact 2 socket servers, scalability of applications that are used as part of the product design and development process are just a keyboard away for a wide range of engineers.

Intel Parallel Studio XE 2018 For Demanding HPC Applications

“For those that develop HPC applications, there are usually two main areas that must be considered. The first is the translation of the algorithm, whether simulation based, physics based or pure research into the code that a modern computer system can run. A second challenge is how to move from the implementation of an algorithm to the performance that takes advantage of modern CPUs and accelerators.”

Fayetteville State University Leverages Bright Cluster Manager for AI Research

Fayetteville State University is using Bright Cluster Manager for ground-breaking Artificial Intelligence research. Bright Cluster Manager enables the University to deploy complete clusters over bare metal and manage them effectively. Managing the hardware, operating system, HPC software, and its users is done with an elegant easy-to-use graphical user interface. With Bright Cluster Manager, IT/system administrators can quickly get clusters up and running and keep them running reliably throughout their lifecycle.

Purdue Adds New Resource for GPU-accelerated Research Computing

A new computing resource is available for Purdue researchers running applications that can take advantage of GPU accelerators. The system, known as Halstead-GPU, is a newly GPU-equipped portion of Halstead, Purdue’s newest community cluster research supercomputer. Halstead-GPU nodes consist of two 10-core Intel Xeon E5 CPUs per node, 256 GB of RAM, EDR Infiniband interconnects and two NVIDIA Tesla P100 GPUs. The GPU nodes have the same high-speed scratch storage as the main Halstead cluster.

Podcast: 18 Petaflop Stampede 2 Supercomputer Powers Research at TACC

In this Texas Standard podcast, Dan Stanzione from TACC describes Stampede2, the most powerful university supercomputer in the United States. “Phase 1 of the Stampede2 rollout, now complete, features 4,200 Knights Landing (KNL) nodes, the second generation of processors based on Intel’s Many Integrated Core (MIC) architecture. Later this summer Phase 2 will add 1,736 Intel Xeon Skylake nodes.”