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Video: Blazegraph Accelerates Graph Computing with GPUs

“Analytics applied over complex, many-to-many data relationships hit the ‘Graph Cache Thrash’ bottleneck and grind to a halt, failing to deliver good performance or to operate at scale,” said Brad Bebee, SYSTAP CEO. “GPU hardware provides a compelling performance increase for data-intensive, predictive analytic applications. With Blazegraph and our new GPU products, users can harness the computing power comparable to what was only available from supercomputers, such as a Cray, at a fraction of the cost.”

Irish Supercomputer List Reflects HPC Growth

The fifth Irish Supercomputer List was released today with a full ranking of the nation’s HPC systems. Launched in November 2013 to raise the profile of High Performance Computing in Ireland and abroad, the list is updated twice annually with a continuous open call for participation from users and maintainers of Irish HPC installations.

Is the Future CPU+GPU or CPU+FPGA?

“At SC15, IBM, in turn, announced new offerings centered “on the tight integration of IBM’s Power processors with accelerators.” But it was an announcement about IBM’s interest in FPGAs that attracted attention. It has concluded a multi-year strategic collaboration with Xilinx to develop FPGA-enabled workload acceleration on Power-based systems. Through a private commercial agreement as well as by collaboration through the Open Power Foundation, the two companies are teaming up to develop open acceleration infrastructures, software, and middleware.

2016 Hackathons Seeking Team Applications

“The goal of each hackathon is for current or prospective user groups of large hybrid CPU-GPU systems to send teams of at least 3 developers along with either (1) a (potentially) scalable application that needs to be ported to GPU accelerators, or (2) an application running on accelerators which needs optimization. There will be intensive mentoring during this 5-day hands-on workshop, with the goal that the teams leave with applications running on GPUs, or at least with a clear roadmap of how to get there. Our mentors come from national laboratories, universities and vendors, and besides having extensive experience in programming with OpenACC/CUDA, many of them develop the GPU-capable compilers and help define the OpenACC standard.”

Accelerated Computing: The Path Forward

Nvidia’s Jen-Hsun Huang and Ian Buck presented this talk at SC15. “Supercomputing has swept rapidly from the far edges of science to the heart of our everyday lives. And propelling it forward – bringing it into the mobile phone already in your pocket and the car in your driveway – is GPU acceleration, Nvidia CEO Jen-Hsun Huang told a packed house at a rollicking event kicking off this week’s SC15 annual supercomputing show in Austin. The event draws 10,000 researchers, national lab directors and others from around the world.”

Deep Learning System Replaces Hand-Engineered Components With Neural Networks

Baidu Research has unveiled new research results from its Silicon Valley AI Lab (SVAIL). Results include the ability to accurately recognize both English and Mandarin with a single learning algorithm. The results are detailed in a paper: Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.

New Allinea 6.0 HPC Developer Tools Suite

Today Allinea released version 6.0 of their HPC development tools suite Allinea Forge and Performance Reports. Building on their commitment to serving the scientific HPC community, Allinea demonstrated the new features at SC15 last month in Austin.

Video: Bryan Catanzaro on HPC and Deep Learning at SC15

In this video from SC15, Bryan Catanzaro, senior researcher in Baidu Research’s Silicon Valley AI Lab describes AI projects at Baidu and how the team uses HPC to scale deep learning. Advancements in High Performance Computing are enabling researchers worldwide to make great progress in AI.

GPUs Power Facebook’s New Deep Learning Machine

Today Nvidia announced that Facebook will power its next-generation computing system with Tesla GPUs, enabling a broad range of new machine learning applications.

Cray CS-Storm Takes GPUs to New Levels of Scalability at SC15

“In this video from SC15, Amar Shan describes how the the Cray CS-Storm takes GPUs to new levels of scalability. Systems like the CS-Storm have propelled Cray to power 50 percent of the TOP500 supercomputers. While the Cray CS-Storm started out successfully in government sectors, the systems have gained traction in various commercial sectors including Oil & Gas.”