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New OSC Supercomputer Named After Civil Rights Activist Ruby Dee

Ruby_Dee

Today the Ohio Supercomputer Center unveiled their new 144 Teraflop Ruby supercomputer. Powered by Intel Xeon Phi, the 144 Teraflop HP system is named after Cleveland-born activist Ruby Dee.

HPC News Roundup for March 27, 2015

hatnews

I’m on my way home from a series of Springtime HPC conferences with boatload of new videos and interviews on the latest in high performance computing. Here are some notable items that may have not made it to the front page.

HPC Market Update from Intersect360 Research

addison2

“The drive toward exascale computing, a renewed emphasis on data-centric processing, energy efficiency concerns, and the limitations of memory and I/O performance are all working to reshape High Performance Computing platforms. Many-core accelerators, flash storage, 3D memory, integrated networking, and optical interconnects are just some of the technologies propelling these future architectures. In concert with those developments, the HPC vendor landscape has been churning in response to broader market forces, and these events are going to drive some interesting changes in the coming year.”

Video: Increasing Cluster Throughput while Reducing Energy Consumption for GPU Workloads

rcuda

“The use of GPUs to accelerate applications is mainstream nowadays, but their adoption in cur- rent clusters presents several drawbacks. In this talk we present the last developments of the rCUDA remote GPU virtualization framework, which is the only one supporting the most recent CUDA version, in addition to leverage the InfiniBand fabric for the sake of performance.”

Nvidia Pascal GPU is Just One Year Away

Nvidia-Pascal

According to comments made at Nvidia’s GPU Technology Conference (GTC) last week, the Pascal, next generation GPU is now just a year away.

Nvidia Showcases Deep Learning Technology

Jen-Hsun Huang and Elon Musk

Nvidia’s GPU Technology Conference (GTC), being held in San Jose California this week, showcased a combination of hardware and software aimed at driving the development of a branch of machine learning called ‘deep learning’.

Radio Free HPC Wraps up the 2015 GPU Technology Conference

bubble

In this episode, the Radio Free HPC team wraps up the GPU Technology Conference. The theme of the show this year was Deep Learning, a topic that is heating up the market for GPUs with challenges like image recognition and self-driving cars. As a sister conference, the OpenPOWER Summit this week in San Jose showcased the first OpenPower hardware, including a prototype HPC server from IBM that will pave the way to the two IBM/Nvidia/Mellanox Coral supercomputers expected in 2017.

Video: Tesla Model S Goes Driverless with Software Update

In this video, Tesla does a field test of a software update that will bring powerful auto-steering functionality to its Model S fleet.

Replay: GTC Keynote on Deep Learning at Baidu

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“Deep Learning has transformed many important tasks, including speech and image recognition. Deep Learning systems scale well by absorbing huge amounts of data to create accurate models. The computational resources afforded by GPUs have been instrumental to this scaling. However, as Deep Learning has become more mainstream, it has generated some hype, and has been linked to everything from world peace to evil killer robots. In this talk, Dr. Ng will help separate hype from reality, and discuss potential ways that Deep Learning technologies can benefit society in the short and long term.”

QCT to Develop First x86 Servers with Nvidia’s NVLink Interconnet

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Today Quanta Cloud Technology (QCT) announced plans to build the first x86 CPU-based servers with Nvidia’s NVLink high-speed GPU interconnect technology. “NVLink unlocks the full potential of GPU accelerators by enabling CPUs and GPUs to transfer data at unprecedented speeds,” said Sumit Gupta, general manager of the Accelerated Computing business at NVIDIA. “QCT extends the benefits of NVLink to the x86 ecosystem and gives our customers an easy path to higher levels of enterprise and HPC application performance.”