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Radio Free HPC Looks at the New Coral-2 RFP for Exascale Computers

In this podcast, the Radio Free HPC team looks at the new Department of Energy’s RFP for Exascale Computers. “As far as predictions go, Dan thinks one machine will go to IBM and the other will go to Intel. Rich thinks HPE will win one of the bids with an ARM-based system designed around The Machine memory-centric architecture. They have a wager, so listen in to find out where the smart money is.”

The Transformation of HPC: Simulation and Cognitive Methods in the Era of Big Data

Dave Turek from IBM gave this talk at the Swiss HPC Conference. “There is a shift underway where HPC is beginning to be addressed with novel techniques and technologies including cognitive and analytic approaches to HPC problems and the arrival of the first quantum systems. This talk will showcase how IBM is merging cognitive, analytics, and quantum with classic simulation and modeling to create a new path for computational science.”

IBM brings in Startups to Accelerate Quantum Computing

Over at the IBM blog, Jeff Welser writes that nearly 100 startups, venture capitalists, and industry thought leaders are gathering today at the first IBM Q Summit Silicon Valley event. “IBM Q Summit attendees are gathering to discuss what to expect over the next five years and what it means to be “quantum ready.” The discussion will inevitably also center on the emerging role of the quantum developer and what that means for future application development.”

Video: IBM Brings NVIDIA Volta to Supercharge Discoveries

In this video from GTC 2018, Adel El-Hallak from IBM describes how IBM and NVIDIA are partnering to build the largest supercomputers in the world to enable data scientists and application developers to not be limited to any device memory. Between IBM and NVIDIA, you can capitalize on the Volta 32GB memory and the entire system as a whole.

Video: Powering the Road to National HPC Leadership

Jack Wells from ORNL gave this talk at the 2018 OpenPOWER Summit. “The Summit supercomputer coming to Oak Ridge is the next leap in leadership-class computing systems for open science. Summit will have a hybrid architecture, and each node will contain multiple IBM POWER9 CPUs and NVIDIA Volta GPUs all connected together with NVIDIA’s high-speed NVLink. Each node will have over half a terabyte of coherent memory (high bandwidth memory + DDR4) addressable by all CPUs and GPUs plus 800GB of non-volatile RAM that can be used as a burst buffer or as extended memory.”

A Primer on Quantum Computing… with Doughnuts!

Jessica Pointing from MIT gave this talk at the IBM Think conference. “Because atoms and subatomic particles behave in strange and complex ways, classical physics can not explain their quantum behavior. However, when the behavior is harnessed effectively, systems become far more powerful than classical computers… quantum powerful.”

Video: IBM Quantum Computing will be “Mainstream in Five Years”

Talia Gershon from the Thomas J. Watson Research Center gave this talk at the 2018 IBM Think conference. “There is a whole class of problems that are too difficult for even the largest and most powerful computers that exist today to solve. These exponential challenges include everything from simulating the complex interactions of atoms and molecules to optimizing supply chains. But quantum computers could enable us to solve these problems, unleashing untold opportunities for business.”

IBM Launches Deep Learning as a Service

“IBM’s goal is to make it easier for you to build your deep learning models. Deep Learning as a Service has unique features, such as Neural Network Modeler, to lower the barrier to entry for all users, not just a few experts. The enhancements live within Watson Studio, our cloud-native, end-to-end environment for data scientists, developers, business analysts and SMEs to build and train AI models that work with structured, semi-structured and unstructured data — while maintaining an organization’s existing policy/access rules around the data.”

Video: IBM Sets Record TensorFlow Performance with new Snap ML Software

In this video, researchers from IBM Research in Zurich describe how the new IBM Snap Machine Learning (Snap ML) software was able to achieve record performance running TesorFlow. “This training time is 46x faster than the best result that has been previously reported, which used TensorFlow on Google Cloud Platform to train the same model in 70 minutes.”

SXSW Podcast: Quantum Computing – Science Fiction to Science Fact

In this podcast from from SXSW 2018, Antia Lamas-Linares from TACC moderates a panel discussion on quantum computing. “Imagine a new kind of computer that can quickly solve problems that would stump even the world’s most powerful supercomputers. Quantum computers are fundamentally different. They can store information as not only just ones and zeros, but in all the shades of gray in-between. Several companies and government agencies are investing billions of dollars in the field of quantum information. But what will quantum computers be used for?”