The Enigmatic Nature of AI is a Problem That Needs Solving

When a poker-playing AI program developed at Carnegie Mellon university challenged a group of machine learning-savvy engineers and investors in China, the results were the same as when the software went up against professional card players: it beat its human competition like a drum. And that points to AI’s greatest strength, as well as its greatest weakness.

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After Almost 20 Years, Intel Jettisons IDF Event

In a surprise announcement sent out on Wednesday, Intel revealed it will discontinue their biggest tradeshow of the year: the Intel Developer Forum (IDF). The company explained the move as a result of an evolving event calendar that features more targeted product sets.

Knight Landing Xeon Phi with Omni-Path Make HPC Cloud Debut

Rescale, Intel, and R Systems have teamed up to provide an HPC cloud equipped with Intel’s “Knights Landing” Xeon Phi processors and the Omni-Path interconnect. The new platform, known as ScaleX Labs with Intel, is the first to bring this technology duo into the cloud computing realm.

IBM Beefs Up Power-Based Ecosystem with Data-Loving Anaconda

As part of IBM’s continuing effort to expand its AI portfolio, IBM is adding Anaconda, an open source analytics platform, to its Power-based cognitive computing offerings, as well as integrating it into its own PowerAI software distribution.

Berkeley Lab Supercomputer Breaks New Ground in Quantum Computing Simulation

Cori, the fifth fastest supercomputer in the world, has been used to model a 45-qubit circuit, which, by all accounts, is the largest simulation of a quantum computer ever achieved. The virtual circuit is just a handful of qubits short of a quantum computing system that would be more powerful than any conventional computer currently devised.

Hyperion Research Says HPC Server Revenues Hit Record Levels in 2016

Hyperion Research, the company that recently emerged from the spin-out of the IDC HPC analyst team, has come out with its 2016 server revenue numbers for high performance computing. Their data shows that global sales of these servers totaled $11.2 billion last year, up 4.4 percent from 2015, and beating the previous record of $11.1 billion in 2012.

IBM Adds NVIDIA P100 GPUs to Its Bare Metal Cloud Offering

IBM will soon be offering NVIDIA’s latest P100 GPU on its Bluemix cloud platform. The new option is aimed at users running AI and other types of performance-demanding analytics workloads.

Survey: Most Businesses Are Now Adopting Machine Learning Strategies

A recent survey compiled by MIT Technology Review and Google Cloud suggests that machine learning (ML) is being adopted by businesses at a rapid pace. According to data collected, 60 percent of respondents indicated they have already implemented ML strategies, with almost a third attesting they were at the “mature stage” of those efforts.

TACC Supercomputer Used to Help Diagnose Depression

David Schnyer, a cognitive neuroscientist at The University of Texas at Austin has developed machine learning software to diagnose depression based on MRI brain scans. The software was trained on Stampede, a 9.6- petaflop supercomputer housed at the Texas Advanced Computer Center (TACC). More News

In Depth

Can a Supercomputing Algorithm Kill Gerrymandering?

A supercomputing application that can figure out if state legislative districts have been unfairly drawn, has the potential to change electoral politics in the United States. According to its inventors at the University of Illinois at Urbana-Champaign, the application could be used by courts to determine if partisan gerrymandering has been used to unfairly manipulate these maps.

TOP500 Meanderings: Russia’s New Supercomputing Rankings Reflect Sluggish Growth in HPC There

This week Russia posted its list of the 50 most powerful supercomputing systems installed in the country. From the looks of things, not much is happening in the HPC space there. System turnover across the Top50 during the last six months was minimal and aggregate performance barely budged.

Google Reveals Technical Specs and Business Rationale for TPU Processor

Although Google’s Tensor Processing Unit (TPU) has been powering the company’s vast empire of deep learning products since 2015, very little was known about the custom-built processor. This week the web giant published a description of the chip and explained why it’s an order of magnitude faster and more energy-efficient than the CPUs and GPUs it replaces.

EU Outlines Plan to Develop Home-Grown Exascale Supercomputers

Ministers from seven European countries have signed on to a plan to develop an exascale capability based on technology developed within the EU member states. The goal is to bring up two pre-exascale supercomputers by 2020 and two full exascale systems no later than 2023.

More In Depth News

This Week in HPC

Google Justifies In-House Processor; EU Plans Home-Grown Exascale

Episode 168: Addison Snell and Michael Feldman discuss Google’s plans to scale its Tensor Processing Units through the cloud and the EU’s announced development of a home-grown exascale system.

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Sunway TaihuLight - Sunway MPP, Sunway SW26010 260C 1.45GHz, Sunway
Tianhe-2 (MilkyWay-2) - TH-IVB-FEP Cluster, Intel Xeon E5-2692 12C 2.200GHz, TH Express-2, Intel Xeon Phi 31S1P
Titan - Cray XK7 , Opteron 6274 16C 2.200GHz, Cray Gemini interconnect, NVIDIA K20x
Cray Inc.
Sequoia - BlueGene/Q, Power BQC 16C 1.60 GHz, Custom
Cori - Cray XC40, Intel Xeon Phi 7250 68C 1.4GHz, Aries interconnect
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Oakforest-PACS - PRIMERGY CX1640 M1, Intel Xeon Phi 7250 68C 1.4GHz, Intel Omni-Path
K computer, SPARC64 VIIIfx 2.0GHz, Tofu interconnect
Piz Daint - Cray XC50, Xeon E5-2690v3 12C 2.6GHz, Aries interconnect , NVIDIA Tesla P100
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Mira - BlueGene/Q, Power BQC 16C 1.60GHz, Custom
Trinity - Cray XC40, Xeon E5-2698v3 16C 2.3GHz, Aries interconnect
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