Archives for January 2014

Fujitsu Simulates 3,000-Atom Nano Device

This week Fujitsu Laboratories announced that it has successfully simulated the electrical properties of a 3,000-atom nano device.

Data Science 101: Machine Learning, Part 3

The “How Machine Learning Works” lecture series continues to build on Bayes rule that was taught last time. We’ll define training and testing data sets and build a Bayesian classifier.

A Software Rosetta Stone for Supercomputing

Over at ZDnet, Nick Heath writes that a group of researchers from three UK universities are attempting to create a software Rosetta Stone. In such a system, the compiler decides for itself which hardware device is best suited to run a particular block of code.

We are posed with a very complex problem of program transformation if we want to tackle these heterogeneous systems and we can’t afford, one, to do the transformations manually, and, two, to be wrong,” said Dr Wim Vanderbauwhede of the University of Glasgow.

Flying Snakes on GPUs

“It would be hard to put a flying snake in a wind tunnel. So we are trying to put them in GPUs instead—via computational fluid dynamics. Our initial success is to see that a flying snake’s cross-section can in fact create quite some lift: it even has a favorite angle of attack for which it gives extra lift. We don’t know if this is the secret of flying snakes, but we do know that looking at nature can teach engineers some new tricks.”

Supercomputing Reveals Arctic Cyclones are more Common than Previously Thought

Researchers are HPC resources at the Ohio Supercomputer Center to better understand current weather patterns and potential climate change in the future.

Slidecast: Hybrid Cloud for Increased Scientific Agility

In this slidecast, Matt Herreras and Josh Simons from VMware describe how Hybrid Cloud powered by virtualization offers increased scientific agility for HPC workloads. Make no mistake; virtualization is coming to HPC in a Big Way, and everyone will benefit.

FlexPod Select with Hadoop

FlexPod Select with Hadoop delivers enterprise class Hadoop with validated, pre-configured components for fast deployment, higher reliability and smoother integration with existing applications and infrastructure. These technical reference architectures optimize storage, networking, and servers with Cloudera and Hortonworks distributions of Hadoop.

MapR Technologies CEO’s Big Data Predictions for 2014

Our friends over at MapR Technologies asked their CEO and Co-founder, John Schroeder, to convey his views on how several major trends will occur in 2014 that will impact how companies store, process, analyze and share big data.

Map-D: GPU-Powered Social Science Research in Real Time

“Map-D uses multiple NVIDIA GPUs to interactively query and visualize big data in real-time. Map-D is an SQL-enabled column store that generates 70-400X speedups over other in-memory databases. This talk discusses the basic architecture of the system, the advantages and challenges of running queries on the GPU, and the implications of interactive and real-time big data analysis in the social sciences and beyond.”

HPC Matters: Bill Feiereisen on how Supercomputing Drives Modeling and Simulation

In this video, Intel’s Bill Feiereisen discusses the importance of HPC in simulation and modeling. With the SC14 theme of “HPC Matters,” Bill’s message is one all of us in the high performance computing community need to share.