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Data Analytics Requires New Libraries

PCA DAAL benchmark

A convergence in the fields of High Performance Computing (HPC) and Big Data has led to new opportunities for software developers to create and deliver products that can help to analyze very large amounts of data. The HPC software ecosystem over the years have created and maintained sets of numerical libraries, communication API’s (MPI) and applications to make running HPC type applications faster and simpler to design. Low level libraries have been developed so that developers can concentrate on higher level algorithms. Products such as the Intel Math Kernel Library (Intel MKL) have been highly tuned to take advantage of multiple cores and newer instructions sets.

DDNtool Streamlines File System Monitoring at Oak Ridge


Over at Oak Ridge, Eric Gedenk writes that monitoring the status of complex supercomputer systems is an ongoing challenge. Now, Ross Miller from OLCF has developed DDNtool, which provides a single interface to 72 controllers in near real time.

Interactive Design Powers Visual Introduction to Machine Learning


Machine learning is the science of getting computers to act without being explicitly programmed. The new R2D3 Blog offers an instructive Visual Introduction to Machine Learning.

Intel Updates Developer Toolkit with Data Analytics Acceleration Library


Today Intel released Intel Parallel Studio XE 2016, the next iteration of its developer toolkit for HPC and technical computing applications. This release introduces the Intel Data Analytics Acceleration Library, a library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms.

Experts Focus on Code Efficiency at ISC 2015

DK Panda from Ohio State University conducts a tutorial at ISC 2015.

In this special guest feature, Robert Roe from Scientific Computing World explores the efforts made by top HPC centers to scale software codes to the extreme levels necessary for exascale computing. “The speed with which supercomputers process useful applications is more important than rankings on the TOP500, experts told the ISC High Performance Conference in Frankfurt last month.”

Titan Supercomputer Powers the Future of Forecasting


Knowing how the weather will behave in the near future is indispensable for countless human endeavors. Now, researchers at ECMWF are leveraging the computational power of the Titan supercomputer at Oak Ridge to improve weather forecasting.

Video: Computer Science – America’s Untapped Opportunity

“Software and computers are everywhere, revolutionizing every field around us. But the majority of schools don’t teach computer science. believes every student should have the opportunity to shape the 21st-century and wants to turn this problem around. This is just the beginning of a bold vision to bring this foundational field to every K-12 public school by 2020.”

Training the Next Generation of Code Developers for HPC – Part 2

Rob Farber gives a tutorial at SC14

This is the second article in a two-part series about the challenges facing the HPC community in training people to write code and develop algorithms for current and future, massively-parallel, massive-scale HPC systems.

Video: An Intuitive Introduction to the Fourier Transform and FFT

William Cox, Distil Networks

“The fast fourier transform (FFT) algorithm is a powerful tool for looking at time-based measurements in an interesting way, but do you understand what it does? This talk will start from basic geometry and explain what the fourier transform is, how to understand it, why it’s useful and show examples. If you’re collecting time-series data (e.g. heart rate, stock prices, server usage, temperature) the fourier transform can be a useful tool for analyzing the underlying periodic nature of the data.”

Training the Next Generation of Code Developers for HPC

Rob Farber

This is the first article in a two-part series by Rob Farber about the challenges facing the HPC community in training people to write code and develop algorithms for current and future, massively-parallel, massive-scale HPC systems.