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Python for HPC and the Intel Xeon Phi

“In GPAW, the high level nature of Python allows developers to design the algorithms, while C can be implemented for numeric intensive portions of the application through the use of highly optimized math kernels. In this application, the Python portions of the code are serial, which makes offloading to the Intel Xeon Phi coprocessor not feasible. However, and interface has been developed, pyMIC, which allows the application to launch kernels and control data transfers to the coprocessor.”

OCF Deploys Fujitsu HPC Cluster at University of East Anglia

OCF in the U.K. recently deployed a new Fujitsu HPC cluster at the University of East Anglia. As the University’s second new HPC system in 4-years, the cluster can be easily scaled and expanded in the coming months through a framework agreement to match rapidly increasing demand for compute power.

Job of the Week: Python Software Engineer at Penguin Computing in Portland

Penguin Computing in Portland is seeking a Python Software Engineer in our Job of the Week.

FlyElephant Startup Announces Support for R, Python, and Public API

Today the good folks at FlyElephant announced support for R, Python, and public API for the participants of its beta testing program.

Video: Democratizing Data Science

“CDSW’s organizers are professional programmers and data scientists and several of us have experience teaching data science in more traditional university and corporate settings. Our talk will describe how “democratized” data science is similar to — and sometimes extremely different from — these more traditional approaches. We will talk about some of the challenges we have faced and highlight some of our most inspirational successes.”

A Systems View of Machine Learning

“Despite the growing abundance of powerful tools, building and deploying machine-learning frameworks into production continues to be major challenge, in both science and industry. I’ll present some particular pain points and cautions for practitioners as well as recent work addressing some of the nagging issues. I advocate for a systems view, which, when expanded beyond the algorithms and codes to the organizational ecosystem, places some interesting constraints on the teams tasked with development and stewardship of ML products.”

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. Code.org 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.”

Video: Supernova Cosmology with Python

In this video from PyData Seattle 2015, Rahul Biswas from the University of Washington presents: Supernova Cosmology with Python.

Video: High-Throughput Processing of Space Debris Data

“Space Debris are defunct objects in space, including old space vehicles (such as satellites or rocket stages) or fragments from collisions. Space debris can cause great damage to functional space ships and satellites. Thus detection of space debris and prediction of their orbital paths are essential for today’s operation of space missions. The talk shows the Python-based infrastructures BACARDI for gathering and storing space debris data from sensors and Skynet for high-throughput data processing and orbital collision detection.”

Computation at the Edges from PyData Seattle

In this video from PyData Seattle 2015, Van Lindberg from Rackspace presents: Computation at the Edges.