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Lessons Learned in Improving Scaling of Applications on Large GPU Clusters

In this video, Sarah Tariq from Nvidia presents: Lessons learned in improving scaling of applications on large GPU clusters. 

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CERN Workshop Looks at Next-Gen Scientific Computing

Over at International Science Grid This Week, Andrew Purcell has posted a summary of the recent workshop on the IT requirements for the next generation research infrastructures held at CERN on February 1. IT today is woven into the fabric of science and business; it’s an integral part of research, engineering and enterprise,” says Herbert Cornelius of Intel. 

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John Shalf on Energy Efficiency and its Impact on Requirements for Future Programming Environments

In this video, HPC Rockstar John Shalf from LBNL presents: Energy Efficiency and its Impact on Requirements for Future Programming Environments. The presentation was recorded at the HPC Advisory Council Stanford Conference 2013. 

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Video: Programming GPUs with Python

In this video from PyData NYC 2012, Andreas Klöckner from New York University presents a brief introduction to GPU programming with Python, including run-time code generation and use of high-level tools like PyCUDA, PyOpenCL, and Loo.py. Related posts:Slidecast: SPM.Python Expoits Parallelism with Fault ToleranceTerrel on Getting Started With Python in...

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Bright Cluster Manager Speeds Chinese Climate Change Research Efforts

This week Bright Computing announced that Tsinghua University in China is using the company’s software to manage its Hadoop-based cluster for climate modeling. The university selected Bright Cluster Manager because it provided a powerful solution for deploying, testing, provisioning, monitoring and managing its cluster while minimizing staffing requirements. We needed a solution that would provide deep insights and better visibility into every aspect of our cluster. Bright’s highly intuitive interface gives us a complete view, including the ability to drill...

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