My latest contact with SDSC’ers indicates that the facility was unharmed during the recent fires, and the center is beginning to resume operations.
As of 10/26 the center had returned its Blue Gene to service. More here.
Industry Perspectives
IBM's Plan to bring Machine Learning Capabilities to Data Scientists Everywhere
Over at the IBM Blog, IBM Fellow Hillary Hunter writes that the company anticipates that the world’s volume of digital data will exceed 44 zettabytes, an astounding number. "IBM has worked to build the industry’s most complete data science platform. Integrated with NVIDIA GPUs and software designed specifically for AI and the most data-intensive workloads, IBM has infused AI into offerings that clients can access regardless of their deployment model. Today, we take the next step in that journey in announcing the next evolution of our collaboration with NVIDIA. We plan to leverage their new data science toolkit, RAPIDS, across our portfolio so that our clients can enhance the performance of machine learning and data analytics." [Read More...]
White Papers
Paradigm and DDN: Achieving the Ultimate Efficiency for Seismic Data Analysis
For this report, DDN performed a number of experimental benchmarks to attain optimal IO rates for Paradigm Echos application workloads. It present results from IO intensive Echos micro-benchmarks to illustrate the DDN GRIDScaler performance benefits and provide some detail to aid optimal job packing in 40G Ethernet clusters. To find out the results download this guide.
Featured Job
Copyright © 2018
Leave a Comment