Today Optalysys announced that the company has successfully developed a demonstrable prototype that can process mathematical functions optically in a scaleable, lensless design. According to the company, Optalysys optical processing systems will “turbo-charge” existing computers by performing processor-intensive tasks at much faster rates and with a significant reduction in energy consumption.
Network upgrades are enabling more data-intensive science in Canada, reports WestGrid, one of four regional organizations working in partnership with Compute Canada. In the past year, the regional organization has transferred more than 5 PB of research data across Cybera and CANARIE’s advanced networks in the past year, representing a 22% increase in network traffic from 2013-14.
Today the Square Kilometre Array (SKA) Organization announced that it is teaming up with Amazon Web Services (AWS) to use cloud computing to explore ever-increasing amounts of astronomy data. To kick things off, they just issued a Call for Proposals for AstroCompute in the Cloud, a grant program to accelerate the development of innovative tools and techniques for processing, storing and analyzing the global astronomy community’s vast amounts of astronomic data.
“In this talk, Seagate presents details on its efforts and achievements around improving Hadoop performance on Lustre including a summary on why and how HDFS and Lustre are different and how those differences affect Hadoop performance on Lustre compared to HDFS, Hadoop ecosystem benchmarks and best practices on HDFS and Lustre, Seagate’s open-source efforts to enhance performance of Lustre within “diskless” compute nodes involving core Hadoop source code modification (and the unexpected results), and general takeaways ways on running Hadoop on Lustre more rapidly.”