“In-memory database and analytics solutions enable significant performance gains in analyzing complex and diverse datasets. We’re talking about analysis in seconds or minutes rather than hours or days. This is how you get to real-time insight.”
“The speed, accuracy and cost at which enterprises can process big data analytics is the new competitive battleground, and we expect the need for results to greatly impact computing in 2014 and beyond,” said Rob Clyde, CEO of Adaptive Computing. “In our estimation, big data requires a streamlined approach to a complex data analysis and simulation process that can manage all resources across multiple computing platforms.”
“NumbaPro is a powerful compiler that takes high-level Python code directly to the GPU producing fast-code that is the equivalent of programming in a lower-level language. It contains an implementation of CUDA Python as well as higher-level constructs that make it easy to map array-oriented code to the parallel architecture of the GPU.”
“Watson Discovery Advisor uses Watson’s cognitive intelligence to save researchers time, after reading through, determining context and synthesizing vast amounts of data. It helps users pinpoint connections within the data to accelerate their work. Connections are made that are often overlooked within the enormous volume of information available from relevant data sources.”
“In 2014, HPC technology will combine original, un-fragmented data loads with visualization tools to map data—accelerating the creation of relational hypothesis. We will also start to see the first signs of machine learning for enterprise data insights as automated relational analysis enters the Big Data analytics space.”
New innovations from Adaptive Computing include: Moab Task Manager, a localized decision-making tool within Moab’s HPC Suite that enables high-speed throughput on short computing jobs. Adaptive has also announced a partnership with Intel to integrate Moab/TORQUE workload management software with the Intel HPC Distribution for Apache Hadoop software, which combines the Intel Distribution for Apache Hadoop software with the Intel Enterprise Edition of Lustre software.
As science drives a rapidly growing need for storage, existing environments face increasing pressure to expand capabilities while controlling costs. Many researchers, scientists and engineers find that they are outgrowing their current system, but fear their organizations may be too small to cover the cost and support needed for more storage. Join these experts for a lively discussion on how you can take control and solve the HPC data deluge.