Outline, Data on the Evolution of Interests and Communities
More on the Evolution of Interests and Communities
MLaroundHPDC/HPC and MLAutotuning
Learning Model Details and Agent Based Simulations
Challenges and Opportunities, Conclusions
Big Data analysis can be extremely time and resource consuming. Luckily, there is a solution that’s no stranger to complex analysis and data evaluation: High Performance Computing (HPC). In this course you’ll learn about HPC in a Big Data World.
Big Data requires the right HPC infrastructure and resources to support the high-performance data analytics that power artificial intelligence applications. Traditional enterprise IT technology can’t handle the complex and time-critical workloads that these applications require.
Deployed on premises, at the edge, or in the cloud, HPC solutions are used for a variety of purposes across multiple industries. Examples include: Research labs. HPC is used to help scientists find sources of renewable energy, understand the evolution of our universe, predict and track storms, and create new materials.
Cluster computing or High-Performance computing frameworks is a form of computing in which a bunch of computers (often called nodes) are connected through a LAN (local area network) so that they behave like a single machine.