Sai Prakash from HCL America gave this talk at the Stanford HPC Conference. “In this short talk we shall present an analytics workbench perspective (Pangea) that brings entire ADLC under single umbrella thus enabling collaboration, shrinking overall cycle time, easing model deployment efforts and allowing model monitoring. Actionable insights and visualizations are facilitated though service integration interfaces.”
Accelerating Big Data Processing with Hadoop, Spark and Memcached
February 14, 2015 by
In this video from the 2015 Stanford HPC Conference, DK Panda from Ohio State University presents: Accelerating Big Data Processing with Hadoop, Spark and Memcached.
GPU Accelerated Platforms for Deep Learning
February 5, 2015 by
“NVIDIA will present an update on accelerated computing, in particular, the latest de- velopments in the platform. They will touch upon NVLink, OpenPOWER, ARM64, and new software updates and also cover the broad-sweeping impact that a new field of machine learning, called Deep Learning, is having on applications and domains.”
DK Panda Presents: Big Data – Hadoop and Memcached
February 7, 2014 by
DK Panda from Ohio State University presented this talk at the Stanford HPC & Exascale Conference. “As InfiniBand is getting used in scientific computing environments, there is a big demand to harness its benefits for enterprise environments for handling big data and analytics. This talk will focus on high-performance and scalable designs of Hadoop using native RDMA support of InfiniBand and RoCE.”
