In this video from SC13, Trev Harmon from Adaptive Computing looks back to the utility computing vision of Douglas Parkhill and proposes an application-centric workflow for the future that fulfills that vision across many disciplines of computing.
In this podcast, Jason Fedder, Ritu Kama, and Ted Willke from Intel describe the company’s new Intel Data Platform, a family of software for Big Data Analytics. “As big data shifts from hype to reality, Intel is helping to break down the barriers to adoption by easing complexity and creating more value,” said Boyd Davis, vice president and general manager of Intel’s Datacenter Software Division. “Much like an operating system for big data processing, the Intel Data Platform supports a wide variety of applications while providing improved security, reliability and peace of mind to customers using open source software.”
In this slidecast, Dev Patel and Poulomi Damany from BitYota describe the company’s Data Warehouse Service. “We are a Data Warehouse Service (DWS) available on major cloud providers like Rackspace and Amazon. We are designed from the ground up for high performance analytics on JSON data from fast-changing applications including web & mobile analytics and NoSQL stores like MongoDB. We don’t impact your operational store or app and best of all, as a fully managed service, we take the headache out of having to set up and manage another data platform.”
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.”
“GigaSpaces Technologies provides software middleware for deployment, management and scaling of mission-critical applications on cloud environments through two main product lines, XAP In-Memory Computing and Cloudify. Hundreds of Tier-1 organizations worldwide are leveraging GigaSpaces’ technology to enhance IT efficiency and performance, from top financial firms, e-commerce companies, online gaming providers, healthcare organizations and telecom carriers.”
“Altiscale offers the first cloud service purpose-built to run Apache Hadoop. We run the latest version of Hadoop on custom infrastructure, augmented with Apache Hive, Pig, and Oozie, and with first-class support for Python, R, and Ruby. Altiscale’s infrastructure is faster, more reliable, easier to use, and more affordable than alternatives.”
“Big data techniques offer a way to analyze data pooled across many patients: their specific disease mutations, biological markers, the treatments, and outcomes — in order to identify unexpected ways that existing therapies can be applied and combined to create personalized treatments that dramatically improve the chances of survival.”
“Map-D uses multiple NVIDIA GPUs to interactively query and visualize big data in real-time. Map-D is an SQL-enabled column store that generates 70-400X speedups over other in-memory databases. This talk discusses the basic architecture of the system, the advantages and challenges of running queries on the GPU, and the implications of interactive and real-time big data analysis in the social sciences and beyond.”
In this slidecast, Kevin Murray from IBM introduces the company’s new X6 line of servers. Able to accommodate solid-state Flash drives in their DIMM memory slots, the new systems are designed to deliver significant improvements in the performance and economics of x86-based systems for analytics and the cloud.