Ponte Vedra Inn & Club, Ponte Vedra Beach, FL, March 19-21, 2017

Conference Themes

EnterpriseHPC’17 Main Theme:

Integrating Advanced Scale Computing and Enterprise IT – Creating a Converged Infrastructure for HPC, Big Data, and Cloud

PANEL #1: 

Siloed vs. Converged – Examining approaches to a blended HPC and enterprise datacenter environment

PANEL #2:

Technology Horizons: Exploring Advanced Scale technologies that accelerate business operations and analytics

PANEL #3:

On Ramp to HPC: Proven Paths to Advanced Scale Business Solutions, and barriers to enterprise HPC adoption

Conference sub-themes:

Wringing the Most Value from your Advanced Scale Computing Infrastructure

Creating efficiencies that maximize results, minimize costs, and increase returns

The road to building advanced scale systems to tackle a myriad of workloads in competitive commercial environments comes with perils that enterprises must fully understand and properly navigate. From balancing (and re-balancing) workloads, to hyper-convergence, virtualization and beyond, we will explore techniques organizations are putting into practice to increase throughput, lower latency, and increase ROI.

Also, what is ROI? It isn’t always monetary in the short-term, perhaps something about long-term benefits to moving to scalable computing models?

Future-proofed Workflows: Advanced Scale ROI

Demonstrating ROI of high performance computing in commercial environments through future-proofed workflows and skillsets

The complexities inherent in next-gen scalable architectures require greater outlays in infrastructure and support, including the manpower to leverage and optimize the performance of these advanced scale systems. Additionally, building out the staff to support and innovate scalable workflows will add a depth and efficiency to the company that will likely have long-term benefits on ROI. What kinds of ROI can the enterprise expect from this increased level of investment and support, and how soon?

Achieving Economies of Scale through Scalability

Sharing common resources between HPC and the datacenter to create an Advanced Scale Environment

The actual cost differential between HPC vs. a traditional IT infrastructure isn’t necessarily unbalanced if organizations can share resources within the datacenter. By combining needs and resources, the ROI is substantial. How do you build trust between traditional IT and HPC teams and create an integrated infrastructure and a cohesive team to get economies of scale?

Deployment Techniques to Grow Your Advanced Scale Environment on a Budget

Hybrid Infrastructures Utilizing Public Cloud, Government/Academic, and On-Premise Resources to Expand Capacity as Demand Increases

Every organization is asking its datacenter to solve challenges on every front for each of its departments. Advanced scale computing provides solutions to many of these challenges but how do you get started and how can you manage growth on a budget? Is the cloud the answer, or merely part of the answer? Are there solutions from government (DOE – National Labs) and academic (NSF – Supercomputing Centers) forerunners that are enterprise-friendly and can be leveraged? We explore deployment techniques for expanding capacity as demand increases.

When Worlds Collide: The Intersection of Big Data and HPC

Achieving productivity and profit through the application of advanced scale technologies and processes

The combined use of Big Data and HPC is changing business. There are many examples of companies conducting business in ways they never could have done before without this powerful combination of technologies – namely solving real time analytics with these advanced scale solutions. We look at case studies in which these two paradigms have collided to achieve results in productivity and profit.

Security vs. Performance?

Exploring newer security methodologies that enable the deployment of advanced scale computing without sacrificing security

For advanced scale systems to integrate into enterprise infrastructure, they must adhere to the same security, governance, and compliance policies that rule traditional IT systems. How are systems professionals securing these systems as they move beyond silos within engineering or R&D?