HPC Users Get Help with System Productivity, Goal-alignment and Resource Planning with DecisionHPC from X-ISS

New comprehensive web-based DecisionHPC software provides dashboard, analytic and reporting functions on diverse cluster systems. (Read article on PRWeb.)

Houston, TX (Vocus) August 24, 2010 – DecisionHPC, a Web-based monitoring and analytics software package that helps high performance computing (HPC) customers achieve maximum system productivity and goal alignment while serving as a tool to accurately plan for future computing resource needs, has completed its beta-test period and is now widely available to customers through X-ISS. DecisionHPC pricing is as low as $2 per node, monthly, and is an ideal software solution for any HPC organization where monitoring, tracking and reporting on system analytics is important. More information on DecisionHPC can be found at https://x-iss.com/decisionhpc/.

Through in-depth data-collection, analytic and reporting functions of heterogeneous and distributed HPC cluster systems, DecisionHPC provides valuable user insights that help align HPC resources with business goals and maximize system productivity, and helps organizations make smarter HPC purchase decisions. X-ISS (eXcellence in IS Solutions, Inc.) is a leading information services solutions provider focused on supporting HPC and enterprise infrastructure customers, and has developed DecisionHPC based on its nearly 18 years of experience supporting customer sites.

“There is a real need for a tool like DecisionHPC that collects system data from a variety of sources and integrates that data into one useful dashboard. The diversity of hardware and middleware in our systems creates some challenges, and it seems DecisionHPC can address most of these. For intelligent planning, the ability to track, store and mine historical data, DecisionHPC appears to present a very valuable solution.”·

– HPC Reservoir Solutions Lead, at a global energy and petrochemicals company

“With more than 500 HPC cluster system installations and support services since 1993, X-ISS has observed that most users of HPC systems struggle to maximize system productivity, aligning computing resource usage with organizational goals, and plan for future needs; these problems stem from what until now, has been a lack of detailed and insightful system statistics and analytics, and is the reason we have developed DecisionHPC. The ability to monitor, report on and provide immediate, historical and forecasted system data and analytics, even on heterogeneous and geographically separate systems, provides HPC users new capabilities that are critical to optimizing ROI on HPC investments.”

– Deepak Khosla, founder and CEO of X-ISS


Key Features & Benefits

Maximizing Productivity – DecisionHPC allows managers to track and charge projects and users for cluster system use, creating a system where users can budget for resource usage. This allocation of system usage along with the insight provided into system performance encourages maximum system productivity and utilization that is aligned with company objectives and goals.

Aligning HPC resources with business goals – Aligning HPC resources with business goals and priorities is achieved through DecisionHPC’s ability to provide critical instant and historical information from distributed heterogeneous environments. This allows tracking of current priorities as well as forecasting demand based on trends.

Smarter HPC purchase decisions – By tapping into DecisionHPC’s historical graphing and reporting, users have greater vision into future computing needs, aiding with new computing system planning and acquisition. From smaller system growth planning to heterogeneous and geographically diverse systems, this holistic view of a customer’s system, usage and demand is vital for maximizing purchase investments in the future.

DecisionHPC Metrics provides a holistic view of heterogeneous, geographically-dispersed environments, users, applications and projects. DecisionHPC gathers metrics from a variety of HPC deployments, both proprietary and open source, and consolidates them into a single repository. DecisionHPC features include heat maps, batch and live reporting, alerting, and portlets, among other features. Key data sources include:

  • Cluster resources
  • Storage
  • Schedulers
  • Applications
  • Jobs (Users, Groups, Projects, etc.)