IBM Platform Computing

We're on the road teaching new ways to harness big data and accelerate analytics

 

IBM Platform Computing

We're on the road teaching new ways to harness big data and accelerate analytics


Super Computing 2014 - HPC Matters

User Groups on Software Defined Storage and Platform LSF
November 17-19, New Orleans, USA

 

Super Computing 2014 - HPC Matters

User Groups on Software Defined Storage and Platform LSF November 17-19, New Orleans, USA


Maximize the Agility of your Distributed Computing Environment

Achieve operational efficiency, simplify user experience, optimize application license use & sharing, quickly address spikes in infrastructure demand, and reduce data management costs

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Maximize the Agility of your Distributed Computing Environment

Average IT spending increased 65% as a percentage of revenue over last two years.

IBM Platform Computing

We're on the road teaching new ways to harness big data and accelerate analytics with software-defined storage and cloud

IBM Platform GPU Harvesting Software

IBM Platform GPU Harvesting software for IBM Platform Symphony helps unleash the power of general-purpose GPUs by harvesting idle cycles. Automatically adapting resources to meet demands can reduce run times, improve service levels and help eliminate additional capital spending.


The Challenge

Not enough money for more GPUs?

For many large enterprises, grid computing is the best solution to handle large-scale jobs like analyzing big data. But with increasingly restrictive economic pressures, organizations like yours are looking for better ways to improve IT performance without incurring the large capital expenses required for infrastructure expansion. But for GPU-intensive applications, there never seems to be enough power available. And there’s usually little or no budget available for buying more.


The Solution

Get more GPUs without buying them

IBM® Platform™ GPU Harvesting software for IBM Platform Symphony extends the harvesting capabilities in Platform Symphony to unleash the power of general-purpose graphic processing units. This enables applications to scale beyond the confines a single GPU. This enables applications to share expensive GPU resources more effectively and to scale beyond the confines a single GPU. By sharing GPUs more efficiently among multiple applications, and by detecting and addressing GPU specific issues at run time, service levels are improved, and unnecessary capital spending is avoided.

Platform GPU Harvesting is an optional add-on available for both the Standard and Advanced editions of Platform Symphony. The software dynamically monitors demand for GPU cycles by applications. Then it can transparently tap your Platform Symphony grid’s available GPU cycles across multiple environments. That helps reduce wait times and improve application performance, while delivering more on-demand GPU power to applications that require it with simplified management.


The Benefits

Creating more GPU power for less

Platform GPU Harvesting software can improve your productivity picture.


The Specifics

Maximum GPU utilization

In most instances, Platform Symphony programming interfaces are unchanged when calling GPU-aware services. These include methods to invoke a GPU service, retrieve the GPU device ID or handle GPU-specific run-time error conditions. Because client APIs are unchanged, GPU compute services can be added seamlessly and made callable from heterogeneous clients running diverse application environments.


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