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Despite the pervasiveness of cloud computing in the broader IT industry, the challenges of using this model for high performance computing are unique to the HPC paradigm. In an effort to help demystify and illuminate this important subject, HPCwire offers this first of a two part supplement series that will put the high performance cloud computing paradigm in the spotlight and assess its use in current implementations and deployments. In this supplement, we put our focus on the cloud computing opportunity in HPC and what is required to serve this market today.
Feature Articles
Timesharing 2.0
Is cloud computing today's hot technology that promises to lower TCO, reduce energy costs, and enable dynamic, agile datacenters -- or is it just the latest hype? That is, will cloud computing really happen and will it deliver on its promises? And what does it mean for high performance computing?
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Cloud Computing Vendors for HPC
The number of cloud offerings for HPC users seems to be growing by the day. In this article, we attempt to aggregate all the current vendors with products that address the cloud delivery model for high performance computing applications.
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Cloud Computing Opportunities in HPC
High-end, public cloud computing offerings represent a convergence of grid and Internet technologies, potentially enabling workable new business models. Smaller, private clouds are a technical evolution that expands the ease of use and deployment of grids in more organizations.
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Grids or Clouds for HPC?
Time and again, people ask questions like "Will HPC move to the cloud?" or "Now that cloud computing is accepted, are grids dead?" or even "Should I now build my grid in the cloud?" Despite all the promising developments in the grid and cloud computing space, and the avalanche of publications and talks on this subject, many people still seem to be confused and hesitant to take the next step.
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Grid Computing Done Right
Writing and implementing high performance computing applications is all about efficiency, parallelism, scalability, cache optimizations and making best use of whatever resources are available -- be they multicore processors or application accelerators, such as FPGAs or GPUs. HPC applications have been developed for, and successfully run on, grids for many years now.
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Cloud for Academia?
Grid computing was born in academia and was originally designed to support scientific and research computing. In contrast, cloud computing has a business background and is designed to enable the delivery of scalable Web applications. The BEinGRID project has looked into how Grid is appropriate for business use, but what about looking at whether the cloud is useful for academia?
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Case Studies & Whitepapers
Confronting HPC Cloud Computing Security Concerns
Source: IBM
Escalating energy and operational costs of building and maintaining data centers are forcing enterprises to adopt cloud computing models. But are Infrastructure as a Service (IaaS) solutions like IBM's Computing on Demand (CoD) really cost effective? Join the discussion as industry experts discuss how you can exploit cloud computing for maximum ROI.
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Intel-Univa Private Cloud ROI Case Study: Creating Business Value at Corus AEG
Source: UnivaUD
This ROI case study quantifies the benefits of an infrastructure transformation based on Intel® Xeon® Processor 5500 series processors and Univa private cloud software: Sys admin time reduced 80%; Power consumption reduced 40% (anticipated); $115,000+ cost savings (first 3 months); Hardware footprint reduced 82% (anticipated); Application performance doubled
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Recent Cloud Computing News
Limiting Latencies in the Cloud
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DOE Labs to Build Science Clouds
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NVIDIA Pitches GPU Computing in the Cloud
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IBM Computing on Demand Evolves Toward Cloud Computing Service
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Benchmarking Your Cloud
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