July 5, 2013
Researchers from the physics department at the University of Washington at Seattle, through a grant from the National Science Foundation, created what they call a ‘virtual platform’ for scientific cloud computing, or SC2VP, which they simply named “SC2IT” for scientific cloud computing interface tools. Read more…
May 16, 2013
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2. Read more…
May 16, 2013
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2. Read more…
March 15, 2013
The top HPC cloud research story this week addresses the question: What if it were possible to cheaply and easily test the suitability of moving to a cloud platform – a virtual "try it before you buy it"? In other items, researchers explore the reliability of HPC cloud, take another pass at GPU virtualization, and evaluate I/O performance in Amazon's EC2 cloud. Read more…
November 13, 2012
Microsoft has unveiled a set of "big compute" capabilities for its Windows Azure offering. The company is courting the HPC space with more powerful hardware, new instance configurations, and the updated Microsoft HPC Pack 2012. Read more…
July 31, 2012
Traditionally running scientific workloads in AWS provides a diverse toolkit that allows researchers to easily sling data around different time zones, regions, or even globally once the data is inside of the infrastructure sandbox. However, getting data in and out of AWS has historically been more of a challenge. Cycle Computing's Andrew Kaczorek and Dan Harris offer some helpful tips on optimizing ingress and egress transfers. Read more…
June 26, 2012
Cloud computing offers highly flexible and available compute capacity for a variety of applications. However, the act of provisioning those resources can be rather complicated, requiring a certain level of expertise and consequently reducing cloud adoption. In 2005, Techila was created to simplify the act of using the cloud, developing middleware to bridge applications to external compute resources. Read more…
May 1, 2012
Bright Cluster Manager 6.0 allows users to extend on-site clusters or create entirely new clusters using the Amazon EC2 cloud, but what company officials are perhaps most proud of is the addition of data-aware scheduling. This set-it-and-forget-it job submission feature adds significant value to the cloud bursting model by boosting productivity and cycle times. Read more…
Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.
This paper describes how CoolIT Systems (CoolIT) meets the need for improved energy efficiency in data centers and includes case studies that show how CoolIT’s DLC solutions improve energy efficiency, increase rack density, lower OPEX, and enable sustainability programs. CoolIT is the global market and innovation leader in scalable DLC solutions for the world’s most demanding computing environments. CoolIT’s end-to-end solutions meet the rising demand in cooling and the rising demand for energy efficiency.
Divergent Technologies developed a digital production system that can revolutionize automotive and industrial scale manufacturing. Divergent uses new manufacturing solutions and their Divergent Adaptive Production System (DAPS™) software to make vehicle manufacturing more efficient, less costly and decrease manufacturing waste by replacing existing design and production processes.
Divergent initially used on-premises workstations to run HPC simulations but faced challenges because their workstations could not achieve fast enough simulation times. Divergent also needed to free staff from managing the HPC system, CAE integration and IT update tasks.
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