March 04, 2013
CONCORD, NH, March 4 — Applied Math Modeling Inc., a leading provider of data center modeling software, announced today a partnership with CFD Technologies to represent the sales and support of the popular CoolSim data center design optimization software. CFD Technologies will provide the sales and support in Europe as the CoolSim product continues to gain momentum and popularity in the design and efficient operation of data centers.
"We are thrilled to be working with Applied Math Modeling and are excited to be representing the CoolSim product here in Europe," said John Stone, Partner of CFD Technologies. "The approach of combining a cloud based SaaS (Software as a Service) delivery model together with a highly automated CFD based data center design application is what the market has been waiting for."
Paul Bemis, CEO of Applied Math Modeling said: "CFD Technologies is a perfect partner to represent the CoolSim product. Their depth of knowledge, expertise, and excellent reputation for customer support fits very well into our overall plan to broaden the use of CFD modeling in the data center. This comes at a perfect time as we continue the rollout of our new CoolSim 4 implementation."
CoolSim 4 allows users to predict the effect of failed cooling units and the energy savings related to optimizing airflow using techniques such as containment (Hot-Aisle/Cold-Aisle) or reduced fan speeds. And because CoolSim 4 is highly scalable, data center energy optimization occurs through the rapid manipulation of design parameters.
CoolSim 4 is based upon an all new model building environment, which improves user productivity by allowing models to be built in multiple concurrent views. Thus the data center model can be constructed using both 2D and 3D views at the same time. The option to use multiple display monitors is also supported, offering additional on-screen real estate for building more accurate representations of the data center.
Once built, the model is automatically submitted to a hosted high-performance computing (HPC) cluster for processing using ANSYS/FLUENT (CFD) technology. After the simulation is complete, HTML output reports and 3D visual images are produced and sent to the user. This mechanism allows users to perform multiple "what-if" studies of their data centers to determine the optimal placement of existing equipment, evaluate new or alternative designs, or visualize the effect of adding new equipment to an existing room.
Industry's Only Cloud Based SaaS Model
Applied Math Modeling continues to drive down total cost-of-ownership (TCO) for customers by delivering CoolSim 4 using a "cloud based" Software as a Service (SaaS) model that includes the software and the computational capacity to perform the complex CFD calculations.
"No longer do users have to pay the high annual license fees or invest in expensive local servers to use a CFD based data center modeling tool," added Bemis. "With CoolSim 4, users can leverage the same technology used in the aerospace and automotive markets at a fraction of the cost of 'local processing only' solutions." By using the CoolSim 4 subscription model, occasional users can select a usage plan that meets their specific needs.
About CDF Technologies Inc
CFD Technologies was established in 2001 and is the UK distributor of the GRIDGEN/POINTWISE CFD mesher & the European distributor of the COOLSIM datacentre flow modelling software. Our mission is to provide you with CFD software that will make your job as an engineer much easier and more productive.
About Applied Math Modeling
Applied Math Modeling develops application-specific simulation software, driven by the rich set of industry proven ANSYS simulation engines. These applications are then delivered to the market using a cloud based "Software as a Service" (SaaS) model that is particularly well suited for periodic or occasional users. This unique approach reduces end user IT complexity and overall cost of ownership.
-----
Source: Applied Math Modeling
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
Read more...
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
Read more...
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a unified programming model for diverse data-intensive cloud computing paradigms.
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 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
Read more...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.