Today, we announced our new ANSYS Enterprise Cloud solution, a combined service and software solution designed to help our global accounts move simulation into the public cloud. Based on my own discussions with customers, the solution is well-matched to current trends and business challenges. Let me explain. Continue reading
Regarding high performance computing (HPC), there are numerous improvements introduced into ANSYS Mechanical APDL16.0. However, I would like to focus this post on a feature that demonstrates the technological leadership of our company. ANSYS Mechanical APDL 15.0 was the first commercial FEA software product to support the Intel® Xeon Phi™ coprocessor. In ANSYS Mechanical APDL 16.0, we extend support for Xeon Phi hardware to virtually all users. The Xeon Phi coprocessors can now be used on either Linux or Windows, as well as with shared-memory parallel (SMP) and distributed-memory parallel (DMP). Continue reading
In a previous blog, I was expressing our privilege of having a strong HPC technology partnership with NVIDIA. Earlier this week, we announced a supercomputing milestone of scaling to 36,000 cores with fluid dynamics simulations being achieved thanks to a strategic partnership with the National Center for Supercomputing Applications (NCSA). Now, you may wonder what the relevance of this achievement is for you when you don’t have access to a supercomputer. Continue reading
Increasingly, we’re hearing from ANSYS customers who are interested in running simulation on the cloud. Along with enthusiasm for elastic capacity, we also hear a lot of questions about feasibility. One set of these questions centers around the challenge of moving big simulation datasets between the end-user desktop and the cloud computing engine. Our response has been “don’t move the data, analyze it on the cloud”. And that leads to the next question: “Can I run ANSYS on the cloud, and still maintain good interactive GUI and graphics performance?” Continue reading
In the first part of this two-part post about high-performance computing, I already addressed three commonly-held myths associated with HPC. Now I’ll address three myths that are related to particular concerns about HPC adoption.
Myth #4: “Without internal IT support, HPC cluster adoption is undoable” Continue reading
You’ve heard all the talk about simulation-based design. You’ve listened to colleagues— maybe even some of your competitors — wax on about how doing robust simulation studies early on in the design cycle leads to more and better product ideas while also optimizing use of materials. In fact, you’re sold on the need to embrace advanced analysis, but you just don’t see how it’s feasible given the perceived complexity and cost of the simulation software — not to mention, the high-powered workstation gear. Continue reading
Looking back at my notes from conversations with many engineers during our recent ANSYS Convergence Conferences, I must admit that I still came across some myths and misconceptions about high-performance computing (HPC) for engineering simulation. Let me share six really striking ones with you:
- HPC is available on supercomputers only
- HPC is only useful for CFD simulations
- I don’t need HPC – my job is running fast enough
- Without internal IT support, HPC cluster adoption is undoable
- Parallel scalability is all about the same, right?
- HPC software and hardware are relative expensive
You may have heard about the grounding of an Alaskan oil rig in January, 2013. The 28,000-tonne rig was pushed toward the shore by waves up to 35 feet and winds up to 62 mph, dragging its main towing vessel and a tug behind it. There have been several such oil rig incidents over the past few decades. The below image shows the failure of an another oil rig platform due to extreme wave forces. A huge wave hitting the offshore platform leads to high wave impact loads that can eventually result in significant platform damage and collapse. These incidents can cause fatalities and damages that can cost hundreds of millions of dollars. Continue reading