- Editorial Contributor
Frank Ohlhorst is chief analyst and freelance writer at
Ohlhorst.net. Send e-mail about this article to
[email protected].
Latest from Frank
An example of what product line engineering means to the design engineer.
The technology gives engineers at Ford and other companies an early look at designs.
Dell’s Workstation Virtualization Center of Excellence showcases how virtualization can speed engineering tasks and reduce costs.
The NCSA wants to share its supercomputing resources with private industry.
Volvo Cars has long recognized the importance of leveraging noise, vibration and harshness simulation software to improve its vehicles.
The quest to deliver higher performance levels, while keeping power consumption and costs under control.
CAD relies on high-performance systems to meet the productivity levels engineers need to remain competitive.
Engineers need to choose the right computing hardware to do the job or risk harming productivity and increasing costs.
APUs, CPUs and GPUs are driving the next generation of simulation software, 3D modeling solutions and advanced design systems.
Simulation data can consume massive amounts of storage -- stressing networks, infrastructures and engineers.
Virtualization promises a solution to the budget constraints and challenges associated with deploying new engineering computing hardware.
Choosing where to run complex computational models has become a choice driven by more than just costs. Today, many factors come into play when choosing from among the traditional workstation, onsite computing grid or cloud services.
Often overlooked in the bandolier of high-performance computing components is storage, where speed equals results and reliability equals success.
To outsource training or not to outsource training, that is the question for growing engineering and professional firms.
Creating embedded systems takes skill, components, time and most importantly, the ideas that fuel innovation.