"computing hardware" is correct and usable in written English.
You can use it to refer to the physical asset that runs a computer program, like a processor, hard drive, memory, etc. For example, "The new computing hardware ensures faster processing speeds."
CUDA programming can improve computations efficiently by using the computational power of massive computing hardware as graphics processing units (GPUs).
Love's computers, along with USB drives and old computing hardware, much of which belonged to his father, a computing enthusiast, left, too.
Electrophysiological heart models are sophisticated computational tools that place high demands on the computing hardware due to the high spatial resolution required to capture the steep depolarization front.
The Ptolemy group is cooperating with Sanders on the development of software for synthesizing configurations of adaptive computing hardware from high-level, abstract descriptions of computations.
His research interests are in computer architecture, power- and energy-efficient systems, robust computing, hardware security, neuromorphic computing, machine learning, approximate computing, neurosciences, emerging technologies, self-learning, cognitive systems, FPGAs, MPSoCs, and embedded systems.
A related feature of the cloud is the user's ability to change the computing hardware at will, such as selecting fewer, more powerful computers instead of a larger cluster if the computing task lends itself to this approach.
While it may seem odd for a broadcaster to be dabbling in computing hardware the Corporation has past precedent here, via the 1980s home computer the BBC Micro.
Computational methods, however, have limitations arising from the speed and capacity of computing hardware and small number of interacting proteins in the system (~50 different types of proteins) (McGuffee and Elcock, 2010).
It's an iron law of computing: hardware becomes commoditized, and the only question is how quickly.
Consumer computing hardware will accelerate the new innovation ecosystem and bring it to the patient bedside.
First, computing hardware simply could not tackle the scale of the challenge.
