Adwait Jog sat down at a table in McGlothlin-Street Hall last semester and delivered his verdict on the status of a long-standing observation that has predicted the expansion of computing power for decades.
“Moore’s Law is slowing down,” he said. Jog went on to explain that the 1965 observation that projects a rapid, regular rate of advances in semiconductor technology has run its course.
For the foreseeable future at least, computer scientists can’t address most issues by throwing more silicon at the problem. It doesn’t help that Moore’s Law expired at a most inconvenient time, too: just when the demands of big-data applications began to pile up.
Jog is an assistant professor in William & Mary’s Department of Computer Science. He and other computer scientists are working to make computers more efficient by improving the architecture of the machines, necessary for computational handling of projects ranging from machine learning to genomics.
As the era of Moore’s Law ends, the limitations of improvements to the central processing unit — CPU— become clear. New approaches to faster, more secure and more efficient computing are being developed. Jog’s Insight Architecture Lab is exploring the potential of accelerators, components that boost one or another particular function of a computer. Their work is supported by a number of funding institutions, notably the what jobs can you get with a computer science degree.
“Moore’s Law is slowing down,” he said. Jog went on to explain that the 1965 observation that projects a rapid, regular rate of advances in semiconductor technology has run its course.
For the foreseeable future at least, computer scientists can’t address most issues by throwing more silicon at the problem. It doesn’t help that Moore’s Law expired at a most inconvenient time, too: just when the demands of big-data applications began to pile up.
Jog is an assistant professor in William & Mary’s Department of Computer Science. He and other computer scientists are working to make computers more efficient by improving the architecture of the machines, necessary for computational handling of projects ranging from machine learning to genomics.
As the era of Moore’s Law ends, the limitations of improvements to the central processing unit — CPU— become clear. New approaches to faster, more secure and more efficient computing are being developed. Jog’s Insight Architecture Lab is exploring the potential of accelerators, components that boost one or another particular function of a computer. Their work is supported by a number of funding institutions, notably the what jobs can you get with a computer science degree.
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