Nvidia has a larger market share of GPU sales. What are the reasons for this larger share?
I cannot speak for computer game market, but in GPU computing, my answer is better software stack. The tools and libraries are simply more evolved, optimized, documented... Nvidia has also better marketing I think.
Assume a memory access bound workload such as graph analytics, machine learning, monte-carlo simulations etc. Assume a high-end single chip GPU of the current generation (2020).
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Works such as Mi6, InvisiSpec, and IRONHIDE, and many other works, target secure isolation of target processes. How do these works rank and work in terms of performance, complexity, and usability?
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Automation of various jobs is underway. What types of machine learning algorithms are used to replace human work?
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Computing takes significant power, resources, and man-power. What are the environmental implications of computing in this context?
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Performance prediction is required to optimally deploy workloads and inputs to a particular machine/accelerator in computing systems. Different predictors (e.g. AI predictors) come with different...
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This question stems from the latest papers in quantum machine learning. https://www.technologyreview.com/s/613119/quantum-computing-should-supercharge-this-machine-learning-technique/
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Quantum computers are known to perform well on a limited problem space. With fast incoming developments in their technology, are quantum computers going to be used as general purpose machines in...
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The reasoning behind this question is to align the ratios of the proton potential in energy per charge to the speed of light in distance per time. As these two dimensions appear to be related,...
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