The advance of computer architecture is enabling big data analytics, machine lea

Question

The advance of computer architecture is enabling big data analytics, machine learning and new smart applications. Please read the following article before answering the questions:
Nvidia Announces New Drive PX 2 'Supercomputer in A Lunchbox' For Self-Driving Cars ( https://techcrunch.com/2016/01/04/nvidia-announces-new-drive-px-2-supercomputer-in-a-lunchbox-for-self-driving-cars/ ) (Source: techcrunch.com, 2016/01/04)

Please answer the following questions:

A. Nvidia is famous for making Graphics Processing Units (GPU's). Can GPU's be used for general purpose computing? How?

B. Which category does this PX 2 platform belongs: desktop, server, embedded, or supercomputer?

C. What is the power efficiency of the PX 2 platform, in terms of teraflops/watt?

D. Nvidia said that the PX 2 was as powerful as 150 MacBook Pros. Why don't we use it to make desktop computers? (In addition to answering yes/no, please give an explanation).

Explanation / Answer

GPU computing is the use of a graphics processing unit with a CPU to increase deep learning and analytics.the gpu accelerated computing offload compute-intensive portions of the application to the gpu. A GPU has a massively parallel architecture consisting of thousand of smaller or more efficient cores designed .

The PX 2 belong for SuperComputer .PX 2 feature cores representing 8 teraflops of calculation power.

Drive PX2 has 12 CPU cores , capable of 8 teraflops of processing power and 24 teraflops of deep processing operatons

Related Questions

Navigate

• Browse (All)
• Browse T
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.