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Mohamed Zahran
New York University
New York, New York
 

Mohamed Zahran is a faculty member at the Computer Science Department at the Courant Institute of Mathematical Sciences at NYU. His research expertise spans several areas of computer architecture, including the architecture of heterogeneous systems, hardware/software interaction, and biologically inspired architectures. In addition to publishing many refereed papers with graduate and undergraduate students, Zahran introduced the first GPGPU course at NYU and his teaching materials are widely used beyond NYU.

Zahran received his PhD in Electrical and Computer Engineering from the University of Maryland at College Park. He is a senior member of the IEEE, a senior member of the ACM, and a member of the Sigma Xi scientific honor society.


     

The code: Silicon Valley and the remaking of America
O’Mara M., Penguin Press, New York, NY, 2019. 512 pp.  Type: Book (978-0-399562-18-1)

Whenever the word “technology” is mentioned, Silicon Valley comes to mind. This was not the case a few decades ago. So, what happened? Why Silicon Valley? This is the main topic of the book....

 

Understanding co-running behaviors on integrated CPU/GPU architectures
Zhang F., Zhai J., He B., Zhang S., Chen W. IEEE Transactions on Parallel and Distributed Systems 28(3): 905-918, 2017.  Type: Article

Graphics processing units (GPUs) are used in many applications that are not necessarily related to graphics. With the rise of big data and machine learning, GPUs gain more importance. GPUs exist in two different “flavors&...

 

The stuff of bits
Dourish P. (ed), MIT Press, Cambridge, MA, 2017.  Type: Book (9780262036207)

We live in the Information Age, but that does not mean everything is virtual. We use our computers, which are physical entities. These computers are connected to data centers scattered across the globe, and these are physical entities....

 

Scientific programming and computer architecture
Viswanath D., The MIT Press, Cambridge, MA, 2017. 624 pp.  Type: Book (978-0-262036-29-0)

You can find books that teach you how to write efficient code in a specific language. The efficiency here comes from using good algorithms and making the best use of the language capability. You can also find books that discuss compute...

 

Foundations of quantum programming
Ying M., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2016. 372 pp.  Type: Book (978-0-128023-06-8), Reviews: (1 of 2)

We keep hearing several buzzwords: big data, Internet of Things, machine learning, and quantum computing. This last one is the most “futuristic” among them in the sense that you cannot go online and buy a quantum co...

 
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