Have you written CUDA kernel during your previous internship?
Deep Learning Developer Interview Questions
43 deep learning developer interview questions shared by candidates
Have you written CUDA kernel during your previous internship?
The interviewer asked standard algorithm questions.
How do you perform masking in Tensorflow API?
Difference between CPU and GPU
Explain L1, L2, L3 cache
Why do you want to work at Intel?
- An assembly question about a SIMD architecture that I cannot remember exactly. - Given an array of points (x and y coordinates), implement a data structure (a heap) for insertion and deletion of n nearest ones. - Implement a CUDA kernel that computes the frequencies of numbers given in an array - Given a very large file containing integers, implement an algorithm that outputs sorted version. (also do space and time complexity analysis) - Implement an optimized CUDA kernel for matrix transpose (also had discussions about GPU architecture) - Present a system you designed and implemented, and explain the changes for desired features asked on the conversation. - Various questions about deep learning like explanation of optimization algorithms, difference between gradient descent and stochastic gradient descent, underfitting, overfitting, gradient clipping and many more.
Given historical stock prices, determine best date to buy and sell
Questions based on Resume, ML, Multi-threading, parallel programming, and C++
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