21 Questions
What is the basic execution model described in the text?
Fetch-Execute
What are the parameters mentioned in the equation C[i] = ∑A[i][k] * B[k]?
A[i][k], B[k], C[i]
What is the purpose of performance modeling?
To model the performance of an algorithm on a platform
What is the data access pattern for the Matrix Matrix Multiplication kernel?
Row-major order
Which of the following is NOT a platform mentioned in the text?
Memory Access
What is the number of operations involved in the LU Decomposition kernel?
Depends on the matrix size
Which of the following is NOT a key AI/ML kernel mentioned in the text?
Systolic Arrays
What is the purpose of performance modeling?
To identify important parameters that determine the performance of an algorithm mapped to a platform
What are the parameters mentioned in the equation C[i] = ∑A[i][k] * B[k]?
C[i], A[i][k], B[k]
What is the number of operations involved in the Matrix Matrix Multiplication kernel?
3
What is the data access pattern for the Matrix Vector Multiplication kernel?
Row-wise access
What is the basic execution model described in the text?
Fetch-Execute
What platforms are covered in cluster modeling?
Cluster Modeling
______ helps to identify important parameters that determine the performance of an algorithm mapped to the platform.
Performance Modeling
The number of operations involved in the LU Decomposition kernel is ______.
unknown
The parameters mentioned in the equation C[i] = ∑A[i][k] * B[k] are ______, ______, and ______.
RA, RB, M
The platforms covered in cluster modeling are ______.
unknown
The data access pattern for the Matrix Vector Multiplication kernel is ______.
unknown
The number of operations involved in the Matrix Matrix Multiplication kernel is ______.
unknown
The purpose of performance modeling is to ______ important parameters that determine the performance of an algorithm mapped to the platform.
identify
The basic execution model described in the text is ______.
Fetch-Execute
Quiz: Key AI/ML Kernels - Test your knowledge on matrix and vector multiplication, matrix-matrix multiplication, and LU decomposition. Understand their operations and data access patterns. Prepare for the midterm and design high-performing systems for AI. Join now!
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