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Brainy: Effective Selection of Data Structures. Why data structure selection is important How to choose the best data structure for a specific application Related work Brainy Evaluation Future work S ummary. Algorithms + Data Structures = Programs. Algorithms + Data Structures - PowerPoint PPT Presentation
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Brainy: Effective Selection of Data Structures
Why data structure selection is important How to choose the best data structure for a
specific application Related work Brainy Evaluation Future work Summary
Algorithms + Data Structures= Programs
Niklaus Wirth
Algorithms + Data Structures= Programs
Vector (Store ith item in A[i])
Alternative Data Structures Singly or
Double linked list
Find the ith item O(1) O(n)
Insert or delete an element O(n) O(1)
less cache misses, but may move all
elements when dynamic adjust size
Memory accessing more cache misses
Why data structure selection is important How to choose the best data structure for a
specific application Related work Brainy Evaluation Future work Summary
Data structure library
Asymptotic analysis
Developer depend on
DSLs are designed for common case,not consider application-specific situation
Asymptotic analysis is not accurate to data structures. Better asymptotic behavior may perform worse (for example, Fibonacci heap); Same asymptotic behaviors with different performances (splay tree often perform better than other balanced binary search trees).
Which interface functions are invoked, (how often the functions are used…)
What is the input for the data structure (data elements size, the number of elements…)
Which kind of underlying architecture the program running (cache size…)
What we need take into account?
The paper shows, between two different architectures Intel Core Q6600 and Intel Atom N270, 43% of the randomly generated application have different optimal data structures.
Related WorkL.Liu and S.Rus Perflint: A Context Sensitive
Performance Advisor for C++ Program
O.Shacham, M.Vechev, and E.Yahav. Chameleon: adaptive selection of collections
Why data structure selection is important How to choose the best data structure for a
specific application Related work Brainy Evaluation Future work Summary
How to get the training examples?
Is using real applications to train the machine learning algorithm a good suggestion?
How to get the training examples?Condition:
In order to avoid over fitting, every portion of the design space (input/ interface function) must be fully represented.
Application Generator: creating a variety of applications that test different parts of the overall space.
Feature Selection (Using genetic algorithm)Take a given subset of features as a
chromosome, and get the global optimum by mutation.
Artificial Neural Network
Why data structure selection is important How to choose the best data structure for a
specific application Related work Brainy Evaluation Future work Summary
Performance improvement Brainy achieved
Evaluation
27% on Core2 and 33% on Atom
Why data structure selection is important How to choose the best data structure for a
specific application Related work Brainy Evaluation Future work Summary
Exclude the interference from intervening instructions
Future Work
Why data structure selection is important How to choose the best data structure for a
specific application Brainy Evaluation Future work Summary
Selection of Data Structures is important Using machine learning in data structure
selection Hardware features Reduced overhead
Summary
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