The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 28-198
Full Name: Anjali Mahajan
Position: Assistant Professor
Age: ON
Sex: Female
Address: GHRCE,NAGPUR
Country: INDIA
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E-mail address: armahajan@rediffmail.com
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Title of the Paper: Instruction Scheduling using Evolutionary Programming
Authors as they appear in the Paper: Anjali Mahajan M S Ali Mamta Patil
Email addresses of all the authors: armahajan@rediffmail.com, softalis@hotmail.com , mamta_shrungare@rediffmail.com
Number of paper pages: 10
Abstract: - Instruction scheduling is the problem of scheduling the assembly instructions output from the code generator to increase the efficiency of the final code. The instruction scheduling problem is mainly solved heuristically since finding an optimal solution requires significant computational resources and, in general, the problem of optimally scheduling instructions is known to be NP-Complete. In this paper, the specific problem of automatically creating instruction scheduling heuristics is addressed
Keywords: Compiler optimization, Instruction scheduling, Genetic programming, Machine learning
EXTENSION of the file: .pdf
Special (Invited) Session: Instruction Scheduling using Evolutionary Programming
Organizer of the Session: 606-220
How Did you learn about congress: Dr Raj Kamal Rrajkamal222@rediffmail.com, Katti Narayan Swami, Swami.kattinarayan@rediffmail.com
IP ADDRESS: 124.124.208.34
