'Memoization' presentation slideshows

Dynamic Programming

Dynamic Programming. Dynamic Programming. Many problem can be solved by D&C (in fact, D&C is a very powerful approach if you generalize it since MOST problems can be solved by breaking it into smaller parts) However, some might show special behavior Optimal sub-structures

724 views • 30 slides

Dynamic Programming

Dynamic Programming. Nattee Niparnan. Dynamic Programming. Many problem can be solved by D&C (in fact, D&C is a very powerful approach if you generalize it since MOST problem can be solved by breaking it into parts) However, some might show special behavior Optimal sub structure

426 views • 30 slides

Instruction Selection II

Instruction Selection II. CS 671 February 26, 2008. The Back End. Essential tasks: Instruction selection Map low-level IR to actual machine instructions Not necessarily 1-1 mapping CISC architectures, addressing modes Register allocation Low-level IR assumes unlimited registers

396 views • 25 slides

Dynamic Programming

Dynamic Programming. What is Dynamic Programming. A method for solving complex problems by breaking them down into simpler sub problems. It is applicable to problems exhibiting the properties of overlapping subproblems which are only slightly smaller

413 views • 20 slides

Compsci 201 Recitation 12

208 views • 11 slides

An Efficient Profile-Analysis Framework for Data-Layout Optimizations

An Efficient Profile-Analysis Framework for Data-Layout Optimizations. By Shai Rubin, Rastislav Bodik, Trishul Chilimbi. Data-Layout Optimization. To improve memory hierarchy performance by exploiting spatial locality Group the data that is accessed together Minimizing cache conflicts

204 views • 8 slides

Dynamic Programming & Memoization

96 views • 8 slides