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CS 267 Tricks with Trees

CS 267 Tricks with Trees

CS 267 Tricks with Trees. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr14. Outline. A log n lower bound to compute any function in parallel Reduction and broadcast in O(log n) time Parallel prefix (scan) in O(log n) time Adding two n-bit integers in O(log n) time

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319 views • 23 slides
CS 267 Tricks with Trees

CS 267 Tricks with Trees

CS 267 Tricks with Trees. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr13. Outline. A log n lower bound to compute any function in parallel Reduction and broadcast in O(log n) time Parallel prefix (scan) in O(log n) time Adding two n-bit integers in O(log n) time

★ ★ ★ ★ ★

315 views • 23 slides
CS 267 Tricks with Trees

CS 267 Tricks with Trees

CS 267 Tricks with Trees. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr09. Outline. A log n lower bound to compute any function in parallel Reduction and broadcast in O(log n) time Parallel prefix (scan) in O(log n) time Adding two n-bit integers in O(log n) time

★ ★ ★ ★ ★

332 views • 22 slides
CS 267 Tricks with Trees

CS 267 Tricks with Trees

CS 267 Tricks with Trees. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr09. Outline. A log n lower bound to compute any function in parallel Reduction and broadcast in O(log n) time Parallel prefix (scan) in O(log n) time Adding two n-bit integers in O(log n) time

★ ★ ★ ★ ★

223 views • 22 slides
CS 267 Tricks with Trees

CS 267 Tricks with Trees

CS 267 Tricks with Trees. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr05. Outline. A log n lower bound to compute any function in parallel Reduction and broadcast in O(log n) time Parallel prefix (scan) in O(log n) time Adding two n-bit integers in O(log n) time

★ ★ ★ ★ ★

242 views • 15 slides
CS 267 Tricks with Trees

CS 267 Tricks with Trees

CS 267 Tricks with Trees. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr06. Outline. A log n lower bound to compute any function in parallel Reduction and broadcast in O(log n) time Parallel prefix (scan) in O(log n) time Adding two n-bit integers in O(log n) time

★ ★ ★ ★ ★

245 views • 15 slides
CS 267 Tricks with Trees

CS 267 Tricks with Trees

CS 267 Tricks with Trees. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr05. Outline. A log n lower bound to compute any function in parallel Reduction and broadcast in O(log n) time Parallel prefix (scan) in O(log n) time Adding two n-bit integers in O(log n) time

★ ★ ★ ★ ★

153 views • 15 slides

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