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• A basic technique in parallel computing.• Processing Data in Rooted Directed Trees7111 2659 10438
• A basic technique in parallel computing.• Processing Data in Rooted Directed Trees71112345 68 9 10
Page 2 and 3: • Dedicated co-processorsthat han
Page 4 and 5: • Classic Irregular Algorithm•
Page 6: • Pointer Jumping Technique for t
Page 9 and 10: Thread Execution Control Unit1 2 M-
Page 11 and 12: CPU / HostKernel 1GridBlocks(0,0)GP
Page 13: • Simple Problem (Sequentially Sp
Page 17: • A basic technique in parallel c
Page 22 and 23: • Use pointer jumping repeatedly
Page 24 and 25: 100001000Time (Milliseconds)1001010
Page 26: • The original algorithm has n th
Page 29 and 30: 40961024256Time (Milliseconds)64164
Page 31 and 32: • Designed for SMPs - Sparse Ruli
Page 33 and 34: SuccessorArrayLocal Ranks2 4 8 1 9
Page 51 and 52: • Assume you select n/log n split
Page 55 and 56: • Each phase is coded as separate
Page 57 and 58: • Notice that choosing splitters
Page 59 and 60: • Two factors that contribute to
Page 61 and 62: • Ordered Lists are Lists with su
Page 64 and 65: • Parallel Processing of Graphs
Page 66 and 67: Each edge is replaced with a set of
Page 68 and 69:
• Once an Euler Path is construct
Page 70 and 71:
Load TreeConstruct Euler Path EPPer
Page 72:
120.00160.00100.00140.00Time (Milli
Page 75 and 76:
• Kernel Cycles consists of• Da
Page 77:
Memory Transactions128-byte segment
Page 80 and 81:
• Calculations
Page 82 and 83:
• Exploiting massive parallelism
Page 84:
• 2007 - 2008 Course Work at IIIT
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