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Dokumen ini berisi senarai kehadiran murid di SJK(T) LADANG HIGHLANDS, KLANG ke sudut PPDa dan lorong PPDa pada tahun 2014, yang mencatat nama murid, tahun, dan catatan lokasi (lorong/sudut) mereka.

SJK(T) LADANG HIGHLANDS,KLANG
SENARAI KEHADIRAN MURID KE SUDUT
PPDa DAN LORONG PPDa 2014

REKOD KEHADIRAN MURID
BIL NAMA MURID TAHUN CATATAN
(LORONG/SUDUT)
T/TANGAN

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1. Space, Time, Power: Evolving Concerns for Parallel Algorithms February 2008 2. Real and Abstract Parallel Systems • Space: where are the processors located? • Time: how does location affect the time of algorithms? • Power: what happens when power is a constraint? 3. Some Real Systems: IBM BlueGene/L 212,992 CPUs 478 Tflops #1 supercomputer since 11/04 At Lawrence Livermore Nat’l Lab ≈ $200 Million 3-d toroidal interconnect Max distance (# proc)1/3 4. Another Real System: ZebraNet PI M M a r t o n o s i 5. Location, Location, Location • Processors may only be able to communicate with nearby processors • or, time to communicate is a function of distance • or, many processors trying to communicate to ones far away can create communication bottleneck • Feasible, efficient programs need to take location into account 6. What if Space is actually Computers? Cellular Automata • Finite automata, next state depends on current state and neighbors’ states: location matters! • ≈ 1950 von Neumann used as a model of parallelism and interaction in space • Other research: Burks & al. at UM, Conway, Wolfram,… • Can model leaf growth, traffic flow, etc. 7. Parallel Algorithms: Time Maze of black/white pixels, one per processor in CA. Can I get out? Nature-like propagation algorithm: time linear in area Beyer, Levialdi ≈ 1970: time linear in edgelength. CA as parallel computer, not just nature simulator

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1. SJK(T) LADANG HIGHLANDS,KLANG SENARAI KEHADIRAN MURID KE SUDUT PPDa DAN LORONG PPDa 2014

2. REKOD KEHADIRAN MURID BIL NAMA MURID TAHUN CATATAN (LORONG/SUDUT) T/TANGAN

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