On October 23rd, 2014, we updated our
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Push: a Dataﬂow Shell
(Made by Streamline etc...) This
Noah Evans, Eric Van Hensbergen
f1 |< f3 >| f5
2. If everything’s a pipe in Dataﬂow
programming, why not use a shell?
... transforms to this syntax tree ...
>| ... which becomes this dataﬂow
pipelined command set.
... is just a large cmd |< cmd
combination of f3 pipe f5
these: $ cmd cmd cmd f5 0 14
f1 irf $ f1 f3
orf 9 pipe
pipe 0 f2
1 pipe 1
3. How? 4. Dataﬂow pipes 5. Record handling in pipes
•Shell should be orchestrator cmd1 |< cmd2 >| cmd3 •User Deﬁned: Implicit or Explicit
•Need a way to do Pipe → •ORF (output record ﬁlter)
! |< Fanout: one to many
Fork → Exec over a large •default hashes 1 to many
Number of machines ! >| Fanin: many to one •newline separated
•Need a way of moving to ! Must be paired •IRF (Input Record Filter)
records from byte streams •default merges buffers on newlines
6. Research Challenges + Future Work 7. Conclusions
•Exascale Pipe → Fork → Exec •Systems level not language level
•Graph optimization at XCPU3 •Easy to change record handling
•Cloud Integration •Conﬁgurable degree of parallelism
•Work-stealing •Cross Platform (Win32, Linux, OSX)
•Not Batch, Interactive
laptop → GPUtask → Celltask → BG/Ptask http://www.research.ibm.com/hare
•Willem de Bruijn. Adaptive Operating System Design for High Throughput I/O.
PhD thesis, Vrije Universiteit Amsterdam, 2010.
XCPU3 •M. Isard, M. Budiu, Y. Yu, A. Birrell, and D. Fetterly. Dryad: distributed data-parallel
programs from sequential building blocks. In Proceedings of the 2007 conference on
EuroSys, pages 59–72. ACM Press New York, NY, USA, 2007.
This work has been supported by the Department of Energy Of Ofﬁce of Science
See XCPU3 poster for more Operating and Runtime Systems For Extreme Scale Scientiﬁc Computation project under
details on job distribution contract #DE-FG02-08ER25851