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RIPping through dataChallenges faced in the digital front end Martin Bailey CTO, Global Graphics
This presentation was created with assistance from our partners at Hewlett Packard.  Especial thanks are due to Dave Staas, Lead Software Architect, Indigo Digital Press DFE Acknowledgements
Introduction A Controller or Digital Front End (DFE) provides a number of functions for digital press print jobs: ,[object Object]
Job management (submission, status, view, edit, cancel, etc.)
Color, ink, and media management
Imposition and finishing management and control
The conversion of rich document formats like PDF and PPML into “print ready bits” – data that is rendered and formatted for the marking engine of the digital pressHP Indigo W7200 Digital Press
Constructing a DFE Control process RIP RIP Press controller Pre-processing Post-processing RIP Raster cache Job cache HP Indigo 7500Digital Press
Work allocation Interpreting/rendering –  Color management –  Imposition – ,  or  Trapping –  or  Screening –  or  Font handling –   Variable data –      + for PPML etc     for PDF with no h/w assist    + for PDF with h/w    (+) or (++) for PDF/VT Control process  RIP  Press controller  Pre-processing  Post-processing  RIP  RIP
What’s the Problem? ,[object Object]
A standard mid-range digital press (120 PPM) requires the processing of over one hundred million pixels every second, worst-case, with possibly multiple transforms, and in 4 (or more) colors
HP’s high-end presses (like the T400 below) require nearly three billion pixels every second
The primary performance goal for a DFE is to process any job or workflow at or above press speed – strive to always have the DFE outpace the press over a shift
Maximum efficiency must be exploited in every aspect of the system’s design in order to achieve this goal within reasonable cost constraintsHP T400 Color Inkjet Web Press HP Indigo 7500 Digital Press
18” 12”
Each color plane is 32 pixels/mm2 (4096 pixels as shown) 1mm 1mm 1 mm2
It’s solved for current jobs and current presses, but: Presses need higher data rates ,[object Object]
Higher paper speeds/pages per minute
Higher resolution (2x resolution = 4x raster size)It’s a solved problem, isn’t it?
Larger coverage of variable data in direct marketing, triggered by ,[object Object]
Better data mining techniques

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RIPping through data challenges of digital front ends

  • 1. RIPping through dataChallenges faced in the digital front end Martin Bailey CTO, Global Graphics
  • 2. This presentation was created with assistance from our partners at Hewlett Packard. Especial thanks are due to Dave Staas, Lead Software Architect, Indigo Digital Press DFE Acknowledgements
  • 3.
  • 4. Job management (submission, status, view, edit, cancel, etc.)
  • 5. Color, ink, and media management
  • 6. Imposition and finishing management and control
  • 7. The conversion of rich document formats like PDF and PPML into “print ready bits” – data that is rendered and formatted for the marking engine of the digital pressHP Indigo W7200 Digital Press
  • 8. Constructing a DFE Control process RIP RIP Press controller Pre-processing Post-processing RIP Raster cache Job cache HP Indigo 7500Digital Press
  • 9. Work allocation Interpreting/rendering –  Color management –  Imposition – ,  or  Trapping –  or  Screening –  or  Font handling –  Variable data – + for PPML etc  for PDF with no h/w assist + for PDF with h/w (+) or (++) for PDF/VT Control process  RIP  Press controller  Pre-processing  Post-processing  RIP  RIP
  • 10.
  • 11. A standard mid-range digital press (120 PPM) requires the processing of over one hundred million pixels every second, worst-case, with possibly multiple transforms, and in 4 (or more) colors
  • 12. HP’s high-end presses (like the T400 below) require nearly three billion pixels every second
  • 13. The primary performance goal for a DFE is to process any job or workflow at or above press speed – strive to always have the DFE outpace the press over a shift
  • 14. Maximum efficiency must be exploited in every aspect of the system’s design in order to achieve this goal within reasonable cost constraintsHP T400 Color Inkjet Web Press HP Indigo 7500 Digital Press
  • 16. Each color plane is 32 pixels/mm2 (4096 pixels as shown) 1mm 1mm 1 mm2
  • 17.
  • 19. Higher resolution (2x resolution = 4x raster size)It’s a solved problem, isn’t it?
  • 20.
  • 21. Better data mining techniques
  • 22.
  • 23. Expanding out of general design practice for books, publication, POD, print-for-pay and general commercial print
  • 24.
  • 28.
  • 29. Define which sets of pages go together in a hierarchical structure
  • 30. E.g. as components that will be supplied to a single direct mail recipient
  • 31.
  • 32. Sheer data volume required to drive current and future digital production pressesDoesn’t PDF/VT fix the problem?
  • 33.
  • 34.
  • 35.
  • 36. Parallelism – End-to-End Solution Press controllers deliver to presses Split into page ranges and assign to RIPs RIPs deliver data in parallel to press controllers Split files into multiple “partitions” or chunks and process in parallel Parallelize early, maintain multiple parallel pipelines Parallelize in pre-RIP, where the data is much smaller (1/7th the size) Process multiple jobs in parallel Different variations optimize first-page-out, engine loading or throughput
  • 37.
  • 40. Multiple physical disks per logical disk
  • 41. Multiple (teamed/bonded) network interfaces per logical network connection
  • 43. Multiple threads per RIPParallelism – Within a Machine We invest effort to take advantage of all of these machine-level parallelisms:
  • 44. Digital printing architectures need careful design Many different strategies must be employed in unison for the best effect Key architectural considerations can help guide your efforts Selection of the best components and supplier/partners is an important aspect The ultimate goal is to reduce cost, power, and cooling for customers Summary
  • 45. Q&A More information at www.globalgraphics.com/imiconf