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HandWiki. IBM BLU Acceleration. Encyclopedia. Available online: https://encyclopedia.pub/entry/31949 (accessed on 16 October 2026).
HandWiki. IBM BLU Acceleration. Encyclopedia. Available at: https://encyclopedia.pub/entry/31949. Accessed October 16, 2026.
HandWiki. "IBM BLU Acceleration" Encyclopedia, https://encyclopedia.pub/entry/31949 (accessed October 16, 2026).
HandWiki. (2022, October 31). IBM BLU Acceleration. In Encyclopedia. https://encyclopedia.pub/entry/31949
HandWiki. "IBM BLU Acceleration." Encyclopedia. Web. 31 October, 2022.
IBM BLU Acceleration
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The content is sourced from: https://handwiki.org/wiki/Software:IBM_BLU_Acceleration

IBM BLU Acceleration is a collection of technologies from the IBM Research and Development Labs for analytical database workloads. BLU Acceleration integrates a number of different technologies including in-memory processing of columnar data, Actionable Compression (which uses approximate Huffman encoding to compress and pack data tightly), CPU Acceleration (which exploits SIMD technology and provides parallel vector processing), and Data Skipping (which allows data that's of no use to the current active workload to be ignored). The term ‘BLU’ does not stand for anything in particular; however it has an indirect play on IBM's traditional corporate nickname Big Blue. (Ten IBM Research and Development facilities around the world filed more than 25 patents while working on the Blink Ultra project, which has resulted in BLU Acceleration.) BLU Acceleration does not require indexes, aggregates or tuning. BLU Acceleration is integrated in Version 10.5 of IBM DB2 for Linux, Unix and Windows,(DB2 for LUW) and uses the same storage and memory constructs (i.e., storage groups, table spaces, and buffer pools), SQL language interfaces, and administration tools as traditional DB2 for LUW databases. BLU Acceleration is available on both IBM POWER and x86 processor architectures.

analytical database workload acceleration

References

  1. Lightstone, Lohman, Schiefer. (April 2013) "Super Analytics, Super Easy. Introducing IBM DB2 10.5 with BLU Acceleration" , IBM Data Magazine. Retrieved on February 1, 2014. http://ibmdatamag.com/2013/04/super-analytics-super-easy/
  2. Raman, Attaluri, Barber, Chainani, et al. (August 2013) "DB2 with BLU Acceleration: So Much More than Just a Column Store", Proceedings of the VLDB Endowment, Volume 6 Issue 11, Pages 1080-1091. Retrieved on February 1, 2014 http://db.disi.unitn.eu/pages/VLDBProgram/pdf/industry/p773-barber.pdf
  3. Zikopoulos, Vincent. (August 2013) "Ask the Experts: DB2 10.5 with BLU Acceleration". Retrieved on February 1, 2014. https://www.youtube.com/watch?v=WnHSpFpsiqQ
  4. Zikopoulos, Lightstone, Huras, Sachedina, Baklarz. "DB2 10.5 with BLU Acceleration: New Dynamic In-Memory Analytics for the Era of Big Data" , McGraw-Hill Education. ISBN:9780071823494. Retrieved on February 1, 2014. http://public.dhe.ibm.com/common/ssi/ecm/en/imm14121usen/IMM14121USEN.PDF
  5. Huffman, David A. (September 1952) "A Method for the Construction of Minimum-Redundancy Codes"'. Retrieved on February 6, 2014. http://compression.ru/download/articles/huff/huffman_1952_minimum-redundancy-codes.pdf
  6. "BLU Acceleration Changes the Game", IBM Software White Paper (July 2013). Retrieved on February 1, 2014. http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=SA&subtype=WH&htmlfid=IMW14719USEN
  7. Lightstone, Sam. "When RAM Is too slow: How Dynamic In-memory Processing changes the game for Analytics". SoftwareTradecraft.com. Retrieved on February 1, 2014 http://softwaretradecraft.com/when-ram-is-too-slow-how-dynamic-in-memory-processing-changes-the-game-for-data-analytics/
  8. Howard, Philip. (December 2013) "In-memory? That’s so yesterday!", IT Analysis.com. Retrieved on February 1, 2014 http://www.it-analysis.com/blogs/Bloor_IM_Blog/2013/12/in-memory-thats-so-yesterday.html
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