Improved query performance with variant indexes
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Encoded Bitmap Indexing for Data Warehouses
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Compressing Bitmap Indexes for Faster Search Operations
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Query processing and optimization in Oracle Rdb
The VLDB Journal — The International Journal on Very Large Data Bases
Fast computation of database operations using graphics processors
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
RL-huffman encoding for test compression and power reduction in scan applications
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Optimizing bitmap indices with efficient compression
ACM Transactions on Database Systems (TODS)
GPUTeraSort: high performance graphics co-processor sorting for large database management
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Scan primitives for GPU computing
Proceedings of the 22nd ACM SIGGRAPH/EUROGRAPHICS symposium on Graphics hardware
On the performance of bitmap indices for high cardinality attributes
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Using graphics processors for high-performance IR query processing
Proceedings of the 17th international conference on World Wide Web
Efficient K-Means Clustering Using Accelerated Graphics Processors
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
RLH: Bitmap compression technique based on run-length and Huffman encoding
Information Systems
Density-based clustering using graphics processors
Proceedings of the 18th ACM conference on Information and knowledge management
GPU-ABiSort: optimal parallel sorting on stream architectures
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Toward real time fractal image compression using graphics hardware
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Scalable clustering using graphics processors
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Real-time computation of advanced rules in OLAP databases
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
Efficient co-processor utilization in database query processing
Information Systems
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Bitmap indexes are one of the basic data structures applied to query optimization in data warehouses. The size of a bitmap index strongly depends on the domain of an indexed attribute, and for wide domains it is too large to be efficiently processed. For this reason, various techniques of compressing bitmap indexes have been proposed. Typically, compressed indexes have to be decompressed before being used by a query optimizer that incurs a CPU overhead and deteriorates the performance of a system. For this reason, we propose to use additional processing power of the GPUs of modern graphics cards for compressing and decompressing bitmap indexes. In this paper we present a modification of the well known WAH compression technique so that it can be executed and parallelized on modern GPUs.