Randomized algorithms
Fast computation of database operations using graphics processors
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
GPUTeraSort: high performance graphics co-processor sorting for large database management
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Integrating compression and execution in column-oriented database systems
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Hardware acceleration in commercial databases: a case study of spatial operations
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Relational joins on graphics processors
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Column-stores vs. row-stores: how different are they really?
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
A Fast Similarity Join Algorithm Using Graphics Processing Units
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Real-time parallel hashing on the GPU
ACM SIGGRAPH Asia 2009 papers
Relational query coprocessing on graphics processors
ACM Transactions on Database Systems (TODS)
A scalable, predictable join operator for highly concurrent data warehouses
Proceedings of the VLDB Endowment
Fast sort on CPUs and GPUs: a case for bandwidth oblivious SIMD sort
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Database compression on graphics processors
Proceedings of the VLDB Endowment
High-throughput transaction executions on graphics processors
Proceedings of the VLDB Endowment
Design and evaluation of main memory hash join algorithms for multi-core CPUs
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Proceedings of the VLDB Endowment
YSmart: Yet Another SQL-to-MapReduce Translator
ICDCS '11 Proceedings of the 2011 31st International Conference on Distributed Computing Systems
Ameliorating memory contention of OLAP operators on GPU processors
DaMoN '12 Proceedings of the Eighth International Workshop on Data Management on New Hardware
DaMoN '12 Proceedings of the Eighth International Workshop on Data Management on New Hardware
Accelerating pathology image data cross-comparison on CPU-GPU hybrid systems
Proceedings of the VLDB Endowment
Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation
MICRO-45 Proceedings of the 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture
Main-memory hash joins on multi-core CPUs: Tuning to the underlying hardware
ICDE '13 Proceedings of the 2013 IEEE International Conference on Data Engineering (ICDE 2013)
Red Fox: An Execution Environment for Relational Query Processing on GPUs
Proceedings of Annual IEEE/ACM International Symposium on Code Generation and Optimization
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Database community has made significant research efforts to optimize query processing on GPUs in the past few years. However, we can hardly find that GPUs have been truly adopted in major warehousing production systems. Preparing to merge GPUs to the warehousing systems, we have identified and addressed several critical issues in a three-dimensional study of warehousing queries on GPUs by varying query characteristics, software techniques, and GPU hardware configurations. We also propose an analytical model to understand and predict the query performance on GPUs. Based on our study, we present our performance insights for warehousing query execution on GPUs. The objective of our work is to provide a comprehensive guidance for GPU architects, software system designers, and database practitioners to narrow the speed gap between the GPU kernel execution (the fast mode) and data transfer to prepare GPU execution (the slow mode) for high performance in processing data warehousing queries. The GPU query engine developed in this work is open source to the public.