Databases are the workhorse of the enterprise today. Searching through databases and finding useful information has become a big computational challenge. Researchers from academia and Microsoft, Oracle, SAP, and many other corporations are looking to CUDA-enabled GPUs to find a scalable solution.

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Data Analytics Software using CUDA

• GPUMiner: Parallel Data Mining on NVIDIA GPUs, Fang et al, Hong Kong University of Science and Technology and Microsoft
• Paper describing GPUMiner
• Cmatch: Fast Exact String Matching on the GPU, Schatz, Trapnel, University of Maryland
• Paper describing Cmatch

Technical Reports on using CUDA for Data Analytics and Databases

• Databases
• IEEE Spectrum Article : “Why Graphics Processors will Transform Database Processing”, Blas and Kladeway, Oracle Corporation
• GPUQP: Query Co-processing using GPUs
• Parallel Search on Video Cards, Kaldeway, Hagen, Blas, Sedlar, Oracle Corp
• User-defined Aggregate Functions in Oracle
• Large Text Data Types in Microsoft SQL
• Scaling PostgreSQL using CUDA
• Hardware Acceleration in Commercial Databases: A Case Study of Spatial Operations, Bandi et al
• Analytics and Mining
• GPU-Accelerated Large Scale Analytics, Wu, Zhang, Hsu, HP Laboratories
• K-Means on Commodity GPUs with CUDA
• Exploiting Graphic Card Processor Technology to Accelerate Data Mining in SAP NetWeaver BIA, Weyerhaeuser (SAP), Mindnich (SAP), Farber (SAP), Lehner (TU Dresden)
• Towards Algorithm Transformation for Temporal Data Mining on GPU, Sean Ponce, Virginia Tech
• Efficient K- Means Clustering Using Accelerated Graphics Processors
• GPU Accelerated Text Mining
• Slides
• Histogram Calculation in CUDA
• A Compiler and Runtime System for Enabling Data Mining Applications on GPUs
• Sorting using GPUs
• Designing Efficient Sorting Algorithms for Manycore GPUs
• GPU QuickSort Library
• Fast Parallel GPU-Sorting Using a Hybrid Algorithm
• A Fast and Flexible Sorting Algorithm with CUDA
• Sorting using BItonic netwoRk wIth CUDA
• GPU Sample Sort
• GPUTeraSort: High Performance Graphics Coprocessor Sorting for Large Database Management
• Map-Reduce
• Mars: A Map-Reduce Framework on GPUs
• A Map-Reduce Framework for Programming GPUs
• DisMaRC: A Distributed Map Reduce Framework on CUDA
• MITHRA : Scaling CUDA to Clusters using MapReduce
• Another Paper on MITHRA

See Also

• Tesla/CUDA Success Stories
• Other Tesla Vertical Solutions
• CUDA Software Development Tools & Libraries