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.

BUY A PERSONAL SUPERCOMPUTER TODAY Look for NVIDIA Tesla Personal Supercomputers from NVIDIA Tesla Preferred Providers.

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

• IEEE Spectrum Article : “Why Graphics Processors will Transform Database Processing”, Blas and Kladeway, Oracle Corporation
• Parallel Search on Video Cards, Kaldeway, Hagen, Blas, Sedlar, Oracle Corp
• User-defined Aggregate Functions in Oracle
• GPU-Accelerated Large Scale Analytics, Wu, Zhang, Hsu, HP Laboratories
• 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
• 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

See Also

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