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Product Info
Additional Info
- Software Development Tools
Programming CUDA-enabled GPUs
- NVIDIA CUDA
Relevant Links
Data Mining, Analytics and Databases
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.
Key Data Analytics ISVs and Applications Using CUDA
| ISV/Application | Supported Features | Expected Speed up* | Release Status |
| AccelerEyes Jacket for MATLAB | MATLAB Operations | 2-20x | Released |
| MathWorks MATLAB | MATLAB Operations | 2-20x | Released |
| Wolfram Mathematica | CUDA Link Package | 3x-5x | Released |
| Jedox Palo | Extend Excel with OLAP for planning & analysis | 20-40x | Released |
| ParStream | Database and data analysis Acceleration using GPUs | 10x | Released |
| GPU-Quicksort | Highly optimized Quicksort algorithm | 10x | Released |
| GPU-LIBSVM | Different implementations of libSVM / support vector | 10x-100x | Released |
* Expected Speed Up vs a quad-core x64 CPU based system. Speed-ups as per NVIDIA in house testing or application provider documentation.
Other Data Analytics Software using CUDA
- GPUMiner: Parallel Data Mining on NVIDIA GPUs, Fang et al, Hong Kong University of Science and Technology and Microsoft
- Cmatch: Fast Exact String Matching on the GPU, Schatz, Trapnel, University of Maryland
- R+GPU Package for R, a Popular Open Source Solution for Statistical Analysis
- 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
- 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
- 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/ Hadoop
MATLAB is a registered trademark of The MathWorks, Inc.
Jacket is a trademark of AccelerEyes