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	DESCRIPTION	GPU ADVANTAGE
MathWorks MATLAB®	Data parallel mathematics (MATLAB PCT, MDCS)	Significant speed-up to increase productivity for students, scientists and engineers
Jedox Palo	Extend Excel with OLAP for planning & analysis	20-40x speed-up: Turn decision making from days to hours
ParStream	Database and data analysis Acceleration using GPUs	10x or more speedup: Search billions of records in seconds
Tanay Data Analytics from Fuzzy Logix	In-database analytics engine	Accelerate financial simultions, data mining, and statistical methods using GPUs
GPU-Quicksort	Highly optimized Quicksort algorithm	10x speed-up: Sort over 16 million floating point numbers in less than ½ sec
AccelerEyes Jacket for MATLAB	Accelerate MATLAB seamlessly with Jacket^™	Up to 100x speed-up for certain applications
Wolfram Mathematica	Symbolic math analysis (Mathematica)	Dramatic performance gains across a range of applications, including linear algebra, image processing, financial simulation, and Fourier transforms.
GPU-LIBSVM	Different implementations of libSVM / support vector	Speedups range from 10x to 100x compared to libSVM
cuSVM	classification and regression using GPUs
MultiSVM
RPUSVM	SVM training and prediction for "R" statistical package	10x Faster