DADiSP / VectorXL
Vector Acceleration Module
A vector or data series is a basic data type important to many
technical data analysis applications, including signal processing,
medical, geophysical, acoustic, statistics and many more.
Vector math operations include adding, subtracting, multiplying and
dividing one series by another as well as computationally expensive
operations such as trigonometric, hyperbolic and power functions.
These are the core mathematical functions for almost any series
VML, Vector Math Library, is a set of highly optimized vector
computation functions supported by the Intel Math Kernel Library,
MKL. The VectorXL Module is based on VML to automatically take
advantage of the latest instruction sets, parallelism, and
algorithms to provide outstanding performance on Intel based
processors. Performance gains of 20% to 60% over the standard
built-in vector math functions are acheived.
Ready to Use
VectorXL is completely automatic, simply install the module and
vector math functions immediately run faster - no settings to
change, no code to rewrite. In addition to core math routines, any
custom or built-in function that relies on vector processing
experiences the same performance gain.
VectorXL is a
straightforward way to accelerate any vector math based
computations and is the perfect complement to DADiSP/FFTXL
, the FFT Acceleration Module and
, the Matrix Acceleration
Or for the most cost effective solution to speeding up nearly any
numeric calculation, see the DADiSP/ProPac
module that combines all three accelerators into a single, highly
optimized numeric computation engine to provide some of the most
efficient technical data analysis routines available today.
DADiSP/VectorXL requires DADiSP 6.5 B05
for information about updating your current
version of DADiSP.