A high-performance computer system that analyzes multiple
data streams from
many sources live. The word stream in stream computing is used to mean pulling
in streams of data, processing the data and streaming it back out as a single
flow. Stream computing uses softwarealgorithms that analyzes the data in real
time as it streams in to increase speed and accuracy when dealing with data
handling and analysis.
In June 2007, IBM announced its stream computing system, called System S.
This system runs on 800 microprocessors and the System S software enables
software applications to split up tasks and then reassemble the data into an
answer. ATI Technologies also announced a stream computing technology
that describes its technology that enables the graphics processors (GPUs) to
work in conjunction with high-performance, low-latency CPUs to solve complex
computational problems. ATI's stream computing technology is derived from a
class of applications that run on the GPU instead of a CPU.
ATI pioneers new Stream Computing technology Uses processing technology to go beyond graphics, working with leading academic institutions and software developers to build a stream computing ecosystem.
IBM: Computer Science Innovation: Stream Data Mining Stream mining algorithms are being developed to discover useful knowledge from data as it streams in -- a process that isn't as straightforward as it might seem.
IBM: Exploratory Stream Processing Systems System S is a distributed stream mining system that is designed to host applications that mine massive volumes and rates of streaming data, for information.
