The main task is to pull in streams of data, process the data and stream it back out as a single flow and thereby analyzes multiple data streams from many sources live. Stream computing uses software algorithms that analyzes the data in real time as it streams in to increase speed and accuracy when dealing with data handling and analysis. System S, the stream computing system of IBM, introduced in June 2007, 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 derived from a class of applications that run on the GPU instead of a CPU which enables the graphics processors (GPUs) to work in conjunction with high-performance, low-latency CPUs to solve complex computational problems.
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