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The complexity of many image processing applications and their stringent performance requirements have come to a point where they can no longer meet the real time deadlines, if implemented on conventional architectures based on a single general-purpose processor. Acceleration of these algorithms can be done by parallel computing. Parallelism can be accomplished both at hardware and software levels...
As multiprocessor and multicore technology becomes prevalent, shared-memory architectures with 1,024 or more processing cores are becoming available for general-purpose applications. As an early operator of such a system, the Remote Data Analysis and Visualization (RDAV) center at the University of Tennessee observed a host of user applications needing to scale up their computation by running many...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.