SD-VBS: The San Diego Vision Benchmark Suite

—In the era of multi-core, computer vision has emerged as an exciting application area which promises to continue to drive the demand for both more powerful and more energy efficient processors. Although there is still a long way to go, vision has matured significantly over the last few decades, and the list of applications that are useful to end users continues to grow. The parallelism inherent in vision applications makes them a promising workload for multi-core and many-core processors. While the vision community has focused many years on improving the accuracy of vision algorithms, a major barrier to the study of their computational properties has been the lack of a benchmark suite that simultaneously spans a wide portion of the vision space and is accessible in a portable form that the architecture community can easily use. We present the San Diego Vision Benchmark Suite (SD-VBS), a suite of diverse vision applications drawn from the vision domain. The applications are drawn f...

• Type: Conference
• Year: 2009
• Where: IISWC
• Authors: Sravanthi Kota Venkata, Ikkjin Ahn, Donghwan Jeon, Anshuman Gupta, Christopher Louie, Saturnino Garcia, Serge Belongie, Michael Bedford Taylor
• Keywords: Benchmark Suite, IISWC 2009, Operating Systems, Vision Applications, Vision Researchers