Evaluating Mobile Graphics Processing Units (GPUs) for Real-Time Resource Constrained Applications | |
Meredith, J ; Conger, J ; Liu, Y ; Johnson, J | |
Lawrence Livermore National Laboratory | |
关键词: 99 General And Miscellaneous//Mathematics, Computing, And Information Science; Processing; 42 Engineering; Accuracy; Form Factors; | |
DOI : 10.2172/888600 RP-ID : UCRL-TR-217422 RP-ID : W-7405-ENG-48 RP-ID : 888600 |
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美国|英语 | |
来源: UNT Digital Library | |
【 摘 要 】
Modern graphics processing units (GPUs) can provide tremendous performance boosts for some applications beyond what a single CPU can accomplish, and their performance is growing at a rate faster than CPUs as well. Mobile GPUs available for laptops have the small form factor and low power requirements suitable for use in embedded processing. We evaluated several desktop and mobile GPUs and CPUs on traditional and non-traditional graphics tasks, as well as on the most time consuming pieces of a full hyperspectral imaging application. Accuracy remained high despite small differences in arithmetic operations like rounding. Performance improvements are summarized here relative to a desktop Pentium 4 CPU.
【 预 览 】
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888600.pdf | 294KB | download |