Análitica de SeriadaAchieving high performance with FPGA-based computing / Martin C. Herbordt... [et. al.] | |
| Otros Autores: | Conti, Al ; DiSabello, Doug ; Gu, Yongfeng ; Herbordt, Martin C. ; Model, Josh ; Sukhwani, Bharat ; VanCourt, Tom. |
| Tema(s): | |
| Resumen: | Numerous application areas, including bioinformatics and computational biology, demand increasing amounts of processing capability. In many cases, the computation cores and data types are suited to field-programmable gate arrays. The challenge is identifying the design techniques that can extract high performance potential from the FPGA fabric. Accelerating high-performance computing (HPC) applications with field-programmable gate arrays (FPGAs) can potentially deliver enormous performance |
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Numerous application areas, including bioinformatics and computational biology, demand increasing amounts of processing capability. In many cases, the computation cores and data types are suited to field-programmable gate arrays. The challenge is identifying the design techniques that can extract high performance potential from the FPGA fabric. Accelerating high-performance computing (HPC) applications with field-programmable gate arrays (FPGAs) can potentially deliver enormous performance
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