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March 21 - Day FOUR: When to Use FPGAs to Accelerate Embedded Vision Applications

FPGAs can accelerate some image processing algorithms, while reducing latency and jitter compared to using CPUs. We'll compare CPUs and FPGAs as embedded vision processing engines, exploring which types of vision algorithms and applications can benefit from implementation on an FPGA, and which are better suited for a CPU or other type of processor. We'll share benchmark results comparing FPGA and CPU implementations of vision applications, and introduce high-level programming of FPGAs.
Webinar Information
Start Date: Mar 21, 2013 - 06:00 PM UTC

FPGAs can accelerate some image processing algorithms, while reducing latency and jitter compared to using CPUs. We'll compare CPUs and FPGAs as embedded vision processing engines, exploring which types of vision algorithms and applications can benefit from implementation on an FPGA, and which are better suited for a CPU or other type of processor. We'll share benchmark results comparing FPGA and CPU implementations of vision applications, and introduce high-level programming of FPGAs.