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To accelerate the frequency calculation, TMS320C5515 was equipped with a hardware accelerator for FFT computation which estimates the frequency of the given signals simultaneously.
However, one important aspect of hardware accelerator design that is often overlooked relates to application flexibility.
While one-off hardware accelerator designs offer new leaps in efficiency, they sacrifice flexibility and programmability.
Later as a consultant to Bell Laboratories, he helped design the MARS hardware accelerator.
This chapter presents a reconfigurable hardware accelerator that implements the finite difference time domain (FDTD) method.
Bojnordi, M. N. & Ipek, E. Memristive Boltzmann machine: a hardware accelerator for combinatorial optimization and deep learning.
We also quantify the performance and area efficiency of the hardware accelerator.
Using this model we designed a hardware accelerator for an image reconstruction algorithm for biomedical application.
Also, the validity of the synthesized architecture as a hardware accelerator is demonstrated.
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Software, our appliance (with hardware accelerators), and the accelerated RackSpace Cloud.
Reconfigurable hardware offers new ways of accelerating computing by implementing hardware accelerators at run time.
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