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Head office: 3nd floor, Krishna Reddy Buildings, OPP: ICICI ATM, Ramalingapuram, Nellore
www.pvrtechnology.com, E-Mail: pvrieeeprojects@gmail.com, Ph: 81432 71457
Flexible DSP Accelerator Architecture Exploiting Carry-Save
Arithmetic
Abstract
Hardware acceleration has been proved an extremely promising implementation strategy
for the digital signal processing (DSP) domain. Rather than adopting a monolithic application-
specific integrated circuit design approach, in this brief, we present a novel accelerator
architecture comprising flexible computational units that support the execution of a large set of
operation templates found in DSP kernels. We differentiate from previous works on flexible
accelerators by enabling computations to be aggressively performed with carry-save (CS)
formatted data. Advanced arithmetic design concepts, i.e., recoding techniques, are utilized
enabling CS optimizations to be performed in a larger scope than in previous approaches.
Extensive experimental evaluations show that the proposed accelerator architecture delivers
average gain in area-delay product and also in energy consumption compared with the state-of-
art flexible data paths.
Tools:
 Modelsim 6.4b
 Xilinx ISE 10.1
Languages:
 VHDL/Verilog HDL
Head office: 3nd floor, Krishna Reddy Buildings, OPP: ICICI ATM, Ramalingapuram, Nellore
www.pvrtechnology.com, E-Mail: pvrieeeprojects@gmail.com, Ph: 81432 71457

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3Flexible DSP Accelerator Architecture Exploiting Carry-Save Arithmetic

  • 1. Head office: 3nd floor, Krishna Reddy Buildings, OPP: ICICI ATM, Ramalingapuram, Nellore www.pvrtechnology.com, E-Mail: pvrieeeprojects@gmail.com, Ph: 81432 71457 Flexible DSP Accelerator Architecture Exploiting Carry-Save Arithmetic Abstract Hardware acceleration has been proved an extremely promising implementation strategy for the digital signal processing (DSP) domain. Rather than adopting a monolithic application- specific integrated circuit design approach, in this brief, we present a novel accelerator architecture comprising flexible computational units that support the execution of a large set of operation templates found in DSP kernels. We differentiate from previous works on flexible accelerators by enabling computations to be aggressively performed with carry-save (CS) formatted data. Advanced arithmetic design concepts, i.e., recoding techniques, are utilized enabling CS optimizations to be performed in a larger scope than in previous approaches. Extensive experimental evaluations show that the proposed accelerator architecture delivers average gain in area-delay product and also in energy consumption compared with the state-of- art flexible data paths. Tools:  Modelsim 6.4b  Xilinx ISE 10.1 Languages:  VHDL/Verilog HDL
  • 2. Head office: 3nd floor, Krishna Reddy Buildings, OPP: ICICI ATM, Ramalingapuram, Nellore www.pvrtechnology.com, E-Mail: pvrieeeprojects@gmail.com, Ph: 81432 71457