Most modern processors rely on pipeline techniques to achieve high throughput. This work reports the development of scalable, floating-point (FP) arithmetic operators with variable number of pipeline stages. A new algorithm for pipeline insertion was developed and used for FP Multiplication and FP Addition. The use of this algorithm enables operating frequencies up to 175MHz when implemented on a Xilinx Virtex II FPGA. Future work includes the automation of the process and the inclusion of the algorithm into FP square root and division units. Pipeline techniques allow operating a circuit at high clock rates by dividing a large task into smaller non
This paper describes an open-source and highly scalable floating-point unit (FPU) for embedded syste...
This paper describes an open-source and highly scalable floating-point unit (FPU) for embedded syste...
354-357Many Digital Signal Processing (DSP) algorithms use floating-point arithmetic, which requires...
This paper describes the parameterisation, implementation and evaluation of floating-point adders a...
This paper describes the parameterisation, implementation and eval-uation of floating-point adders a...
Currently, each CPU has one or additional Floating Point Units (FPUs) integrated inside it. It is us...
Space applications rely increasingly on high data rate DSP algorithms. These algorithms use double p...
Abstract—Multiply-add operations form a crucial part of many digital signal processing and control e...
Abstract – Although the use of floating point hardware in FPGAs has long been considered unfeasible ...
FPGAs are increasingly being used in the high performance and scientific computing community to impl...
Many scenarios demand a high processing power often combined with a limited energy budget. A way to ...
900-904The IEEE-754 standard floating point multiplier that provides highly precise computations to ...
Abstract—With the density of FPGAs steadily increasing, FPGAs have reached the point where they are ...
It has been shown that FPGAs could outperform high-end microprocessors on floating-point compu-tatio...
This paper describes an open-source and highly scalable floating-point unit (FPU) for embedded syste...
This paper describes an open-source and highly scalable floating-point unit (FPU) for embedded syste...
This paper describes an open-source and highly scalable floating-point unit (FPU) for embedded syste...
354-357Many Digital Signal Processing (DSP) algorithms use floating-point arithmetic, which requires...
This paper describes the parameterisation, implementation and evaluation of floating-point adders a...
This paper describes the parameterisation, implementation and eval-uation of floating-point adders a...
Currently, each CPU has one or additional Floating Point Units (FPUs) integrated inside it. It is us...
Space applications rely increasingly on high data rate DSP algorithms. These algorithms use double p...
Abstract—Multiply-add operations form a crucial part of many digital signal processing and control e...
Abstract – Although the use of floating point hardware in FPGAs has long been considered unfeasible ...
FPGAs are increasingly being used in the high performance and scientific computing community to impl...
Many scenarios demand a high processing power often combined with a limited energy budget. A way to ...
900-904The IEEE-754 standard floating point multiplier that provides highly precise computations to ...
Abstract—With the density of FPGAs steadily increasing, FPGAs have reached the point where they are ...
It has been shown that FPGAs could outperform high-end microprocessors on floating-point compu-tatio...
This paper describes an open-source and highly scalable floating-point unit (FPU) for embedded syste...
This paper describes an open-source and highly scalable floating-point unit (FPU) for embedded syste...
This paper describes an open-source and highly scalable floating-point unit (FPU) for embedded syste...
354-357Many Digital Signal Processing (DSP) algorithms use floating-point arithmetic, which requires...