Multimedia and communication algorithms from the embedded system domain often make extensive use of floating-point arithmetic. Due to the complexity and expense of the floating-point hardware, these algorithms are usually converted to fixed point operations, or implemented using floating-point emulation in software. This study presents the design and implementation of custom floating-point units, leveraging the partial reconfiguration feature of state-of-the-art FPGAs. The custom floating-point units can be dynamically configured, loaded, and executed when needed by software applications. The system is binary compliant with the conventional MIPS architecture and the IEEE-754 standard, and supports most of the floating-point operations and r...
FPGA-based reconfigurable computers can offer 10-1000 times speedup in many application domains over...
Abstract—This paper proposes Hybrid Floating-Point Modules (HFPMs) as a method to improve software f...
The scientific community has gratefully embraced floating-point arithmetic to escape the close atten...
While Application Specific Instruction Set Processors (ASIPs) have allowed designers to create proc...
Abstract – Although the use of floating point hardware in FPGAs has long been considered unfeasible ...
Abstract—With the density of FPGAs steadily increasing, FPGAs have reached the point where they are ...
Floating point arithmetic is a common requirement in signal processing, image processing and real ti...
The use of floating-point hardware in FPGAs has long been considered infeasible or related to use in...
We present a methodology for generating floating-point arithmetic hardware designs which are, for su...
International audienceThe high performance and capacity of current FPGAs makes them suitable as acce...
This paper presents the design and the implementation of a fully combinatorial floating point unit (...
Abstract-This paper presents a novel architecture for domain-specific FPGA devices. This architectur...
Hybrid floating-point (FP) implementations improve software FP performance without incurring the are...
This paper describes an open-source and highly scalable floating-point unit (FPU) for embedded syste...
Due to growth in demand for high-performance applications that require high numerical stability and ...
FPGA-based reconfigurable computers can offer 10-1000 times speedup in many application domains over...
Abstract—This paper proposes Hybrid Floating-Point Modules (HFPMs) as a method to improve software f...
The scientific community has gratefully embraced floating-point arithmetic to escape the close atten...
While Application Specific Instruction Set Processors (ASIPs) have allowed designers to create proc...
Abstract – Although the use of floating point hardware in FPGAs has long been considered unfeasible ...
Abstract—With the density of FPGAs steadily increasing, FPGAs have reached the point where they are ...
Floating point arithmetic is a common requirement in signal processing, image processing and real ti...
The use of floating-point hardware in FPGAs has long been considered infeasible or related to use in...
We present a methodology for generating floating-point arithmetic hardware designs which are, for su...
International audienceThe high performance and capacity of current FPGAs makes them suitable as acce...
This paper presents the design and the implementation of a fully combinatorial floating point unit (...
Abstract-This paper presents a novel architecture for domain-specific FPGA devices. This architectur...
Hybrid floating-point (FP) implementations improve software FP performance without incurring the are...
This paper describes an open-source and highly scalable floating-point unit (FPU) for embedded syste...
Due to growth in demand for high-performance applications that require high numerical stability and ...
FPGA-based reconfigurable computers can offer 10-1000 times speedup in many application domains over...
Abstract—This paper proposes Hybrid Floating-Point Modules (HFPMs) as a method to improve software f...
The scientific community has gratefully embraced floating-point arithmetic to escape the close atten...