scholarly journals IMPLIMENTATION OF SINGLE PRECISION FLOATING POINT UNIT USING VHDL

2016 ◽  
Vol 3 (06) ◽  
Keyword(s):  
Floating Point ◽  
Single Precision ◽  
Floating Point Unit

scholarly journals A Vector-Like Reconfigurable Floating-Point Unit for the Logarithm

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Nikolaos Alachiotis ◽  
Alexandros Stamatakis
Keyword(s):  
Reconfigurable Computing ◽  
Lookup Table ◽  
Floating Point ◽  
Double Precision ◽  
Single Precision ◽  
Reconfigurable Devices ◽  
Floating Point Unit ◽  
New Generation ◽  
Logarithm Function

The use of reconfigurable computing for accelerating floating-point intensive codes is becoming common due to the availability of DSPs in new-generation FPGAs. We present the design of an efficient, pipelined floating-point datapath for calculating the logarithm function on reconfigurable devices. We integrate the datapath into a stand-alone LUT-based (Lookup Table) component, the LAU (Logarithm Approximation Unit). We extended the LAU, by integrating two architecturally independent, LAU-based datapaths into a larger component, the VLAU (vector-like LAU). The VLAU produces 2 results/cycle, while occupying the same amount of memory as the LAU. Under single precision, one LAU is 12 and 1.7 times faster than the GNU and Intel Math Kernel Library (MKL) implementations, respectively. The LAU is also 1.6 times faster than the FloPoCo reconfigurable logarithm architecture. Under double precision, one LAU is 20 and 2.6 times faster than the respective GNU and MKL functions and 1.4 times faster than the FloPoCo logarithm. The VLAU is approximately twice as fast as the LAU, both under single and double precision.

scholarly journals Design and Implementation of FPU for Optimised Speed

2020 ◽  
Vol 9 (3) ◽  
pp. 3922-3933
Keyword(s):  
Energy Efficient ◽  
High Speed ◽  
Software Tool ◽  
Digital Signal ◽  
Floating Point ◽  
Double Precision ◽  
Arithmetic Unit ◽  
Single Precision ◽  
Point Multiplication ◽  
Floating Point Unit

Currently, each CPU has one or additional Floating Point Units (FPUs) integrated inside it. It is usually utilized in math wide-ranging applications, such as digital signal processing. It is found in places be established in engineering, medical and military fields in adding along to in different fields requiring audio, image or video handling. A high-speed and energy-efficient floating point unit is naturally needed in the electronics diligence as an arithmetic unit in microprocessors. The most operations accounting 95% of conformist FPU are multiplication and addition. Many applications need the speedy execution of arithmetic operations. In the existing system, the FPM(Floating Point Multiplication) and FPA(Floating Point Addition) have more delay and fewer speed and fewer throughput. The demand for high speed and throughput intended to design the multiplier and adder blocks within the FPM (Floating point multiplication)and FPA(Floating Point Addition) in a format of single precision floating point and double-precision floating point operation is internally pipelined to achieve high throughput and these are supported by the IEEE 754 standard floating point representations. This is designed with the Verilog code using Xilinx ISE 14.5 software tool is employed to code and verify the ensuing waveforms of the designed code

A Fully Pipelined Single-Precision Floating-Point Unit in the Synergistic Processor Element of a CELL Processor

2006 ◽  
Vol 41 (4) ◽  
pp. 759-771 ◽  
Author(s):  
H.-J. Oh ◽  
S.M. Mueller ◽  
C. Jacobi ◽  
B.W. Michael ◽  
H. Nishikawa ◽  
...  
Keyword(s):  
Floating Point ◽  
Cell Processor ◽  
Single Precision ◽  
Processor Element ◽  
A Cell ◽  
Floating Point Unit

scholarly journals PERI

2021 ◽  
Vol 18 (3) ◽  
pp. 1-26
Author(s):  
Sugandha Tiwari ◽  
Neel Gala ◽  
Chester Rebeiro ◽  
V. Kamakoti
Keyword(s):  
Computer Architecture ◽  
Floating Point ◽  
Instruction Set ◽  
Single Precision ◽  
C Programs ◽  
Commercial Grade ◽  
The Past ◽  
Multiple Precision ◽  
Execution Unit ◽  
Floating Point Unit

Owing to the failure of Dennard’s scaling, the past decade has seen a steep growth of prominent new paradigms leveraging opportunities in computer architecture. Two technologies of interest are Posit and RISC-V. Posit was introduced in mid-2017 as a viable alternative to IEEE-754, and RISC-V provides a commercial-grade open source Instruction Set Architecture (ISA). In this article, we bring these two technologies together and propose a Configurable Posit Enabled RISC-V Core called PERI. The article provides insights on how the Single-Precision Floating Point (“F”) extension of RISC-V can be leveraged to support posit arithmetic. We also present the implementation details of a parameterized and feature-complete posit Floating Point Unit (FPU). The configurability and the parameterization features of this unit generate optimal hardware, which caters to the accuracy and energy/area tradeoffs imposed by the applications, a feature not possible with IEEE-754 implementation. The posit FPU has been integrated with the RISC-V compliant SHAKTI C-class core as an execution unit. To further leverage the potential of posit , we enhance our posit FPU to support two different exponent sizes (with posit-size being 32-bits), thereby enabling multiple-precision at runtime. To enable the compilation and execution of C programs on PERI, we have made minimal modifications to the GNU C Compiler (GCC), targeting the “F” extension of the RISC-V. We compare posit with IEEE-754 in terms of hardware area, application accuracy, and runtime. We also present an alternate methodology of integrating the posit FPU with the RISC-V core as an accelerator using the custom opcode space of RISC-V.

scholarly journals Processor Design Using 32 Bit Single Precision Floating Point Unit

2018 ◽  
Vol Volume-2 (Issue-4) ◽  
pp. 198-202
Author(s):  
Mr. Anand S. Burud ◽  
Dr. Pradip C. Bhaskar ◽  
Keyword(s):  
Floating Point ◽  
Processor Design ◽  
Single Precision ◽  
Floating Point Unit
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