scholarly journals Selection of instruction set extensions for an FPGA embedded processor core

2006 ◽  
Author(s):  
B.F. Veale ◽  
J.K. Antonio ◽  
M.P. Tull ◽  
S.A. Jones
Keyword(s):  
Instruction Set ◽  
Embedded Processor ◽  
Processor Core ◽  
Instruction Set Extensions ◽  
Selection Of

Enhancing a 32-Bit Processor Core with Efficient Cryptographic Instructions

2015 ◽  
Vol 24 (10) ◽  
pp. 1550158 ◽  
Author(s):  
Noura Benhadjyoussef ◽  
Wajih Elhadjyoussef ◽  
Mohsen Machhout ◽  
Rached Tourki ◽  
Kholdoun Torki
Keyword(s):  
Power Consumption ◽  
Random Number ◽  
Random Number Generator ◽  
Instruction Set ◽  
Embedded Processor ◽  
Processor Core ◽  
Cryptographic Algorithms ◽  
Instruction Set Extensions ◽  
Types Of Instruction ◽  
Constrained Devices

Embedded processor is often expected to achieve a higher security with good performance and economical use of resource. However, the choice regarding the best solution for how cryptographic algorithms are incorporated in processor core is one of the most challenging assignments a designer has to face. This paper presents an inexpensive instruction set extensions (ISE) of efficient cryptographic algorithms on 32-bit processors assuring various types of instruction (public/private key cryptography, random number generator (RNG) and secure hash function (SHF)). These extensions provide hardware instructions that implement a full algorithm in a single instruction. Our enhanced LEON2 SPARC V8 core with cryptographic ISE is implemented using Xilinx XC5VFX70t FPGA device and an ASIC CMOS 40-nm technology. The total area of the resulting chip is about 1.93 mm2 and the estimated power consumption of the chip is 16.3 mW at 10 MHz. Hardware cost and power consumption evaluation are provided for different clock frequencies and the achieved results show that our circuit is able to be arranged in many security constrained devices.

Efficient Computing in Image Processing and DSPs with ASIP Based Multiplier

2019 ◽  
Vol 13 (2) ◽  
pp. 174-180
Author(s):  
Poonam Sharma ◽  
Ashwani Kumar Dubey ◽  
Ayush Goyal
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Computation Time ◽  
Digital Signal ◽  
Instruction Set ◽  
Computationally Efficient ◽  
Specific Instruction ◽  
Processor Core ◽  
Speed Performance ◽  
Application Specific

Background: With the growing demand of image processing and the use of Digital Signal Processors (DSP), the efficiency of the Multipliers and Accumulators has become a bottleneck to get through. We revised a few patents on an Application Specific Instruction Set Processor (ASIP), where the design considerations are proposed for application-specific computing in an efficient way to enhance the throughput. Objective: The study aims to develop and analyze a computationally efficient method to optimize the speed performance of MAC. Methods: The work presented here proposes the design of an Application Specific Instruction Set Processor, exploiting a Multiplier Accumulator integrated as the dedicated hardware. This MAC is optimized for high-speed performance and is the application-specific part of the processor; here it can be the DSP block of an image processor while a 16-bit Reduced Instruction Set Computer (RISC) processor core gives the flexibility to the design for any computing. The design was emulated on a Xilinx Field Programmable Gate Array (FPGA) and tested for various real-time computing. Results: The synthesis of the hardware logic on FPGA tools gave the operating frequencies of the legacy methods and the proposed method, the simulation of the logic verified the functionality. Conclusion: With the proposed method, a significant improvement of 16% increase in throughput has been observed for 256 steps iterations of multiplier and accumulators on an 8-bit sample data. Such an improvement can help in reducing the computation time in many digital signal processing applications where multiplication and addition are done iteratively.

scholarly journals The Design of a 2D Graphics Accelerator for Embedded Systems

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 469
Author(s):  
Hyun Woo Oh ◽  
Ji Kwang Kim ◽  
Gwan Beom Hwang ◽  
Seung Eun Lee
Keyword(s):  
Embedded Systems ◽  
Embedded System ◽  
Real Time ◽  
Line Drawing ◽  
Cmos Process ◽  
Embedded Processor ◽  
Processor Core ◽  
Field Programmable ◽  
The Embedded System ◽  
Graphics Processing

Recently, advances in technology have enabled embedded systems to be adopted for a variety of applications. Some of these applications require real-time 2D graphics processing running on limited design specifications such as low power consumption and a small area. In order to satisfy such conditions, including a specific 2D graphics accelerator in the embedded system is an effective method. This method reduces the workload of the processor in the embedded system by exploiting the accelerator. The accelerator assists the system to perform 2D graphics processing in real-time. Therefore, a variety of applications that require 2D graphics processing can be implemented with an embedded processor. In this paper, we present a 2D graphics accelerator for tiny embedded systems. The accelerator includes an optimized line-drawing operation based on Bresenham’s algorithm. The optimized operation enables the accelerator to deal with various kinds of 2D graphics processing and to perform the line-drawing instead of the system processor. Moreover, the accelerator also distributes the workload of the processor core by removing the need for the core to access the frame buffer memory. We measure the performance of the accelerator by implementing the processor, including the accelerator, on a field-programmable gate array (FPGA), and ascertaining the possibility of realization by synthesizing using the 180 nm CMOS process.

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