scholarly journals Design-Space Exploration of Application-specific Instruction-set Processor Design

2021 ◽  
pp. 519-527
Author(s):  
M. H. Sargolzaei
Keyword(s):  
Energy Efficiency ◽  
Design Space Exploration ◽  
Design Space ◽  
Coarse Grained ◽  
Switching Network ◽  
Program Execution ◽  
Instruction Set ◽  
Specific Instruction ◽  
Execution Model ◽  
Application Specific

Application-Specific Instruction-Set Processors (ASIPs) have established their processing power in the embedded systems. Since energy efficiency is one of the most important challenges in this area, coarse-grained reconfigurable arrays (CGRAs) have been used in many different domains. The exclusive program execution model of the CGRAs is the key to their energy efficiency but it has some major costs. The context-switching network (CSN) is responsible for handling this unique program execution model and is also one of the most energy-hungry parts of the CGRAs. In this paper, we have proposed a new method to predict important architectural parameters of the CSN of a CGRA, such as the size of the processing elements (PEs), the topology of the CSN, and the number of configuration registers in each PE. The proposed method is based on the high-level code of the input application, and it is used to prune the design space and increase the energy efficiency of the CGRA. Based on our results, not only the size of the design space of the CSN of the CGRA is reduced to 10%, but also its performance and energy efficiency are increased by about 13% and 73%, respectively. The predicted architecture by the proposed method is over 97% closer to the best architecture of the exhaustive searching for the design space.

BUILDABONG: A Framework for Architecture/Compiler Co-Exploration for ASIPs

2003 ◽  
Vol 12 (03) ◽  
pp. 353-375 ◽  
Author(s):  
Dirk Fischer ◽  
Jürgen Teich ◽  
Ralph Weper ◽  
Michael Thies
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Code Optimization ◽  
Instruction Set ◽  
Specific Instruction ◽  
Machine Model ◽  
Compiler Generation ◽  
Compiler Design ◽  
Application Specific

With the term Architecture/Compiler Co-exploration, we denote the problem of simultaneously optimizing an application-specific instruction set processor (ASIP) architecture as well as its generated compiler. In this paper, we characterize the design space of both compiler frontend (intermediate code optimization) and backend (changes of the machine model) and present the workflow of our framework BUILDABONG. The project consists of four phases: (a) architecture entry and composition, (b) automatic simulator generation, (c) compiler generation (in particular, retargeting), and (d) automatic architecture/compiler design space exploration. We demonstrate the feasibility of our approach by a detailed case study.

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.

Fine-Grained Checkpoint Recovery for Application-Specific Instruction-Set Processors

2017 ◽  
Vol 66 (4) ◽  
pp. 647-660 ◽  
Author(s):  
Tuo Li ◽  
Muhammad Shafique ◽  
Jude Angelo Ambrose ◽  
Jorg Henkel ◽  
Sri Parameswaran
Keyword(s):  
Instruction Set ◽  
Specific Instruction ◽  
Fine Grained ◽  
Checkpoint Recovery ◽  
Instruction Set Processors ◽  
Application Specific
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