Application Analysis Tools for ASIP Design

Karuri, Kingshuk; Leupers, Rainer

doi:10.1007/978-1-4419-8255-1

Cited by 15 publications

(1 citation statement)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This element must be, in some cases, developed specifically for a given system, which has requirements in terms of circuit area, power consumption, and performance, and is dependent on the application and on the implemented functionalities [2]. With the growing demand caused by IoT, new functionalities are required, which increases design complexity [3,4]. Furthermore, there is strong pressure for fast implementation of technological solutions in the globalized market.…”

Section: Introductionmentioning

confidence: 99%

ASIPAMPIUM: An Efficient ASIP Generator for Low Power Applications

et al. 2023

View full text Add to dashboard Cite

The adoption of customized ASIPs (Application Specific Instruction Set Processors) in embedded circuits is an important alternative for optimizing power consumption, silicon area, or processing performance according to the design requirements. The processor is implemented specifically for the target application, which allows the hardware customization in terms of instruction set architecture, data word length, memory size, and parallelism. This work describes an EDA tool for the semi-automatic development of ASIPs named ASIPAMPIUM. The strategy is to provide a set of integrated tools to interpret and generate a customized hardware for a given target application, including compilation, simulation, and hardware synthesis. From the C code description of the application, the tool returns a synthesizable hardware description of the processor. The proposed methodology is based on the adaptation of a new customizable microprocessor called PAMPIUM, which can be optimized in terms of silicon area, power consumption, or processing performance according to the target application. The ASIPAMPIUM tool provides a series of simulated data to the designer in order to identify optimization strategies in both software and hardware domains. We show the results for the implementation of an FFT algorithm using the proposed methodology, which achieved best results in terms of silicon area and energy consumption compared to other works described in the literature for both FPGA and silicon implementation. Moreover, measurement results of the implementation in silicon of a dedicated ASIP for interfacing with six sensors in real-time, including three I2C, an SPI, and an RS-232 interfaces, demonstrate the complete design flow, from the C code program to physical implementation and characterization. Aside from providing a short design time, the ASIPAMPIUM tool also affords a simple and intuitive design flow, allowing the designer to deal with different design trade-offs and objectives.

show abstract

Section: Introductionmentioning

confidence: 99%