Design Automation for Processor Pipelines. Embedded system processors comprise about eighty percent of the processor market. This project targets this particular segment, customising multi-processor system on chips for a particular class of embedded applications, resulting in superior performance, low power and reduced cost. Direct benefits will include clear understanding of architectures and algorithms, research training, better processors for the embedded market, and quality publications. Ind ....Design Automation for Processor Pipelines. Embedded system processors comprise about eighty percent of the processor market. This project targets this particular segment, customising multi-processor system on chips for a particular class of embedded applications, resulting in superior performance, low power and reduced cost. Direct benefits will include clear understanding of architectures and algorithms, research training, better processors for the embedded market, and quality publications. Indirect benefits will be commercialisation and licensing of this technology for use in the embedded systems design industry. Companies which can benefit from this technology exist in Australia and overseas.Read moreRead less
Automatic Co-Processor Synthesis for Application Specific Instruction Set Processors. Embedded system processors comprise of about eighty percent of the processor market. This project targets this particular segment, customising processors for a particular embedded application, resulting in superior performance, low power and reduced cost. Direct benefits will include clear understanding of architectures and algorithms, research training, better processors for the embedded market, and quality ....Automatic Co-Processor Synthesis for Application Specific Instruction Set Processors. Embedded system processors comprise of about eighty percent of the processor market. This project targets this particular segment, customising processors for a particular embedded application, resulting in superior performance, low power and reduced cost. Direct benefits will include clear understanding of architectures and algorithms, research training, better processors for the embedded market, and quality publications. Indirect benefits will be commercialisation and licensing of this technology for use in the processor design industry. Read moreRead less
Reliable Truly Deep Sub-micron VLSI Computational Systems. The phenomenal growth of the digital integrated circuits is founded on the fundamental assumption of reliable operation of logic gates on silicon chip. In the Deep Sub-Micron domain this fundamental assumption can no longer be guaranteed. This project, in association with with Dongshin University, Korea with strong links to the semiconductor industry, will develop design techniques for the reliable computational hardware, in the presence ....Reliable Truly Deep Sub-micron VLSI Computational Systems. The phenomenal growth of the digital integrated circuits is founded on the fundamental assumption of reliable operation of logic gates on silicon chip. In the Deep Sub-Micron domain this fundamental assumption can no longer be guaranteed. This project, in association with with Dongshin University, Korea with strong links to the semiconductor industry, will develop design techniques for the reliable computational hardware, in the presence of unreliable circuit fabric. This significant research, with potential for generation of IP, will raise the profile of Australian research in integrated circuits design in the global community and will result in significant publicity for the research team and, through them, for Australian industry.Read moreRead less
Design automation for secure, reliable and energy efficient embedded processors. This project seeks to create a methodology to design and generate processors which are both secure, reliable and energy efficient for deployment in Internet of Things (IoT) systems, which require little on-going maintenance. In such systems, both security and reliability are paramount, particularly in medical devices, control devices in critical machinery, financial transactions and automotive electronics. The proje ....Design automation for secure, reliable and energy efficient embedded processors. This project seeks to create a methodology to design and generate processors which are both secure, reliable and energy efficient for deployment in Internet of Things (IoT) systems, which require little on-going maintenance. In such systems, both security and reliability are paramount, particularly in medical devices, control devices in critical machinery, financial transactions and automotive electronics. The project will use an open RISC-V processor which is sufficiently flexible to function as a base processor, with a myriad of tools such as compilers and debuggers available. Reliable computing machinery will enable systems to work in hostile environments and be functionally correct for longer.Read moreRead less
High-performance real-time OS framework for low-power applications. Wireless network adapters, as they are being developed by Cisco, will find widespread use in the near future, as they are the basis of all mobile or otherwise disconnected intelligent devices. These devices must process data very rapidly, yet operate with minimal power consumption. We will develop operating system kernels that will support the secure, efficient and protected execution of the core processing firmware, and provide ....High-performance real-time OS framework for low-power applications. Wireless network adapters, as they are being developed by Cisco, will find widespread use in the near future, as they are the basis of all mobile or otherwise disconnected intelligent devices. These devices must process data very rapidly, yet operate with minimal power consumption. We will develop operating system kernels that will support the secure, efficient and protected execution of the core processing firmware, and provide application frameworks for the controlling higher software layers. We will also investigate and design hardware mechanisms that support the software while keeping power consumption minimal.Read moreRead less
Hardware-based accelerators for real-time machine learning. This project will tackle the challenge of applying real-time machine learning to massive high-frequency data. This project will leverage advancements in machine learning and hardware synthesis to implement computationally complex machine-learning algorithms on hardware-accelerated platforms, avoiding overhead delays incurred by software running on a processor.
Algorithms for Memory Management and Memory Design in Embedded Systems. Given the importance of embedded systems technology, Australia must secure a place among significant innovators in the field of embedded systems design. Our research aims at novel algorithmic solutions for customization and resource management for embedded processors. Thus, besides generating intellectual property, our research can be fully commercialized in Australia, because it does not require complex and expensive techn ....Algorithms for Memory Management and Memory Design in Embedded Systems. Given the importance of embedded systems technology, Australia must secure a place among significant innovators in the field of embedded systems design. Our research aims at novel algorithmic solutions for customization and resource management for embedded processors. Thus, besides generating intellectual property, our research can be fully commercialized in Australia, because it does not require complex and expensive technologies and other resources available only to the world's largest corporations. In addition, during our research a number of undergraduate and graduate students will get a chance to get training in the cutting edge embedded systems design, optimization and testing.Read moreRead less
Low power memory for modern embedded systems. This project will create methods and circuits to reduce power consumption of embedded systems through memory optimisations. Power efficient embedded systems, will enable smaller, more portable systems and reduce battery usage by 2.5 per cent (worth over US$1.8 billion dollars) and lower toxic waste levels (e.g., heavy metals such as mercury, cadmium etc.).