With the rapid development of information technology in the energy industry, the use of information means to integrate and share all kinds of resources, to improve the utilization rate of resources, to achieve the pur...With the rapid development of information technology in the energy industry, the use of information means to integrate and share all kinds of resources, to improve the utilization rate of resources, to achieve the purposes of rational use of resources, cost reduction and efficiency improvement, and to improve the labor efficiency has become the primary task of oilfield information and scientific research management. This paper mainly discusses the application of "enterprise-class professional software and hardware cloud" in scientific research, and mainly discusses the contents of professional software and hardware sharing application, intelligent operation and maintenance, data sharing, remote collaboration, etc., and organically combines information management with scientific research and production management, thus effectively improving the management level of scientific research software and hardware.展开更多
Plagiarism in software code and hardware design threatens the open-source movement and the software and hardware industries.It is essential to differentiate between the unethical act of plagiarism and the legitimate u...Plagiarism in software code and hardware design threatens the open-source movement and the software and hardware industries.It is essential to differentiate between the unethical act of plagiarism and the legitimate use of open-source resources.Existing copyright protection measures,such as license design,inadequately address copyright ownership and protection issues.Furthermore,they fail to detect plagiarism methods for open-source hardware projects,such as circuit location modification.To address these challenges,this paper proposes a blockchain-based copyright management scheme,which introduces a general originality detection model based on community detection,extracting adjustable granularity digests from code and design files.These digests are stored on a peer-to-peer blockchain,enabling nodes to verify the originality via smart contracts.Additionally,the scheme improves the storage structure,protecting the rights of authors and contributors.Experimental results demonstrate the effectiveness and runtime efficiency of the proposed model in extracting digests for blockchain storage while maintaining verification accuracy.The scheme offers enhanced generality,practical performance,and suitability for distributed development and maintenance,with considerable implications for evidence gathering,fostering innovation and integrity.展开更多
Traditional joint-link robots have been widely used in production lines because of their high precision for single tasks.With the development of the manufacturing and service industries,the requirement for the compreh...Traditional joint-link robots have been widely used in production lines because of their high precision for single tasks.With the development of the manufacturing and service industries,the requirement for the comprehensive performance of robotics is growing.Numerous types of bio-inspired robotics have been investigated to realize human-like motion control and manipulation.A study route from inner mechanisms to external structures is proposed to imitate humans and animals better.With this idea,a brain-inspired intelligent robotic system is constructed that contains visual cognition,decision-making,motion control,and musculoskeletal structures.This paper reviews cutting-edge research in brain-inspired visual cognition,decision-making,motion control,and musculoskeletal systems.Two software systems and a corresponding hardware system are established,aiming at the verification and applications of next-generationbrain-inspired musculoskeletal robots.展开更多
Energy efficiency is one of the most important issues for High Performance Computing（HPC） today.Heterogeneous HPC platform with some energy-efficient customizable cores（as application-specific accelerators）is beli...Energy efficiency is one of the most important issues for High Performance Computing（HPC） today.Heterogeneous HPC platform with some energy-efficient customizable cores（as application-specific accelerators）is believed as one of the promising solutions to meet ever-increasing computing needs and to overcome power density limitations. In this paper, we focus on using customizable processor cores to optimize the typical stencil computations—— the kernel of many high-performance applications. We develop a series of effective software/hardware co-optimization strategies to exploit the instruction-level and memory-computation parallelism,as well as to decrease the energy consumption. These optimizations include loop tiling, prefetching, cache customization, Single Instruction Multiple Data（SIMD）, and Direct Memory Access（DMA）, as well as necessary ISA extensions. Detailed tests of power-efficiency are given to evaluate the effect of all these optimizations comprehensively. The results are impressive： the combination of these optimizations has improved the application performance by 341% while the energy consumption has been decreased by 35%; a preliminary comparison with X86, GPU, and FPGA platforms also showed that the design could achieve an order of magnitude higher performance efficiency. We believe this work can help understand sources of inefficiency in general-purpose chips and can be used as a beginning to customize an energy efficient CMP for further improvement.展开更多
文摘With the rapid development of information technology in the energy industry, the use of information means to integrate and share all kinds of resources, to improve the utilization rate of resources, to achieve the purposes of rational use of resources, cost reduction and efficiency improvement, and to improve the labor efficiency has become the primary task of oilfield information and scientific research management. This paper mainly discusses the application of "enterprise-class professional software and hardware cloud" in scientific research, and mainly discusses the contents of professional software and hardware sharing application, intelligent operation and maintenance, data sharing, remote collaboration, etc., and organically combines information management with scientific research and production management, thus effectively improving the management level of scientific research software and hardware.
文摘Plagiarism in software code and hardware design threatens the open-source movement and the software and hardware industries.It is essential to differentiate between the unethical act of plagiarism and the legitimate use of open-source resources.Existing copyright protection measures,such as license design,inadequately address copyright ownership and protection issues.Furthermore,they fail to detect plagiarism methods for open-source hardware projects,such as circuit location modification.To address these challenges,this paper proposes a blockchain-based copyright management scheme,which introduces a general originality detection model based on community detection,extracting adjustable granularity digests from code and design files.These digests are stored on a peer-to-peer blockchain,enabling nodes to verify the originality via smart contracts.Additionally,the scheme improves the storage structure,protecting the rights of authors and contributors.Experimental results demonstrate the effectiveness and runtime efficiency of the proposed model in extracting digests for blockchain storage while maintaining verification accuracy.The scheme offers enhanced generality,practical performance,and suitability for distributed development and maintenance,with considerable implications for evidence gathering,fostering innovation and integrity.
基金supported by National Natural Science Foundation of China(Nos.91948303,62203443 and 62203439)the Major Project of Science and Technology Innovation 2030 C Brain Science and Brain-inspired Intelligence(No.2021ZD0200408)+1 种基金the Strategic Priority Research Program of Chinese Academy of Science(No.XDB 32050100)the Science Foundation for Youth of the State Key Laboratory of Management and Control for Complex System(No.2022QN09).
文摘Traditional joint-link robots have been widely used in production lines because of their high precision for single tasks.With the development of the manufacturing and service industries,the requirement for the comprehensive performance of robotics is growing.Numerous types of bio-inspired robotics have been investigated to realize human-like motion control and manipulation.A study route from inner mechanisms to external structures is proposed to imitate humans and animals better.With this idea,a brain-inspired intelligent robotic system is constructed that contains visual cognition,decision-making,motion control,and musculoskeletal structures.This paper reviews cutting-edge research in brain-inspired visual cognition,decision-making,motion control,and musculoskeletal systems.Two software systems and a corresponding hardware system are established,aiming at the verification and applications of next-generationbrain-inspired musculoskeletal robots.
基金supported by the National HighTech Research and Development (863) Program of China (No. 2013AA01A215)the Brain Inspired Computing Research of Tsinghua University (No. 20141080934)
文摘Energy efficiency is one of the most important issues for High Performance Computing（HPC） today.Heterogeneous HPC platform with some energy-efficient customizable cores（as application-specific accelerators）is believed as one of the promising solutions to meet ever-increasing computing needs and to overcome power density limitations. In this paper, we focus on using customizable processor cores to optimize the typical stencil computations—— the kernel of many high-performance applications. We develop a series of effective software/hardware co-optimization strategies to exploit the instruction-level and memory-computation parallelism,as well as to decrease the energy consumption. These optimizations include loop tiling, prefetching, cache customization, Single Instruction Multiple Data（SIMD）, and Direct Memory Access（DMA）, as well as necessary ISA extensions. Detailed tests of power-efficiency are given to evaluate the effect of all these optimizations comprehensively. The results are impressive： the combination of these optimizations has improved the application performance by 341% while the energy consumption has been decreased by 35%; a preliminary comparison with X86, GPU, and FPGA platforms also showed that the design could achieve an order of magnitude higher performance efficiency. We believe this work can help understand sources of inefficiency in general-purpose chips and can be used as a beginning to customize an energy efficient CMP for further improvement.
