scholarly journals Design of High-Performance Real-Time Bus in Parallel Processing System

Author(s):  
Cheng Xin ◽  
Zhou Yunfei
2013 ◽  
Vol 278-280 ◽  
pp. 1043-1046
Author(s):  
Xin Cheng ◽  
Hua Chun Wu

Rapid increases in the complexity of algorithms for real-time signal processing applications have made multi-processors parallel processing technology needed. This paper proposes a design of high-performance real-time bus (RTB), based on which distributed shared memory (DSM) mechanism is established to implement data exchange among multiple processors. Adopting DSM mechanism can reduce the software overhead and improve data processing performance significantly. Definition and implementation details of RTB and data transmission model are discussed. Experimental results show the stable data transmission bandwidth is achieved with performance not affected by the increasing number of processors.


2021 ◽  
Vol 17 (11) ◽  
pp. 155014772110331
Author(s):  
Jung-hyun Seo ◽  
HyeongOk Lee

One method to create a high-performance computer is to use parallel processing to connect multiple computers. The structure of the parallel processing system is represented as an interconnection network. Traditionally, the communication links that connect the nodes in the interconnection network use electricity. With the advent of optical communication, however, optical transpose interconnection system networks have emerged, which combine the advantages of electronic communication and optical communication. Optical transpose interconnection system networks use electronic communication for relatively short distances and optical communication for long distances. Regardless of whether the interconnection network uses electronic communication or optical communication, network cost is an important factor among the various measures used for the evaluation of networks. In this article, we first propose a novel optical transpose interconnection system–Petersen-star network with a small network cost and analyze its basic topological properties. Optical transpose interconnection system–Petersen-star network is an undirected graph where the factor graph is Petersen-star network. OTIS–PSN n has the number of nodes 102n, degree n+3, and diameter 6 n − 1. Second, we compare the network cost between optical transpose interconnection system–Petersen-star network and other optical transpose interconnection system networks. Finally, we propose a routing algorithm with a time complexity of 6 n − 1 and a one-to-all broadcasting algorithm with a time complexity of 2 n − 1.


2021 ◽  
Author(s):  
Gvarami Labartkava

Human vision is a complex system which involves processing frames and retrieving information in a real-time with optimization of the memory, energy and computational resources usage. It can be widely utilized in many real-world applications from security systems to space missions. The research investigates fundamental principles of human vision and accordingly develops a FPGA-based video processing system with binocular vision, capable of high performance and real-time tracking of moving objects in 3D space. The undertaken research and implementation consist of: 1. Analysis of concepts and methods of human vision system; 2. Development stereo and peripheral vision prototype of a system-on-programmable chip (SoPC) for multi-object motion detection and tracking; 3. Verification, test run and analysis of the experimental results gained on the prototype and associated with the performance constraints; The implemented system proposes a platform for real-time applications which are limited in current approaches.


Author(s):  
Harendra Kumar ◽  
Isha Tyagi

Distributing tasks to processors in distributed real time systems is an important step for obtaining high performance. Scheduling algorithms play a vital role in achieving better performance and high throughput in heterogeneous distributed real time systems. To make the best use of the computational power available, it is essential to assign the tasks to the processor whose characteristics are most appropriate for the execution of the tasks in a distributed processing system. This study develops two algorithms for clustering the heavily-communicating tasks to reduce the inter-tasks communication costs by using k-means and fuzzy c-means clustering techniques respectively. In order to minimize the system cost and response time, an algorithm is developed for the proper allocation of formed clusters to the most suitable processor. The present algorithms are collated with problems in literature. The proposed algorithms are formulated and applied to numerous numerical examples to demonstrate their effectiveness.


2012 ◽  
Vol 433-440 ◽  
pp. 5482-5488 ◽  
Author(s):  
Su Ran Kong

Image processing system to calculate the volume, real-time high and the requirements of small size, using the DSP-based processor, FPGA approach, supplemented by the processor design of a high-performance real-time image processing system, and the system In the process of image acquisition and transmission of noise, using the PCB's anti-jamming design. Practice shows that two chips using FPGA + DSP, the algorithm is divided into two parts by the FPGA and DSP processing; effectively improve the efficiency of the algorithm. System real-time high, adaptability, real-time image acquisition system can meet the design requirements.


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