Comparison of Various Multi-core Processor using FPGA

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N.Dhasarathan

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Page No: 32-37

ABSTRACT:

Embedded multiprocessor architectures have become standards in scientific and engineering fields. FPGAs enable integration of complex logic on a single chip. This makes multi-core processor Comparison of Various Multi-core Processor efficient and practical. These processors face challenges like thread safety and real-time data handling. Our design uses on-chip transmitter and receiver modules with processing units to ensure smooth data flow. Compared to general processors, this design uses fewer instructions for data transfer, improving speed. By using real-time benchmarks and simulation tools, this research provides insights into which architectures are more suitable for specific applications like embedded systems, AI workloads, or real-time signal processing. The interface supports building smart coprocessors that handle complex I/O and pipelined processing. Comparison of Various Multi-core Processor using FPGA presents how this interface enables reusable coprocessors and compares various multi-core processors . The results help identify efficient architectures for embedded systems.

INTRODUCTION:

The multi-core processor comparison has become crucial in designing flexible embedded systems. Multimedia applications like 3D gaming, video conferencing, and MPEG-4 demand adaptable consumer devices. These devices must handle diverse applications across regions and evolve with technology. To meet these demands, designers need a flexible platform that supports multiple cores and coprocessors on a single chip. FPGAs provide reconfigurable logic to implement these architectures quickly. Our study performs a multi-core processor comparison platforms. We evaluate system-on-chip designs, application-specific processors, and coprocessors. For example, we test the discrete cosine transform (DCT), important for MPEG encoding.For example, a delegate medium-grain work
is the discrete cosine change (DCT) required for MPEG encoding and translating. This analysis measures speed, resource use, and scalability. It offers insights to optimize embedded processor design with FPGA technology. This paper presents how this interface empowers the plan of such reusable yet savvy coprocessors. The goal is to identify which architecture performs best under different workloads and constraints, thereby providing valuable insights for system architects and embedded developers.