Mppsocgen: A framework for automatic generation of mppsoc architecture

Automatic code generation is a standard method in software engineering since it improves the code consistency and reduces the overall development time. In this context, this paper presents a design flow for automatic VHDL code generation of mppSoC (massively parallel processing System-on-Chip) configuration. Indeed, depending on the application requirements, a framework of Netbeans Platform Software Tool named MppSoCGEN was developed in order to accelerate the design process of complex mppSoC. Starting from an architecture parameters design, VHDL code will be automatically generated using parsing method. Configuration rules are proposed to have a correct and valid VHDL syntax configuration. Finally, an automatic generation of Processor Elements and network topologies models of mppSoC architecture will be done for Stratix II device family. Our framework improves its flexibility on Netbeans 5.5 version and centrino duo Core 2GHz with 22 Kbytes and 3 seconds average runtime. Experimental results for reduction algorithm validate our MppSoCGEN design flow and demonstrate the efficiency of generated architectures.Comment: 16 pages; International Journal of Computer Science & Information Technology (IJCSIT) Vol 4, No 2, April 201

IP based configurable SIMD massively parallel SoC

International audienceSignificant advances in the field of configurable computing have enabled parallel processing within a single Field- Programmable Gate Array (FPGA) chip. This paper presents the implementation of a flexible and programmable Single Instruc- tion Multiple Data (SIMD) processing system on FPGA that can be adapted to the application. Its implementation is based on an IP (Intellectual Property) assembling approach making its design fast and easy. A generation tool is also developed to generate the SIMD configuration depending on the application requirements. The proposed parallel processing system on chip is portable, scalable and flexible since it can be customized to match the needs of a data parallel application. Based on FPGA, different SIMD configurations have been evaluated in terms of performance and area trade-offs. The proposed parametric system shows good results executing some signal processing applications such as parallel matrices multiplication, FIR filter and RGB to YIQ image color conversion

Actor-Oriented Programming for Resource Constrained Multiprocessor Networks on Chip

Multiprocessor Networks on Chip (MPNoCs) are an attractive architecture for integrated circuits as they can benefit from the improved performance of ever smaller transistors but are not severely constrained by the poor performance of global on-chip wires. As the number of processors increases it becomes ever more expensive to provide coherent shared memory but this is a foundational assumption of thread-level parallelism. Threaded models of concurrency cannot efficiently address architectures where shared memory is not coherent or does not exist. In this thesis an extended actor oriented programming model is proposed to enable the design of complex and general purpose software for highly parallel and decentralised multiprocessor architectures. This model requires the encapsulation of an execution context and state into isolated Machines which may only initiate communication with one another via explicitly named channels. An emphasis on message passing and strong isolation of computation encourages application structures that are congruent with the nature of non-shared memory multiprocessors, and the model also avoids creating dependences on specific hardware topologies. A realisation of the model called Machine Java is presented to demonstrate the applicability of the model to a general purpose programming language. Applications designed with this framework are shown to be capable of scaling to large numbers of processors and remain independent of the hardware targets. Through the use of an efficient compilation technique, Machine Java is demonstrated to be portable across several architectures and viable even in the highly constrained context of an FPGA hosted MPNoC

Scalable mpNoC for Massively Parallel Systems – Design and Implementation on FPGA

The high chip-level integration enables the implementation of large-scale parallel processing architectures with 64 and more processing nodes on a single chip or on an FPGA device. These parallel systems require a cost-effective yet high-performance interconnection scheme to provide the needed communications between processors. The massively parallel Network on Chip (mpNoC) was proposed to address the demand for parallel irregular communications for massively parallel processing System on Chip (mppSoC). Targeting FPGA based design, an efficient mpNoC low level RTL implementation is proposed taking into account design constraints. The proposed network is designed as an FPGA based IP (Intellectual Property) able to be configured in different communication modes. It can communicate between processors and also perform parallel I/O data transfer which is clearly a key issue in an SIMD system. The mpNoC RTL implementation presents good performances in terms of area, throughput and power consumption which are important metrics targeting an on chip implementation. MpNoC is a flexible architecture that is suitable for use in FPGA based parallel systems. This paper introduces the basic mppSoC architecture. It mainly focuses on the mpNoC flexible IP based design and its implementation on FPGA. The integration of mpNoC in mppSoC is also described. Implementation results on a StratixII FPGA device are given for three data parallel applications ran on mppSoC. The obtained good performances justify the effectiveness of the proposed parallel network. It is shown that the mpNoC is a lightweight parallel network making it suitable for both small as well as large FPGA based parallel systems