7 research outputs found

    Generic Pipelined Processor Modeling and High Performance Cycle-Accurate Simulator Generation

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    Detailed modeling of processors and high performance cycle-accurate simulators are essential for today's hardware and software design. These problems are challenging enough by themselves and have seen many previous research efforts. Addressing both simultaneously is even more challenging, with many existing approaches focusing on one over another. In this paper, we propose the Reduced Colored Petri Net (RCPN) model that has two advantages: first, it offers a very simple and intuitive way of modeling pipelined processors; second, it can generate high performance cycle-accurate simulators. RCPN benefits from all the useful features of Colored Petri Nets without suffering from their exponential growth in complexity. RCPN processor models are very intuitive since they are a mirror image of the processor pipeline block diagram. Furthermore, in our experiments on the generated cycle-accurate simulators for XScale and StrongArm processor models, we achieved an order of magnitude (~15 times) speedup over the popular SimpleScalar ARM simulator.Comment: Submitted on behalf of EDAA (http://www.edaa.com/

    A configurable vector processor for accelerating speech coding algorithms

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    The growing demand for voice-over-packer (VoIP) services and multimedia-rich applications has made increasingly important the efficient, real-time implementation of low-bit rates speech coders on embedded VLSI platforms. Such speech coders are designed to substantially reduce the bandwidth requirements thus enabling dense multichannel gateways in small form factor. This however comes at a high computational cost which mandates the use of very high performance embedded processors. This thesis investigates the potential acceleration of two major ITU-T speech coding algorithms, namely G.729A and G.723.1, through their efficient implementation on a configurable extensible vector embedded CPU architecture. New scalar and vector ISAs were introduced which resulted in up to 80% reduction in the dynamic instruction count of both workloads. These instructions were subsequently encapsulated into a parametric, hybrid SISD (scalar processor)–SIMD (vector) processor. This work presents the research and implementation of the vector datapath of this vector coprocessor which is tightly-coupled to a Sparc-V8 compliant CPU, the optimization and simulation methodologies employed and the use of Electronic System Level (ESL) techniques to rapidly design SIMD datapaths

    A retargetable micro-architecture simulator

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    A retargetable micro-architecture simulator

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    The capability of performing architectural exploration has become essential for embedded microprocessor design in System-On-Chip. While many retargetable instruction set (ISA) simulators have been reported, the more relevant micro-architecture simulators, which are capable of modeling the detailed machine features such as cache organization, branch prediction and out-of-order scheduler, have not be equipped with retargetability. In this paper, we propose a new methodology that can generate completed micro-architecture simulators from the abstract ISA and the application binary inter-face (ABI) specification. We demonstrate our methodology by the development of a tool that can automatically port the SimpleScalar toolset, the de facto standard for micro-architecture simulation, to any processor

    A retargetable micro-architecture simulator

    No full text
    ABSTRACT The capability of performing architectural exploration has become essential for embedded microprocessor design in System-On-Chip. While many retargetable instruction set (ISA) simulators have been reported, the more relevant micro-architecture simulators, which are capable of modeling the detailed machine features such as cache organization, branch prediction and out-of-order scheduler, have not be equipped with retargetability. In this paper, we propose a new methodology that can generate completed micro-architecture simulators from the abstract ISA and the application binary interface (ABI) specification. We demonstrate our methodology by the development of a tool that can automatically port the SimpleScalar toolset, the de facto standard for micro-architecture simulation , to any processor

    A retargetable micro-architecture simulator

    No full text
    ABSTRACT The capability of performing architectural exploration has become essential for embedded microprocessor design in System-On-Chip. While many retargetable instruction set (ISA) simulators have been reported, the more relevant micro-architecture simulators, which are capable of modeling the detailed machine features such as cache organization, branch prediction and out-of-order scheduler, have not be equipped with retargetability. In this paper, we propose a new methodology that can generate completed micro-architecture simulators from the abstract ISA and the application binary interface (ABI) specification. We demonstrate our methodology by the development of a tool that can automatically port the SimpleScalar toolset, the de facto standard for micro-architecture simulation , to any processor

    A retargetable micro-architecture simulator

    No full text
    ABSTRACT The capability of performing architectural exploration has become essential for embedded microprocessor design in System-On-Chip. While many retargetable instruction set (ISA) simulators have been reported, the more relevant micro-architecture simulators, which are capable of modeling the detailed machine features such as cache organization, branch prediction and out-of-order scheduler, have not be equipped with retargetability. In this paper, we propose a new methodology that can generate completed micro-architecture simulators from the abstract ISA and the application binary interface (ABI) specification. We demonstrate our methodology by the development of a tool that can automatically port the SimpleScalar toolset, the de facto standard for micro-architecture simulation , to any processor
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