Hardware DWT accelerator for MultiProcessor System-on-Chip on FPGA

Simone Borgio, Davide Bosisio, Fabrizio Ferrandi, M. Monchiero, M. Santambrogio, D. Sciuto, Antonino Tumeo
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引用次数: 19

Abstract

High performance multimedia applications are typical targets of today embedded systems. These applications, complex both in terms of execution flow and amount of elaborated data, can be well addressed by multiprocessor systems on-chip (MPSoCs). MPSoCs are composed of simple processors and memories tightly interconnected with fast communication channels and customized IP cores for the most demanding functions can be implemented and attached to these systems to enhance performance even more. Reconfigurable devices like FPGA, can act as a target, even programmed at runtime, for the custom IP cores, or as a prototyping platform for the whole system. Image compression like JPEG2000, can benefit very much from this approach and this type of architectures. This paper shows how the most demanding task of the JPEG2000 compression algorithm, the two-dimensional discrete wavelet transform, can be hardware accelerated and implemented in a multiprocessor system-on-chip prototyping platform on field programmable gate array (FPGA), CerberO. Architectures with different number of processors and hardware accelerators, shared among the processors or dedicated, have been implemented. To validate the approach, we show some experimental results on the platform with the hardware and the software implementation of the transformation
FPGA上多处理器片上系统的硬件DWT加速器
高性能多媒体应用是当今嵌入式系统的典型目标。这些应用程序在执行流和详细数据量方面都很复杂,可以通过多处理器片上系统(mpsoc)很好地解决。mpsoc由简单的处理器和存储器组成,与快速通信通道和定制的IP核紧密相连,可以实现最苛刻的功能并附加到这些系统上,以进一步提高性能。像FPGA这样的可重构设备可以作为目标,甚至可以在运行时编程,用于定制IP核,或者作为整个系统的原型平台。像JPEG2000这样的图像压缩可以从这种方法和这种类型的架构中获益良多。本文展示了JPEG2000压缩算法中最苛刻的任务——二维离散小波变换,如何在CerberO现场可编程门阵列(FPGA)的多处理器片上系统原型平台上进行硬件加速和实现。已经实现了具有不同数量的处理器和硬件加速器(在处理器之间共享或专用)的体系结构。为了验证该方法,我们在硬件和软件实现的平台上展示了一些实验结果
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