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Cost-effective hardware acceleration of multimedia applications

机译:多媒体应用的经济高效的硬件加速

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General-purpose microprocessors augmented with SIMD execution units enhance multimedia applications by exploiting data level parallelism. However, supporting/overhead related instructions (instructions necessary to feed the SIMD execution units such as address generation, packing/unpacking, permute, loads/stores, and loop branches) dominate media instruction streams accounting for 75-85% of the dynamic instructions. This leads to an under-utilization of SIMD execution units resulting in a throughput that ranges between 1-12% of the peak throughput. We accelerate multimedia applications by providing explicit hardware support to eliminate or reduce the impact of the supporting/overhead related instructions. Performance evaluation shows that such hardware can significantly improve performance over conventional SIMD enhanced general-purpose processors (1.05x to 28x). In this paper, we investigate the cost of incorporating hardware, for efficient execution of supporting/overhead related instructions, into a high-speed SIMD enhanced general-purpose processor and perform area, power, and timing tradeoffs. Our results indicate that - the added hardware requires less than 10% SIMD execution units' chip area and 0.3% overall chip area, and power consumption is less than 1% of the total processor power. This is achieved without elongating the critical path of the processor.
机译:通用微处理器通过利用数据级并行度来增强多媒体应用程序。但是,支持/开销相关指令(馈送SIMD执行单元所需的指令,例如地址生成,打包/解包,允许/存储和循环分支)主导媒体指令流占动态指令的75-85%。这导致使用SIMD执行单元的利用率,从而导致吞吐量的吞吐量范围在峰值吞吐量的1-12%之间。通过提供显式硬件支持来消除或减少支持/开销相关指令的影响来加速多媒体应用程序。性能评估表明,这种硬件可以显着提高传统SIMD增强型通用处理器(1.05倍至28倍)的性能。在本文中,我们调查了结合硬件的成本,以便有效地执行支持/开销相关指令,进入高速SIMD增强的通用处理器和执行区域,电源和时序权衡。我们的结果表明,添加的硬件需要少于10%的SIMD执行单元的芯片面积和0.3%的总芯片面积,功耗小于总处理器电源的1%。这是实现的,而不伸长处理器的临界路径。

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