Synergistic Approximation of Computation and Memory Subsystems for Error-Resilient Applications
Synergistic Approximation of Computation and Memory Subsystems for Error-Resilient Applications
复制标题
容错应用程序的计算和内存子系统的协同近似
DOI：
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发表时间：
2017
影响因子：
1.6
通讯作者：
V. Raghunathan
中科院分区：
文献类型：
--
作者：
Arnab Raha;V. Raghunathan
近似计算是一种新的设计范式，它利用新兴应用所表现出的<italic>内在错误弹性</italic>来显着提高其能源效率和性能。在这一领域的先前工作已经提出了针对计算子系统或存储器子系统的近似技术。这封信第一次提出了一种方法来执行协同近似的计算和内存子系统在一起，结果在一个显着的改善，在能源消耗的情况下，当子系统是独立的近似相比。我们实现了我们提出的方法，使用Altera Stratix IV GX FPGA为基础的Terrace TR 4 -230开发板，包含一个1GB的DDR3 DRAM模块，它执行三个错误弹性基准。实验结果表明，在2.05美元的范围内<inline-formula><tex-math notation="LaTeX">，旧符号{ imes }$</tex-math></inline-formula><monospace>-<inline-formula><tex-math notation="LaTeX">$4.45旧符号{ imes }$</tex-math></inline-formula></monospace>以最小化应用程序质量损失（<monospace><1%</monospace>）。与单个近似值相比，我们的技术实现了额外的<inline-formula><tex-math notation="LaTeX">1.6美元旧符号{ imes }$</tex-math></inline-formula><monospace>-<inline-formula><tex-math notation="LaTeX">$2.35旧符号{ 相同</tex-math></inline-formula></monospace>质量规格下可节省1倍的能源。
Approximate computing is a new design paradigm that exploits the <italic>intrinsic error resilience</italic> exhibited by emerging applications to significantly improve their energy efficiency and performance. Prior work in this domain has proposed approximation techniques targeting either the computational subsystem or the memory subsystem. For the first time, this letter proposes a methodology to perform synergistic approximations across the computation and memory subsystems together that results in a significant improvement in energy consumption compared to the case when the subsystems are approximated independently. We implemented our proposed methodology using an Altera Stratix IV GX FPGA based Terasic TR4-230 development board containing a 1GB DDR3 DRAM module, which executes three error-resilient benchmarks. Experimental results demonstrate energy improvements in the range of <inline-formula> <tex-math notation="LaTeX">$2.05oldsymbol { imes }$ </tex-math></inline-formula><monospace>-<inline-formula> <tex-math notation="LaTeX">$4.45oldsymbol { imes }$ </tex-math></inline-formula></monospace> for minimal loss in application quality (<monospace><1%</monospace>). Compared to individual approximations, our technique achieves an additional <inline-formula> <tex-math notation="LaTeX">$1.6oldsymbol { imes }$ </tex-math></inline-formula><monospace>-<inline-formula> <tex-math notation="LaTeX">$2.35oldsymbol { imes }$ </tex-math></inline-formula></monospace> energy savings for the same quality specifications.
邀请：部分不可靠动态随机存取存储器的近似计算â近似DRAM
DOI：
10.1145/2897937.2905002
发表时间：
2016
期刊：
2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC)
影响因子：
--
作者：
M. Jung;D. Mathew;C. Weis;N. Wehn
通讯作者：
N. Wehn