论文标题
脂肪 - PIM：记忆中处理的低成本误差检测
FAT-PIM: Low-Cost Error Detection for Processing-In-Memory
论文作者
论文摘要
内存（PIM）加速器中的处理是有希望的架构，可以在各种应用中提供大量的并行化和高效率。这样的体系结构可以立即提供超快速的操作，以超过广泛的数据，从而在数据密集型工作负载中进行实时性能。例如，基于电阻内存（RERAM）的PIM体系结构以其固有的点 - 产品计算能力而广为人知。尽管这种体系结构的性能是必不可少的，但可靠性和准确性也很重要，尤其是在关键任务实时系统中。不幸的是，PIM架构在保证无错误操作方面具有基本限制。结果，当前方法必须支付高实施费用或绩效罚款，以在PIM加速器中实现可靠的执行。在本文中，我们对基于RERAM的PIM体系结构的可靠性限制进行了基本观察。因此，我们提出了一种新颖的解决方案 - 易于耐受的pim或fat-pim，可以以低成本显着提高此类系统的可靠性。我们的评估表明，只有4.9％的性能成本和3.9％的存储开销，我们可以显着提高误差耐力。
Processing In Memory (PIM) accelerators are promising architecture that can provide massive parallelization and high efficiency in various applications. Such architectures can instantaneously provide ultra-fast operation over extensive data, allowing real-time performance in data-intensive workloads. For instance, Resistive Memory (ReRAM) based PIM architectures are widely known for their inherent dot-product computation capability. While the performance of such architecture is essential, reliability and accuracy are also important, especially in mission-critical real-time systems. Unfortunately, the PIM architectures have a fundamental limitation in guaranteeing error-free operation. As a result, current methods must pay high implementation costs or performance penalties to achieve reliable execution in the PIM accelerator. In this paper, we make a fundamental observation of this reliability limitation of ReRAM based PIM architecture. Accordingly, we propose a novel solution--Falut Tolerant PIM or FAT-PIM, that can improve reliability for such systems significantly at a low cost. Our evaluation shows that we can improve the error tolerance significantly with only 4.9% performance cost and 3.9% storage overhead.
