用于数据密集型处理的逻辑增强存储器

S. Van Singel, N. Soparkar
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引用次数: 4

摘要

新兴的计算机应用具有独特的大容量数据处理和高性能要求(如多媒体系统)。标准计算机硬件不能很好地支持这些要求:主要的性能降低因素是有限的可用内存带宽。为了缓解这个问题,我们的目标是评估和开发硬件内存的效用,并选择可编程处理能力作为标准方法的替代方案。其关键思想是将简单的、大容量的数据处理卸载到内存本身,以减少处理器和内存单元之间的流量。我们为逻辑增强的内存体系结构考虑一个简单的数学模型,并使用它,我们展示了性能方面的潜在收益。
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Logic-enhanced memories for data-intensive processing
Emerging computer applications have unique high-volume data processing and high-performance requirements (e.g. multimedia systems). These requirements are not supported well by standard computer hardware: the major performance degrading factor being the limited memory bandwidth available. To alleviate this problem, we aim to assess and develop the utility of hardware memory enhanced with selected programmable processing capabilities as an alternative to the standard approaches. The key idea is to off-load simple, high-volume data processing to the memory itself in order to reduce the traffic between the processor and the memory units. We consider a simple mathematical model for logic-enhanced memory architectures, and using it, we exhibit the potential gains in performance.
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