Livia: Data-Centric Computing Throughout the Memory Hierarchy
Livia: Data-Centric Computing Throughout the Memory Hierarchy
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DOI：
10.1145/3373376.3378497
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发表时间：
2020-03
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通讯作者：
Elliot Lockerman;Axel Feldmann;Mohammad Bakhshalipour;Alexandru Stanescu;Shashwat Gupta;Daniel Sánchez;Nathan Beckmann
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文献类型：
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作者：
Elliot Lockerman;Axel Feldmann;Mohammad Bakhshalipour;Alexandru Stanescu;Shashwat Gupta;Daniel Sánchez;Nathan Beckmann
为了进行扩展，未来的系统将需要大大减少数据移动。利用局部性。 ，一种用于内存服务的新系统体系结构，在内存层次结构中的位置动态安排任务和数据，从而使整体数据移动最小化。同时将动态能量降低1.2×至4.7倍。
In order to scale, future systems will need to dramatically reduce data movement. Data movement is expensive in current designs because (i) traditional memory hierarchies force computation to happen unnecessarily far away from data and (ii) processing-in-memory approaches fail to exploit locality. We propose Memory Services, a flexible programming model that enables data-centric computing throughout the memory hierarchy. In Memory Services, applications express functionality as graphs of simple tasks, each task indicating the data it operates on. We design and evaluate Livia, a new system architecture for Memory Services that dynamically schedules tasks and data at the location in the memory hierarchy that minimizes overall data movement. Livia adds less than 3% area overhead to a tiled multicore and accelerates challenging irregular workloads by 1.3 × to 2.4 × while reducing dynamic energy by 1.2× to 4.7×.