Design-space exploration and runtime resource management for multicores
Design-space exploration and runtime resource management for multicores
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DOI：
10.1145/2514641.2514647
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发表时间：
2013-09
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通讯作者：
Giovanni Mariani;G. Palermo;V. Zaccaria;C. Silvano
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文献类型：
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作者：
Giovanni Mariani;G. Palermo;V. Zaccaria;C. Silvano
特定于应用的多核架构通常通过使用可配置的平台来设计，其中可以调整一组参数以找到所选品质因数（例如能量，延迟和面积）的最佳折衷。这个多目标优化阶段被称为设计空间探索（DSE）。在设计时（硬件）可配置参数中，我们可以找到内存子系统配置（例如高速缓存大小和关联性）和其他架构参数，例如系统处理器的指令级并行性。在运行时（软件）可配置参数中，我们可以找到与平台上运行的每个应用程序相关的任务级并行度。这篇文章的贡献是双重的，首先，我们介绍了一种进化（基于NSGA-II）的方法来确定一个硬件配置，这是强大的应用程序和相应的数据集。其次，我们引入了一种新的运行时启发式，利用设计时确定的操作点，以提供保证吞吐量的每个应用程序。实验结果表明，设计时/运行时相结合的方法提高了系统的运行时性能，相对于现有的参考技术，同时满足整体的功耗预算。
Application-specific multicore architectures are usually designed by using a configurable platform in which a set of parameters can be tuned to find the best trade-off in terms of the selected figures of merit (such as energy, delay, and area). This multi-objective optimization phase is called Design-Space Exploration (DSE). Among the design-time (hardware) configurable parameters we can find the memory subsystem configuration (such as cache size and associativity) and other architectural parameters such as the instruction-level parallelism of the system processors. Among the runtime (software) configurable parameters we can find the degree of task-level parallelism associated with each application running on the platform. The contribution of this article is twofold; first, we introduce an evolutionary (NSGA-II-based) methodology for identifying a hardware configuration which is robust with respect to applications and corresponding datasets. Second, we introduce a novel runtime heuristic that exploits design-time identified operating points to provide guaranteed throughput to each application. Experimental results show that the design-time/runtime combined approach improves the runtime performance of the system with respect to existing reference techniques, while meeting the overall power budget.