We first propose a simple model of DAG which is expressive enough to emulate complex memory behaviors. We then exhibit a polynomial-time algorithm that computes the maximum memory peak of a DAG, that is, the maximum memory needed by any parallel schedule.

This paper introduces a novel DAG scheduling algorithm for heterogeneous real-time systems that overcomes the limitations of existing methods. First, a novel node-level priority assignment is proposed that fully exploits the DAG structure to enhance the timing performance.

什么是dag？ DAG 是图结构中的一种，称为有向无环图。 有向说明图中节点之间是有方向的，无环指图中没有环（回路），意味着从任一顶点出发都不可能回到顶点本身。

We aim at bounding the maximum amount of memory that may be needed by any schedule using p processors to execute the DAG. We refine the classical model that computes maximum cuts by introducing two types of memory edges in the DAG, black edges for regular precedence constraints and red edges for actual memory consumption during execution.

2019年6月1日 · This paper focuses on the problem of transforming such a DAG to prevent memory shortage, and concentrates on shared memory platforms. We first propose a simple model of DAGs which is expressive enough to emulate complex memory behaviors.

Using this schedulability test, we propose a new DAG scheduling framework (edge generation scheduling—EGS) that attempts to minimize the DAG width by iteratively generating edges while guaranteeing the deadline constraint. We study how to efficiently solve the problem of generating edges by developing a deep reinforcement learning algorithm ...

Given a schedule 1 with memory M for the left in-tree, derive a schedule 2 for the right out-tree, obtained by reversing all edges? Replace subgraphs by chains of nodes (based on opt. sched.) Theorem. When data must either be kept in memory or fully evicted to disk, deciding which data to write to disk is NP-complete.

In HPE Machine Learning Data Management, a Directed Acyclic Graph (DAG) is a collection of pipelines connected by data dependencies. The DAG defines the order in which pipelines are executed and how data flows between them.

DAG ( Directed Acyclic Graph)，有向无环图，是指任意一条边有方向，且不存在环路的图。 如果把依赖关系的问题建模成 DAG, 依赖关系成为 Graph 中的 Directed Edge, 然后通过拓扑排序，不断遍历和剔除无依赖的接点，可以达到快速解决依赖的目的。

CAPACITIVE sensing is commonly used in MEMS Cori- olis vibratory gyroscopes (CVGs) for detection of vibra- tory motion based on measurement of the motion-induced current. Parallel-plates and...