Yu Zhang

TL;DR: This paper investigates the energy cost minimization problem with joint consideration of VM migration, task allocation and green energy scheduling and proves its NP-hardness, and proposes a heuristic algorithm approximating the optimal solution and shows that it can efficiently reduce brown energy consumption.

TL;DR: A novel and efficient iterative directed graph processing system on a machine with the support of multiple GPUs that takes advantage of the dependencies between vertices in three novel ways to help efficient vertex state propagation along the paths over GPUs for faster convergence speed and higher utilization ratio of the loaded data.

TL;DR: This paper proposes a correlations-aware execution model, together with a core-subgraph based scheduling algorithm, to enable these CGP jobs to efficiently share the graph structure data in cache/memory and their accesses by fully exploiting such correlations.

TL;DR: The landscape of emerging NVMM technologies is revisited, and the state-of-the-art studies ofNVMM technologies are surveyed, as well as the recent work of hybrid memory system designs from the dimensions of architectures, systems, and applications.

TL;DR: In this article, an edge-centric code offloading system, called Echo, over a three-layer computing hierarchy consisting of mobile devices, the edge, and the cloud, is proposed.