Zhen Jia

TL;DR: The big data benchmark suite-BigDataBench not only covers broad application scenarios, but also includes diverse and representative data sets, and comprehensively characterize 19 big data workloads included in BigDataBench with varying data inputs.

TL;DR: The study on the workloads reveals that data analysis applications share many inherent characteristics, which place them in a different class from desktop, HPC, and service workloads, including traditional server workloads (SPECweb200S) and scale-out service workloadS (four among six benchmarks in CloudSuite), and accordingly the authors give several recommendations for architecture and system optimizations.

TL;DR: This paper proposes the first benchmark suite CloudRank-D to benchmark and rank cloud computing systems that are shared for running big data applications, and proposes two simple metrics: data processing per second and data processed per Joule as two complementary metrics for evaluating cloud computing system performance.

TL;DR: FlyWire, an online community for proofreading neural circuits in a fly brain, is presented and it is demonstrated how FlyWire enables circuit analysis by reconstructing and analysing the connectome of mechanosensory neurons.

TL;DR: In this paper, the authors present a big data benchmark suite BigDataBench, which covers broad application scenarios, but also includes diverse and representative data sets, and comprehensively characterize 19 big data workloads included in BigDatabench with varying data inputs.