Qixiao Liu

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Accurately determining the energy consumed by each task in a system will become of prominent importance in future multicore-based systems because it offers several benefits, including (i) better application energy/performance optimizations, (ii) improved energy-aware task scheduling, and (iii) energy-aware billing in data centers. Unfortunately, existing(More)
We present for the first time the concept of per-task energy accounting (PTEA) and relate it to per-task energy metering (PTEM). We show the benefits of supporting both in future computing systems. Using the shared last-level cache (LLC) as an example: (1) We illustrate the complexities in providing PTEM and PTEA; (2) we present an idealized PTEM model and(More)
Interaction across applications in DRAM memory impacts its energy consumption. This paper makes the case for accurate pertask DRAM energy metering in multicores, which opens new paths to energy/performance optimizations, such as per-task energy-aware task scheduling and energy-aware billing in datacenters. In particular, the contributions of this paper are(More)
Chip multicore processors (CMPs) are the preferred processing platform across different domains such as data centers, real-time systems, and mobile devices. In all those domains, energy is arguably the most expensive resource in a computing system. Accurately quantifying energy usage in a multicore environment presents a challenge as well as an opportunity(More)
Accurate per-task energy estimation in multicore systems would allow performing per-task energy-aware task scheduling and energy-aware billing in data centers, among other applications. Per-task energy estimation is challenged by the interaction between tasks in shared resources, which impacts tasks’ energy consumption in uncontrolled ways. Some(More)
As the energy cost in todays computing systems keeps increasing, measuring the energy becomes crucial in many scenarios. For instance, due to the fact that the operational cost of datacenters largely depends on the energy consumed by the applications executed, end users should be charged for the energy consumed, which requires a fair and consistent energy(More)
As oil transport increasing in the Texas bays, greater risks of ship collisions will become a challenge, yielding oil spill accidents as a consequence. To minimize the ecological damage and optimize rapid response, emergency managers need to be informed with how fast and where oil will spread as soon as possible after a spill. The state-of-the-art(More)
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