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As systems scale toward exascale, many resources will become increasingly constrained. While some of these resources have historically been explicitly allocated, many—such as network bandwidth, I/O bandwidth, or power—have not. As systems continue to evolve, we expect many such resources to become explicitly managed. This change will pose critical challenges to resource management and job scheduling...
In the Big Data era, the gap between the storage performance and an application's I/O requirement is increasing. I/O congestion caused by concurrent storage accesses from multiple applications is inevitable and severely harms the performance. Conventional approaches either focus on optimizing an application's access pattern individually or handle I/O requests on a low-level storage layer without any...
Today's scientific applications increasingly involve large amounts of input/output data that must be moved among multiple computing facilities via wide-area networks (WANs). The bandwidth of WANs, however, is growing at a much smaller rate and thus becoming a bottleneck. Moreover, the network bandwidth has not been viewed as a limited resource, and thus coordinated allocation is lacking. Uncoordinated...
Cloud infrastructures have seen increasing popularity for addressing the growing computational needs of today's scientific and engineering applications. However, resource management challenges exist in the elastic cloud environment, such as resource provisioning and task allocation, especially when data movement between multiple domains plays an important role. In this work, we study the impact of...
Recently the mobile cloud computing (MCC) are increasingly emerging as an efficient environment to provide lots of effective and convenient mobile services for our daily life. Different from cloud computing, MCC dominant the properties of mobile devices rather than PC such as mobile network 3G/4G, limited hardware resources, mobility, etc. Therefore, Quality of Experience (QoE) on mobile devices plays...
Increasingly larger scale simulations are generating an unprecedented amount of data. However, the increasing gap between computation and I/O capacity on High End Computing machines makes a severe bottleneck for data analysis. As a solution, in-situ analytics processes output data while simulations are running and before placing data on disk. Data movement between simulation and analytics, however,...
The TO-46 header used for high speed VCSEL or PIN-TIA package is characterized through a specially designed K connector experimentally. An equivalent circuit model of the TO-46 header has been extracted. The TO-46 header is shown to be capable to be used in 25 Gb/s applications.
We present a 4-channel bio-potential recording system using asynchronous delta analog-to-digital converter. The system is designed to reduce the amount of data in neuro-physiological sensors. The circuit includes low-power low-noise amplifiers with asynchronous delta modulators. The analog front end offers a gain of 53 dB within bandwidth of 200 Hz-20 kHz. In this asynchronous data converter, the...
We present a low-power pulse-based amplifier and data conversion circuit for recording bio-potentials. The circuit is designed for data reduction in neurophysiological sensor and communication systems. A low-power low-noise AC amplifier with an asynchronous delta A/D converter is implemented. The asynchronous delta modulation has the advantage of data reduction, clock-less and no quantization noise...
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