Neena Imam

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—A numerical method for global optimization of quantum-well infrared photodetector (QWIP) performance parameters is presented and experimentally verified. The single-band effective-mass Schroedinger equation is solved by employing the argument principle method (APM) to extract both the bound and quasibound eigen-energies of the quantum heterostructure. APM(More)
iv ACKNOWLEDGEMENT I would like to take this opportunity to thank my advisor, Dr. Phillip Allen, for assisting me in transforming abstract ambition into tangible and relevant research work. Dr. Allen has provided instruction and guidance that has not only aided in the creation of this work, but also given me valuable insight into the personal and(More)
Importance of achieving high performance Fourier transforms for Cognitive Radio applications can not be over-emphasized. This includes signal detection in the presence of noise power uncertainty, multi-resolution spectrum sensing, minimization of subcarriers' side lobes in OFDM modulators, multi-stream processing, or spectrum loading, for example. With the(More)
The emergence of streaming multicore processors with multi-SIMD architectures opens unprecedented opportunities for executing many sophisticated signal processing algorithms, including FFTs, faster and within a much lower energy budget. We report on the development, implementation, and demonstration of a novel, massively parallel computational scheme for(More)
Modern graphics processing units (GPUs) have complex architectures that admit exceptional performance and energy efficiency for high-throughput applications. Although GPUs consume large amounts of power, their use for high-throughput applications facilitate state-of-the-art energy efficiency and performance. Consequently, continued development relies on(More)
The worth of completing parallel tasks is modeled using utility functions, which monotonically-decrease with time and represent the importance and urgency of a task. These functions define the utility earned by a task at the time of its completion. The performance of such a system is measured as the total utility earned by all completed tasks over some(More)
With increasing high performance computing (HPC) energy consumption and the rising cost of energy, it has become important to be able to monitor and manage energy andpower consumption. Dashboards will monitor and display energy and power consumption of various physical data center components in or near real time as well as trend data. The dashboard will(More)
File transfers over dedicated connections, supported by large parallel file systems, have become increasingly important in high-performance computing and big data workflows. It remains a challenge to achieve peak rates for such transfers due to the complexities of file I/O, host, and network transport subsystems, and equally importantly, their interactions.(More)
Split-execution computing leverages the capabilities of multiple computational models to solve problems, but splitting program execution across different computational models incurs costs associated with the translation between domains. We analyze the performance of a split-execution computing system developed from conventional and quantum processing units(More)