Alan George
University of Pittsburgh
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Publication
Featured researches published by Alan George.
ieee high performance extreme computing conference | 2017
Benjamin Schwaller; Barath Ramesh; Alan George
Future space missions require reliable architectures with higher performance and lower power consumption. Exploring new architectures worthy of undergoing the expensive and time-consuming process of radiation hardening is critical for this endeavor. Two such architectures are the Texas Instruments KeyStone II octal-core processor and the ARM® Cortex®-A53 (ARMv8) quad-core CPU. DSPs have been proven in prior space applications, and the KeyStone II has eight high-performance DSP cores and is under consideration for potential hardening for space. Meanwhile, a radiation-hardened quad-core ARM Cortex-A53 CPU is under development at Boeing under the NASA/AFRL High-Performance Spaceflight Computing initiative. In this paper, we optimize and evaluate the performance of batched 1D-FFTs, 2D-FFTs, and the Complex Ambiguity Function (CAF). We developed a direct memory-access scheme to take advantage of the complex KeyStone architecture for FFTs. Our results for batched 1D-FFTs show that the performance per Watt of KeyStone II is 4.5 times better than the ARM Cortex-A53. For CAF, our results show that the KeyStone II is 1.7 times better.
ieee aerospace conference | 2017
Christopher Wilson; Sebastian Sabogal; Alan George; Ann Gordon-Ross
The main design challenge in developing space computers featuring hybrid system-on-chip (SoC) devices is determining the optimal combination of size, weight, power, cost, performance, and reliability for the target mission, while addressing the complexity associated with combining fixed and reconfigurable logic. This paper focuses upon fault-tolerant computing with adaptive hardware redundancy in fixed and reconfigurable logic, with the goal of providing and evaluating tradeoffs in system reliability, performance, and resource utilization. Our research targets the hybrid Xilinx Zynq SoC as the primary computational device on a flight computer. Typically, flight software on a Zynq runs on the ARM cores that by default operate in symmetric multiprocessing (SMP) mode. However, radiation tests have shown this mode can leave the system prone to upsets. To address this limitation, we present a new framework (HARFT: hybrid adaptive reconfigurable fault tolerance) that enables switching between three operating modes: (1) ARM cores running together in SMP mode; (2) ARM cores running independently in asymmetric multiprocessing (AMP) mode; and (3) an FPGA-enhanced mode for fault tolerance. While SMP is the default mode, AMP mode may be used for fault-tolerant and real-time extensions. Additionally, the FPGA-enhanced mode uses partially reconfigurable regions to vary the level of redundancy and include application- and environment-specific techniques for fault mitigation and application acceleration.
ieee aerospace conference | 2018
Edward Carlisle; Alan George
ieee aerospace conference | 2018
Daniel Sabogal; Alan George
ieee aerospace conference | 2018
Antony Gillette; Brendan O'Connor; Christopher Wilson; Alan George
Proceedings of the IEEE | 2018
Alan George; Christopher Wilson
Archive | 2018
Thomas Cook; Nicholas Franconi; Bradley Shea; Christopher Wilson; Brandon M. Grainger; Alan George; Ansel Barchowsky
Archive | 2018
Jacob Manning; David Langerman; Barath Ramesh; Evan Gretok; Christopher Wilson; Alan George; James MacKinnon; Gary Crum
Journal of Aerospace Information Systems | 2018
Tyler M. Lovelly; Travis W. Wise; Shaun H. Holtzman; Alan George
Journal of Aerospace Information Systems | 2018
Christopher Wilson; Alan George