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Opportunity at Air Force Research Laboratory (AFRL)

Spacecraft Performance Analytics and Computing Environment Research


Space Vehicles Directorate, RV/Space and Planetary Sciences

RO# Location
13.40.01.B8304 Kirtland Air Force Base, NM 871175776


Name E-mail Phone
Mee, Jesse K 505.846.3749


The current methods for the identification of future technological capabilities required to support next-generation DOD systems lack the quantitative sophistication and detail needed to compare system gains resulting from Size, Weight and Power (SWaP) and performance improvements at the device/component level. Furthermore, owing to the increasing complexity of modern computing architectures, there is no longer a trivial approach toward selection of onboard hardware resources necessary to meet future Air Force mission needs. To address these concerns, the Air Force Research Laboratory (AFRL) has recently established a dedicated architecture test-bed under the Spacecraft Performance Analytics and Computing Environment Research (SPACER) project. This test-bed allows researchers to address the increasing challenge of mapping mission requirements to hardware and software implementations for space computing applications. This multifaceted project provides multiple challenging research opportunities for an enthusiastic applicant. In particular, we are seeking support with identification and design of the optimized heterogeneous computing architecture for a specialized mission application code. This effort will require decomposition of the application code into a sum of its low level computational pieces (e.g., FFT, Matrix-Matrix multiply), benchmarking of those computational pieces on the test-bed hardware resources, and design of an optimized hardware platform for the mission. In another effort, we seek to develop a satellite system level model that enables creation of a performance trade-space characterizing top-level mission impacts as a function of modifications at the individual component level. This model allows the user to capture the satellite component hierarchy, define the complex time-varying power characteristics, and propagate the model through an orbital simulation to study the on-orbit energy utilization of the candidate architecture. If executed properly, this effort will provide a valuable capability to the Air Force, enabling a more quantitative approach to justification of future research investments, in addition to a better understanding of computational requirements for next generation mission applications



Pineda AC, Mee JK, et al: Benchmarking Image Processing for Space: Introducing the SPACER Architecture Laboratory. IEEE Aerospace, Accepted (2016)

Mee JK, et al: Energy Accounting Model for Hardware Impact Analysis. IEEE Aerospace, Accepted (2016)


Spacecraft; Embedded system; Computer; Architecture; Model; Simulation; Efficiency; Performance; Optimization;


Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral and Senior applicants
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