2021 |
Identifying Radiation-Induced Micro-SEFIs in SRAM FPGAs |
A. Perez, C. Thurlow, M. Wirthlin |
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2021 |
Beyond Floating-Point Ops: CNN Performance Prediction with Critical Datapath Length |
D. Langerman, A. Johnson, K. Buettner and A. D. George |
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2021 |
Neutron Radiation Testing of a TMR VexRiscv Soft Processor on SRAM-Based FPGAs |
A. Wilson, S. Larsen, C. Wilson, C. Thurlow, M. Wirthlin |
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2021 |
Space Station Power Forecasting with LSTMs for an Embedded Platform |
Kocik, J.R.; George, A.D. |
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2021 |
How Reduced Data Precision and Degree of Parallelism Impact the Reliability of Convolutional Neural Networks on FPGAs |
F. Libano, P. Rech, B. Neuman, J. Leavitt, M. Wirthlin, J. Brunhaver |
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2021 |
Onboard Multi-Scale Tile Classification for Satellites and Other Spacecraft |
Evan W. Gretok; Alan D. George |
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2021 |
Design and Validation of an Autonomous Mission Manager towards Coordinated Multi-spacecraft Missions |
Antony Gillette; Patrick Castle; Alan D. George |
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2021 |
RISC-V Benchmarking for Onboard Sensor Processing |
M. Cannizzaro, E. Gretok, A. D. George |
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2021 |
Scalable Performance Prediction of Irregular Workloads in Multi-Phase Particle-in-Cell Applications |
Sai P. Chenna, S Balachandar, Herman Lam, Greg Stitt |
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2021 |
Automated Software Compiler Techniques to Provide Fault Tolerance for Real-Time Operating Systems |
B. James, J. Goeders |
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2020 |
Load Balanced Controller Association in Wireless Distributed SDNs |
A. Starke, J. McNair |
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2020 |
MetaCL: Automated "Meta" OpenCL Code Generation for High-Level Synthesis on FPGA |
P. Sathre, A. Gondhalekar, W. Feng |
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2020 |
Exploring FPGA Optimizations in OpenCL for Breadth-First Search on Sparse Graph Datasets |
A. Gondhalekar, W. Feng |
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2020 |
Statistical Method to Extract Radiation-Induced Multiple-Cell Upsets in SRAM-Based FPGAs |
A. Perez-Celis, M. Wirthlin |
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2020 |
Improving the Reliability of TMR With Nontriplicated I/O on SRAM FPGAs |
M. Cannon, A. Keller, C. Thurlow, A. Perez-Celis, M. Wirthlin |
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2020 |
Modeling Common Cause Failures in Systems with Triple Modular Redundancy and Repair |
M. Cannon, A. Keller, A. Perez-Celis, M. Wirthlin |
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2020 |
Netlist Analysis and Transformations Using SpyDrNet |
D. Skouson, A. Keller, M. Wirthlin |
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2020 |
Applying Compiler-Automated Software Fault Tolerance to Multiple Processor Platforms |
B. James, H. Quinn, M. Wirthlin, J. Goeders |
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2020 |
Using Novel Configuration Techniques for Accelerated FPGA Aging |
T. Gaskin, H. Cook, W. Stirk, R. Lucas, J. Goeders, B. Hutchings |
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2020 |
Evaluation of Point of Load Converters for Space Computational Loads |
T. Cook, A. Phillips, C. Siak, A. D. George and B. M. Grainger |
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2020 |
Accelerate Scientific Deep Learning Models on Heterogeneous Computing Platform with FPGA |
C. Jiang, D. Ojika, T. Kurth, Prabhat, S. Vallecorsa, B. Patel, and H. Lam |
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2020 |
System-level MODSIM of CiM Architectures for Memory-Intensive Applications |
A. Neelakantan, R. Shivakumar, R. Singh, C. Jiang, and H. Lam |
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2020 |
Evaluation of Point of Load Converters for Space Computational Loads |
T. Cook, A. Phillips, C. Siak, A. George, B. Grainger |
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2020 |
Event-Based Noise Filtration with Point-of-Interest Detection and Tracking for Space Situational Awareness |
N. Salvatore, A. George |
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2020 |
Using partial duplication with compare to detect radiation-induced failure in a commercial FPGA-Based networking system |
A. Keller, J. Anderson, M. Wirthlin, S. Wen, R. Fung, C. Chambers |
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2020 |
Understanding the Impact of Quantization, Accuracy, and Radiation on the Reliability of Convolutional Neural Networks on FPGAs |
F. Libano, B. Wilson, M. Wirthlin, P. Rech, J. Brunhaver |
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2020 |
Architectural Analysis of Deep Learning on Edge Accelerators |
L. Kljucaric, A. Johnson, A.D. George |
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2020 |
FPGA Acceleration of Fluid-Flow Kernels |
R. Blanchard, G. Stitt and H. Lam |
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2019 |
Denial of Service Detection & Mitigation Scheme Using Responsive Autonomic Virtual Networks (RAvN) |
A. Starke, A., Z. Nie, M. Hodges, C. Baker, J. McNair |
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2019 |
Reconfigurable Real-Time Video Pipelines on SRAM-based FPGAs |
A. Wilson, M. Wirthlin |
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2019 |
Deep-Learning Inferencing with High-Performance Hardware Accelerators |
L. Kljucaric, A.D. George |
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2019 |
Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel FPGAs |
C. Jiang, D. Ojika, T. Kurth, Prabhat, S. Vallecorsa, B. Patel, H. Lam |
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2019 |
Single-Event Characterization of 16 nm FinFET Xilinx UltraScale+ Devices with Heavy Ion and Neutron Irradiation |
D. Lee, M. King, W. Evans, M. Cannon, A. Perez-Celis, J. Anderson, M. Wirthlin, W. Rice |
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2019 |
Compute Cache Architecture for the Acceleration of Mission-Critical Data Analytics |
H. Lam, S. Bhat, K. Rajasekaran,V. Srinivasan, D. Ojika |
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2019 |
Impact of Soft Errors on Large-Scale FPGA Cloud Computing |
A. Keller, M. Wirthlin |
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2019 |
Comparative Benchmarking Analysis of Next-Generation Space Processors |
E. Gretok, E. Kain, A. D. George |
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2019 |
Third Party CAD Tools for FPGA Design—A Survey of the Current Landscape |
B. Nelson |
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2019 |
Implementation and Design Space Exploration of a Turbo Decoder in High-Level Synthesis |
W. Stirk, J. Goeders |
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2019 |
Microcontroller Compiler-Assisted Software Fault Tolerance |
M. Bohman, B. James, M. Wirthlin, H. Quinn, J. Goeders |
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2019 |
On the Portability of GPU-Accelerated Applications via Automated Source-to-Source Translation |
P. Sathre, M. Gardner, W. Feng |
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2019 |
Selective Hardening for Neural Networks in FPGAs |
F. Libano, B. Wilson, J. Anderson, M. Wirthlin, C. Cazzaniga, C. Frost, P. Rech |
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2019 |
Fast Stochastic Block Partitioning via Sampling |
F. Wayne, V. Gleyzer, W. Feng |
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2019 |
Strategies for Removing Common Mode Failures From TMR Designs Deployed on SRAM FPGAs |
M. Cannon, A. Keller, H. Rowberry, C. Thurlow, A. Perez-Celis, M. Writhlin |
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2019 |
Maverick: A Stand-Alone CAD Flow for Partially Reconfigurable FPGA Modules |
D. Glick, J. Grigg, B. Nelson, M. Wirthlin |
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2019 |
ReCoN: A Reconfigurable CNN Acceleration Framework for Hybrid Semantic Segmentation on Hybrid SoCs for Space Applications |
S. Sabogal, A. George, G. Crum |
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2019 |
Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel FPGA |
C. Jiang, D. Ojika, S. Vallecorsa, T. Kurth3, Prabhat, B. Patel, and H. Lam |
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2019 |
Embedded GPU Cluster Computing Framework for Inference of Convolutional Neural Networks |
E. Kain, D. Wildenstein and A. C. Pineda |
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2019 |
Neutron Radiation Testing of Fault Tolerant RISC-V Soft Processor on Xilinx SRAM-based FPGAs |
A. Wilson, M. Wirthlin |
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2019 |
Single-Event Characterization of a Stratix® 10 FPGA Using Neutron Irradiation |
A. Keller, M. Wirthlin |
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2018 |
A Real-Time, Power-Efficient Architecture for Mean-Shift Image Segmentation |
S. Craciun, R. Kirchgessner, A. George, H. Lam, J. Principe |
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