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White Paper
[W1] K. Mazumdar, X. Guo, R. Zhang, M. Stan, "Charge-Recycled Power-Regulation with Stacked Loads and Stacked Switched-Capacitors,"
2020:
Journal Papers:
[J4] P. Guerrero, T. Tracy II, X. Guo, M. Lenjani, K. Skadron and M. Stan, "Towards on-node machine learning for ultra-low-power sensors using asynchronous Sigma Delta streams" ACM Journal on Emerging Technologies in Computing Systems (JETC), Vol. 16, No. 4, Article 44 , doi.org/10.1145/3404975, 2020. (pdf)
Conference Papers:
[C26] M. El-Hadedy, X. Guo, W. Hsu, K. Skadron, "Edge Crypt-Pi: Securing Internet of Things with Light and Fast Crypto-Processor," Proc. of the Future Technologies Conference (FTC), Vancouver, Canada, November 2020. (pdf)
2019:
Book:
X. Guo, M. R. Stan, "Circadian Rhythms for Future Resilient Electronic Systems - Accelerated Active Self- Healing for Integrated Circuits," Springer, 2019. (link) (Amazon) New!!!
Conference Papers:
[C25] P. Guerrero, T. Tracy, X. Guo, M. Stan, "Towards low-power machine learning using asynchronous computing with streams,'' Proc. of International Green and Sustainable Computing Conference (IGSC), Alexandria, Virginia, October 2019. (pdf)
[C24] P. Guerrero, X. Guo, M. Stan, "ASC-FFT: Area-efficient low-latency FFT design based on asynchronous stochastic computing,'' Proc. of IEEE Latin American Symposium on Circuits and Systems (LASCAS), Armenia, Quindío, Colombia, February 2019. (Best Paper Award) (pdf)
Posters:
[P13] S. Mosanu, X. Guo, M. El-Hadedy, L. Anghel, M. Stan, "Flexi-AES: A Highly-Parameterizable Cipher for a Wide Range of Design Constraints'', Proc. of IEEE International Symposium On Field-Programmable Custom Computing Machines (FCCM), San Diego, CA, April 2019. (pdf)
2018:
PhD Dissertation:
[D] X. Guo, "Towards Wearout-Aware and Accelerated Self-Healing Digital Systems", University of Virginia Library, March 2018. (link) (slides upon request)
Conference Papers:
[C23] S. Mosanu, X. Guo, M. El-Hadedy, L. Anghel, M. Stan, "AES and SHA Cryptography Library for Chisel,'' Chisel Community Conference (CCC), Berkeley, CA, November 2018. (Youtube) (Github)
[C22] P. Guerrero, X. Guo, M. Stan, "SC-SD: Towards Low Power Stochastic Computing on Sigma Delta Streams,'' IEEE International Conference on Rebooting Computing (ICRC), Tysons, VA, November 2018. (Video)(pdf)
[C21] V. Verma, X. Guo, M. Stan, "Low-Power Design with Open-Source Hardware: Opportunities and Challenges," Workshop on Open-Source EDA Technology (WOSET), co-located with ICCAD, San Diego, CA, November 2018. (link) (pdf)
[C20] A. Roelke, X. Guo, M. Stan, "OldSpot: A Pre-RTL Model for Fine-grained Aging and Lifetime Optimization,'' IEEE International Conference on Computer Design (ICCD), Orlando, FL, October 2018. (pdf) (Github)
[C19] V. Verma, X. Guo, M. Das, S. Eldridge, Y. Chen, K. Swaminathan, M. Cochet, N. Chandramoorthy, M. Ziegler, C. Vezyrtzis, M. R. Stan, A. Buyuktosunoglu, R. V. Joshi, P. Bose, "VELOUR: Very-Low Voltage Resilient Heterogeneous System with Open-Source Processor and Deep Neural Network Accelerator in 14nm FinFET Technology,'' SRC TECHCON, Austin, TX, September 2018.
[C18] X. Guo, V. Verma, P. Guerrero and M. Stan, "When "things" get older - Exploring Circuit Aging in IoT Applications", International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, March 2018. (pdf) (link)
[C17] D. Kamakshi, X. Guo, H. Patel, M. Stan and B. Calhoun, "A Post-Silicon Hold Time Closure Technique using Data-Path Tunable-Buffers for Variation-Tolerance in Sub-threshold Designs", International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, March 2018. (pdf) (link)
[C16] S. Eldridge, V. Verma, X. Guo, A. Roelke, K. Swaminathan, N. Chandramoorthy, M. Cochet, A. Buyuktosunoglu, C. Vezyrtzis, R. Joshi, M. Ziegler, M. Stan, P. Bose, "VELOUR - Very Low Voltage Operation Under Resilience Constraints," The Government Microcircuit Applications and Critical Technology Conference (GOMACTech), Miami, FL, March 2018.
Posters:
[P12] V. Verma, M. Das, X. Guo, S. Eldridge, Y. Chen, B. Ghaemmaghami, M. Stan, P. Bose, "Very-low voltage open-source processor and deep neural network accelerator in 14nm FinFET technology," 14th University of Virginia Engineering Research Symposium (UVERS), Charlottesville, VA, March 2018.
2017:
Patent:
[PA1] M. El-Hadedy, X. Guo, M. Stan, M. Margala, K. Skadron, "Dual-Data Rate Transpose-Memory Architecture." Pending.
Journal Papers:
[J3] X. Guo, V. Verma, P. Guerrero, S. Mosanu, M. Stan, "Back to the Future: Digital Circuit Design in the FinFET Era," Journal of Low Power Electronics (JOLPE), Vol. 13, No. 3, pp. 338–355, DOI 10.1166/jolpe.2017.1489, September 2017. (Invited Paper) (pdf) ((Invited Talk video)
Conference Papers:
[C15] M. El-Hadedy, X. Guo, X. Huang, M. Margala, "RE-HASE: Regular-Expressions Hardware Synthesis Engine," Third International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'17), in conjunction with SC, Denver, CO, November 2017. (pdf) (slides)
[C14] S. Eldridge, K. Swaminathan, N. Chandramoorty, A. Buyuktosunoglu, A. Roelke, X. Guo, V. Verma, R. Joshi, M. Stan, P. Bose, “A low voltage RISC-V heterogeneous system: boosted SRAMs, machine learning and fault injection on VELOUR," Workshop on Computer Architecture Research with RISC-V (CARRV), co-located with IEEE MICRO, Boston, MA, October 2017. (pdf)
[C13] X. Guo, M. Stan, "Deep Healing: Ease the BTI and EM Wearout Crisis by Activating Recovery," SRC TECHCON, Austin, TX, September 2017. (Best in Session Award)
[C12] M. El-Hadedy, X. Guo, M. Stan, K. Skadron, W. Hwu, "R-NNPE: Reconfigurable Neural Network Processing Elements," SRC TECHCON, Austin, TX, September 2017.
[C11] M. El-Hadedy, X. Guo, W. Hwu, M. Stan, K. Skadron, "Crypt-Pi: A Light and Fast Crypto-Processor for IoT Applications," SRC TECHCON, Austin, TX, September 2017. (Best in Session Award)
[C10] X. Guo, M. Stan, "Deep Healing: Ease the BTI and EM Wearout Crisis by Activating Recovery," Proc. of IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Workshop, Denver, CO, June 2017. (pdf) (slides)
[C9] M. El-Hadedy, X. Guo, M. Stan, K. Skadron, "PPE-ARX: Area- and Power-Efficient VLIW Programmable Processing Element for IoT Crypto-Systems," Proc. of NASA/ESA Conference on Adaptive Hardware and Systems (AHS), Pasadena, CA, July 2017. (pdf)
[C8] X. Guo, M. Stan, "Deep Healing: Ease the BTI and EM Wearout Crisis by Activating Recovery," Proc. of 13th IEEE Workshop on Silicon Errors in Logic–System Effects (SELSE-13), Boston, MA, March 2017. (Best Paper Award) (pdf) (slides) (poster)
Posters:
[P11] D. Akella, X. Guo, M. Stan, B. H. Calhoun, "Enabling Post-Silicon Hold Time Closure by Tunable-Buffer Insertion," Design Automation Conference (DAC), Work-in-Progress (WIP) Poster Session, Austin, TX, June 2017.
[P10] X. Guo, M. Stan, "Exploring Aging Issues in Low-Power Internet of Things (IoT) Applications," the 13th Annual University of Virginia Engineering Research Symposium (UVERS), Charlottesville, VA, March 2017. (Acceptance Rate: 25/85 = 29.4%) (pdf)
2016:
Journal Papers:
[J2] X. Guo, M. Stan, "Implications of Accelerated Self-Healing as a Key Design Knob for Cross-Layer Resilience", INTEGRATION, the VLSI journal (VLSI), DOI 10.1016/j.vlsi.2016.10.008, vol. 56, pp. 167-180, 2017. (pdf)
[J1] M. El-Hadedy, X. Guo, M. Margala, M. Stan, K. Skadron, "Dual-Data Rate Transpose-Memory Architecture Improves the Performance, Power and Area of Signal-Processing Systems." Journal of Signal Processing Systems (JSPS), DOI 10.1007/s11265-016-1199-1, (2016): 1-18. (pdf)
Conference Papers:
[C7] X. Guo, M. Stan, "Enabling Wearout-Immune BEOL and FEOL with Active Rejuvenation," Proc. of the IEEE/ACM Workshop on Variability Modeling and Characterization (VMC), in conjunction with ICCAD, Austin, TX, November 2016. (pdf) (poster) (link)
[C6] X. Guo, M. Stan, "Towards Wearout-Free Systems: A Self-Healing Strategy Enabled by Accelerated and Active Recovery," SRC TECHCON, Austin, TX, September 2016. (pdf) (slides) (poster)
[C5] M. El-Hadedy, X. Guo, M. Stan, K. Skadron, "Area-Efficient VLIW-based Programmable Processing Element for Crypto-Systems," SRC TECHCON, Austin, TX, September 2016. (pdf) (slides) (poster)
[C4] X. Guo, M. Stan, "Work hard, sleep well - Avoid irreversible IC wearout with proactive rejuvenation," Proc. of the ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), Macau, China, January 2016. (Acceptance Rate: 94/274 = 34.3%) (pdf) (slides)
Posters:
[P9] X. Guo, M. Stan, "Towards Wearout-aware and Accelerated Self-healing Digital Systems," ACM Student Research Competition (SRC), IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Austin, TX, November 2016. (poster)
[P8] X. Guo, M. Stan, "CLASH - Cross-Layer Accelerated Self-Healing: Circadian Rhythms for Resilient Electronic Systems," SRC System Level Design (SLD) Review, Hillsboro, OR, April 2016. (poster)
[P7] X. Guo, M. Stan, "Towards Wearout-aware and Accelerated Self-healing Digital Systems," SIGDA Student Research Forum (SRF), Asia and South Pacific Design Automation Conference (ASP-DAC), Macau, China, January 2016. (link) (abstract) (poster)
2015:
Conference Papers:
[C3] X. Guo, M. Stan, "MCPENS: Multiple-Critical-Path Embeddable NBTI Sensors for Dynamic Wearout Management," Proc. of 11th IEEE Workshop on Silicon Errors in Logic–System Effects (SELSE-11), pp. 116-121, Austin, TX, April 2015. (pdf) (slides)
Posters:
[P6] A. Roelke, X. Guo, M. Stan, "Architecture Implications of Proactive Accelerated Wearout and Recovery," Center for Future Architecture (C-FAR) Annual Review Poster Pitches, Ann Arbor, MI, November 2015. (pdf)
[P5] X. Guo, M. Stan, "Towards Wearout-aware and Accelerated Self-healing Digital Systems," In SIGDA PhD Forum, Design Automation Conference (DAC), San Francisco, CA, June 2015. (link) (abstract) (poster)
[P4] X. Guo, M. Stan, "Towards Aging-aware and Self-healing VLSI Chips and Systems," the 11th Annual University of Virginia Engineering Research Symposium (UVERS), Charlottesville, VA, March 2015. (pdf)
[P3] M. Stan, X. Guo, A. Roelke, "Modeling and Experimental Demonstration of Accelerated Self-Healing Techniques in CMOS Circuits," Proc. of the Government Microcircuit Applications & Critical Technology Conference (GOMAC Tech), St. Louis, MO, March 2015. (pdf)
2014:
Conference Papers:
[C2] X. Guo, W. Burleson, M. Stan, "Modeling and Experimental Demonstration of Accelerated Self-Healing Techniques," In Proc. of ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, June 2014. (Acceptance Rate: 174/787 = 22%) (pdf) (.ppt) (poster)
[C1] Y. Zhao, Y. Yang, K. Mazumdar, X. Guo, M.R. Stan, "A Multi-Output on-Chip Switched-Capacitor DC-DC Converter for Near- and Subthreshold Power Modes," In Proc. of IEEE International Symposium on Circuits and Systems (ISCAS), Melbourne, Australia, June 2014. (pdf) (.ppt)
Posters:
[P2] X. Guo, M. Stan, "Exploring Accelerated Self-Healing Techniques for Electronic Chips and Systems," the 10th Annual University of Virginia Engineering Research Symposium (UVERS), Charlottesville, VA, March 2014.(pdf)
2013:
Posters:
[P1] X. Guo and M. Stan, "Aging effect in FPGA chips and systems," A. Richard Newton Young Fellow Poster Session, Design Automation Conference (DAC), Austin, TX, June 2013. (pdf)
