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2020 – today
- 2024
[j4]Blake Pelton
, Adam Sapek, Ken Eguro, Daniel Lo, Alessandro Forin, Matt Humphrey, Jinwen Xi, David Cox, Rajas Karandikar, Johannes de Fine Licht, Evgeny Babin, Adrian M. Caulfield, Doug Burger:
Wavefront Threading Enables Effective High-Level Synthesis. Proc. ACM Program. Lang. 8(PLDI): 1066-1090 (2024)- [i3]Blake Pelton, Adam Sapek, Ken Eguro, Daniel Lo, Alessandro Forin, Matt Humphrey, Jinwen Xi, David Cox, Rajas Karandikar, Johannes de Fine Licht, Evgeny Babin, Adrian M. Caulfield, Doug Burger:
Wavefront Threading Enables Effective High-Level Synthesis. CoRR abs/2405.19514 (2024) - 2023
- [c14]Guo Yang, Daniel Lo, Robert D. Mullins, Yiren Zhao:
Dynamic Stashing Quantization for Efficient Transformer Training. EMNLP (Findings) 2023: 7329-7336 - [i2]Guo Yang, Daniel Lo, Robert D. Mullins, Yiren Zhao:
Dynamic Stashing Quantization for Efficient Transformer Training. CoRR abs/2303.05295 (2023) - [i1]Mojtaba Bisheh-Niasar, Daniel Lo, Anjana Parthasarathy, Blake Pelton, Bharat Pillilli, Bryan Kelly:
PQC Cloudization: Rapid Prototyping of Scalable NTT/INTT Architecture to Accelerate Kyber. IACR Cryptol. ePrint Arch. 2023: 1038 (2023) - 2020
- [c13]Bita Darvish Rouhani, Daniel Lo, Ritchie Zhao, Ming Liu, Jeremy Fowers, Kalin Ovtcharov, Anna Vinogradsky, Sarah Massengill, Lita Yang, Ray Bittner, Alessandro Forin, Haishan Zhu, Taesik Na, Prerak Patel, Shuai Che, Lok Chand Koppaka, Xia Song, Subhojit Som, Kaustav Das, Saurabh Tiwary, Steven K. Reinhardt, Sitaram Lanka, Eric S. Chung, Doug Burger:
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point. NeurIPS 2020
2010 – 2019
- 2019
- [j3]Jeremy Fowers, Kalin Ovtcharov, Michael K. Papamichael, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Logan Adams, Mahdi Ghandi, Stephen Heil, Prerak Patel, Adam Sapek, Gabriel Weisz, Lisa Woods, Sitaram Lanka, Steven K. Reinhardt, Adrian M. Caulfield, Eric S. Chung, Doug Burger:
Inside Project Brainwave's Cloud-Scale, Real-Time AI Processor. IEEE Micro 39(3): 20-28 (2019) - 2018
- [j2]Eric S. Chung, Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Adrian M. Caulfield, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Maleen Abeydeera, Logan Adams, Hari Angepat, Christian Boehn, Derek Chiou, Oren Firestein, Alessandro Forin, Kang Su Gatlin, Mahdi Ghandi, Stephen Heil, Kyle Holohan, Ahmad El Husseini, Tamás Juhász, Kara Kagi, Ratna Kovvuri, Sitaram Lanka, Friedel van Megen, Dima Mukhortov, Prerak Patel, Brandon Perez, Amanda Rapsang, Steven K. Reinhardt, Bita Rouhani, Adam Sapek, Raja Seera, Sangeetha Shekar, Balaji Sridharan, Gabriel Weisz, Lisa Woods, Phillip Yi Xiao, Dan Zhang, Ritchie Zhao, Doug Burger:
Serving DNNs in Real Time at Datacenter Scale with Project Brainwave. IEEE Micro 38(2): 8-20 (2018) - [c12]Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Logan Adams, Mahdi Ghandi, Stephen Heil, Prerak Patel, Adam Sapek, Gabriel Weisz, Lisa Woods, Sitaram Lanka, Steven K. Reinhardt, Adrian M. Caulfield, Eric S. Chung, Doug Burger:
A Configurable Cloud-Scale DNN Processor for Real-Time AI. ISCA 2018: 1-14 - 2017
- [j1]Adrian M. Caulfield, Eric S. Chung, Andrew Putnam, Hari Angepat, Daniel Firestone, Jeremy Fowers, Michael Haselman, Stephen Heil, Matt Humphrey, Puneet Kaur, Joo-Young Kim, Daniel Lo, Todd Massengill, Kalin Ovtcharov, Michael Papamichael, Lisa Woods, Sitaram Lanka, Derek Chiou, Doug Burger:
Configurable Clouds. IEEE Micro 37(3): 52-61 (2017) - 2016
- [c11]Shlomi Alkalay, Hari Angepat, Adrian M. Caulfield, Eric S. Chung, Oren Firestein, Michael Haselman, Stephen Heil, Kyle Holohan, Matt Humphrey, Tamás Juhász, Puneet Kaur, Sitaram Lanka, Daniel Lo, Todd Massengill, Kalin Ovtcharov, Michael Papamichael, Andrew Putnam, Raja Seera, Rimon Tadros, Jason Thong, Lisa Woods, Derek Chiou, Doug Burger:
Agile Co-Design for a Reconfigurable Datacenter. FPGA 2016: 15 - [c10]Taejoon Song, Daniel Lo, G. Edward Suh:
Prediction-Guided Performance-Energy Trade-off with Continuous Run-Time Adaptation. ISLPED 2016: 224-229 - [c9]Adrian M. Caulfield, Eric S. Chung, Andrew Putnam, Hari Angepat, Jeremy Fowers, Michael Haselman, Stephen Heil, Matt Humphrey, Puneet Kaur, Joo-Young Kim, Daniel Lo, Todd Massengill, Kalin Ovtcharov, Michael Papamichael, Lisa Woods, Sitaram Lanka, Derek Chiou, Doug Burger:
A cloud-scale acceleration architecture. MICRO 2016: 7:1-7:13 - 2015
- [c8]Mohamed Ismail, Daniel Lo, G. Edward Suh:
Improving worst-case cache performance through selective bypassing and register-indexed cache. DAC 2015: 123:1-123:6 - [c7]Daniel Lo, Tao Chen, Mohamed Ismail, G. Edward Suh:
Run-time monitoring with adjustable overhead using dataflow-guided filtering. HPCA 2015: 662-674 - [c6]Daniel Lo, Taejoon Song, G. Edward Suh:
Prediction-guided performance-energy trade-off for interactive applications. MICRO 2015: 508-520 - 2014
- [c5]Daniel Lo, Mohamed Ismail, Tao Chen, G. Edward Suh:
Slack-aware opportunistic monitoring for real-time systems. RTAS 2014: 203-214 - 2012
- [c4]Daniel Lo, G. Edward Suh:
Worst-case execution time analysis for parallel run-time monitoring. DAC 2012: 421-429 - 2011
- [c3]Daniel Lo, Greg Malysa, G. Edward Suh:
FlexCache: Field Extensible Cache Controller Architecture Using On-chip Reconfigurable Fabric. FPL 2011: 244-251 - 2010
- [c2]Skyler Schneider, Daniel Y. Deng, Daniel Lo, Greg Malysa, G. Edward Suh:
Implementing dynamic information flow tracking on microprocessors with integrated FPGA fabric (abstract only). FPGA 2010: 285 - [c1]Daniel Y. Deng, Daniel Lo, Greg Malysa, Skyler Schneider, G. Edward Suh:
Flexible and Efficient Instruction-Grained Run-Time Monitoring Using On-Chip Reconfigurable Fabric. MICRO 2010: 137-148
Coauthor Index
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