Daniel Lo

21 papers A* 8A 4B 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Wavefront Threading Enables Effective High-Level Synthesis.
CoRR
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
2024 J jnl
Wavefront Threading Enables Effective High-Level Synthesis.
Proc. ACM Program. Lang.
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
2023 — conf
Dynamic Stashing Quantization for Efficient Transformer Training.
EMNLP (Findings)
Guo Yang, Daniel Lo, Robert Mullins, Yiren Zhao
2023 J jnl
Dynamic Stashing Quantization for Efficient Transformer Training.
CoRR
Guo Yang, Daniel Lo, Robert Mullins, Yiren Zhao
2023 J jnl
PQC Cloudization: Rapid Prototyping of Scalable NTT/INTT Architecture to Accelerate Kyber.
IACR Cryptol. ePrint Arch.
Mojtaba Bisheh-Niasar, Daniel Lo, Anjana Parthasarathy, Blake Pelton, Bharat Pillilli, Bryan Kelly
2020 A* conf
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point.
NeurIPS
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
2019 J jnl
Inside Project Brainwave's Cloud-Scale, Real-Time AI Processor.
IEEE Micro
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
2018 A* conf
A Configurable Cloud-Scale DNN Processor for Real-Time AI.
ISCA
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
2018 J jnl
Serving DNNs in Real Time at Datacenter Scale with Project Brainwave.
IEEE Micro
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
2017 J jnl
Configurable Clouds.
IEEE Micro
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
2016 A* conf
A cloud-scale acceleration architecture.
MICRO
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
2016 A conf
Agile Co-Design for a Reconfigurable Datacenter.
FPGA
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
2016 A conf
Prediction-Guided Performance-Energy Trade-off with Continuous Run-Time Adaptation.
ISLPED
Taejoon Song, Daniel Lo, G. Edward Suh
2015 A* conf
Improving worst-case cache performance through selective bypassing and register-indexed cache.
DAC
Mohamed Ismail, Daniel Lo, G. Edward Suh
2015 A* conf
Prediction-guided performance-energy trade-off for interactive applications.
MICRO
Daniel Lo, Taejoon Song, G. Edward Suh
2015 A* conf
Run-time monitoring with adjustable overhead using dataflow-guided filtering.
HPCA
Daniel Lo, Tao Chen, Mohamed Ismail, G. Edward Suh
2014 A conf
Slack-aware opportunistic monitoring for real-time systems.
RTAS
Daniel Lo, Mohamed Ismail, Tao Chen, G. Edward Suh
2012 A* conf
Worst-case execution time analysis for parallel run-time monitoring.
DAC
Daniel Lo, G. Edward Suh
2011 B conf
FlexCache: Field Extensible Cache Controller Architecture Using On-chip Reconfigurable Fabric.
FPL
Daniel Lo, Greg Malysa, G. Edward Suh
2010 A* conf
Flexible and Efficient Instruction-Grained Run-Time Monitoring Using On-Chip Reconfigurable Fabric.
MICRO
Daniel Y. Deng, Daniel Lo, Greg Malysa, Skyler Schneider, G. Edward Suh
2010 A conf
Implementing dynamic information flow tracking on microprocessors with integrated FPGA fabric (abstract only).
FPGA
Skyler Schneider, Daniel Y. Deng, Daniel Lo, Greg Malysa, G. Edward Suh