Implementing dynamic information flow tracking on microprocessors with integrated FPGA fabric (abstract only). - Skyler Schneider; Daniel Y. Deng; Daniel Lo; Greg Malysa; G. Edward Suh (FPGA, 2010)

Flexible and Efficient Instruction-Grained Run-Time Monitoring Using On-Chip Reconfigurable Fabric. - Daniel Y. Deng; Daniel Lo; Greg Malysa; Skyler Schneider; G. Edward Suh (MICRO, 2010)

FlexCache: Field Extensible Cache Controller Architecture Using On-chip Reconfigurable Fabric. - Daniel Lo; Greg Malysa; G. Edward Suh (FPL, 2011)

Worst-case execution time analysis for parallel run-time monitoring. - Daniel Lo; G. Edward Suh (DAC, 2012)

Slack-aware opportunistic monitoring for real-time systems. - Daniel Lo; Mohamed Ismail; Tao Chen 045; G. Edward Suh (RTAS, 2014)

Improving worst-case cache performance through selective bypassing and register-indexed cache. - Mohamed Ismail; Daniel Lo; G. Edward Suh (DAC, 2015)

Run-time monitoring with adjustable overhead using dataflow-guided filtering. - Daniel Lo; Tao Chen 045; Mohamed Ismail; G. Edward Suh (HPCA, 2015)

Prediction-guided performance-energy trade-off for interactive applications. - Daniel Lo; Taejoon Song; G. Edward Suh (MICRO, 2015)

Agile Co-Design for a Reconfigurable Datacenter. - 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; et al. (FPGA, 2016)

Prediction-Guided Performance-Energy Trade-off with Continuous Run-Time Adaptation. - Taejoon Song; Daniel Lo; G. Edward Suh (ISLPED, 2016)

A cloud-scale acceleration architecture. - Adrian M. Caulfield; Eric S. Chung; Andrew Putnam; Hari Angepat; Jeremy Fowers; Michael Haselman; Stephen Heil; Matt Humphrey; Puneet Kaur; Joo-Young Kim 001; Daniel Lo; Todd Massengill; et al. (MICRO, 2016)

Configurable Clouds. - 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 001; Daniel Lo; et al. (IEEE Micro, 2017)

A Configurable Cloud-Scale DNN Processor for Real-Time AI. - Jeremy Fowers; Kalin Ovtcharov; Michael Papamichael; Todd Massengill; Ming Liu; Daniel Lo; Shlomi Alkalay; Michael Haselman; Logan Adams; Mahdi Ghandi; Stephen Heil; Prerak Patel; et al. (ISCA, 2018)

Serving DNNs in Real Time at Datacenter Scale with Project Brainwave. - 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; et al. (IEEE Micro, 2018)

Inside Project Brainwave's Cloud-Scale, Real-Time AI Processor. - 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; et al. (IEEE Micro, 2019)

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point. - 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; et al. (NeurIPS, 2020)

Dynamic Stashing Quantization for Efficient Transformer Training. - Guo Yang; Daniel Lo; Robert D. Mullins; Yiren Zhao (EMNLP (Findings), 2023)

PQC Cloudization: Rapid Prototyping of Scalable NTT/INTT Architecture to Accelerate Kyber. - Mojtaba Bisheh-Niasar; Daniel Lo; Anjana Parthasarathy; Blake Pelton; Bharat Pillilli; Bryan Kelly (IACR Cryptol. ePrint Arch., 2023)

Wavefront Threading Enables Effective High-Level Synthesis. - 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; et al. (Proc. ACM Program. Lang., 2024)