Harvard Architecture, Circuits and Compilers
Harvard Architecture, Circuits, and Compilers Group
Research on deep learning, infrastructures for heterogeneous systems, hardware specialization, and efficient power delivery
Welcome to the Harvard Architecture, Circuits, and Compilers Group!
Our research focuses on computer architectures and systems that overcome fundamental limitations we now face due to the end of Moore’s Law at all layers of the hardware-software stack. Topics of active research include deep learning, research infrastructures for heterogeneous systems, hardware specialization, and efficient power delivery.
Please explore our website to learn more about our projects and the people behind them.
Recent Publications
2023
Matthew Adiletta, Jesmin Tithi, Emmanouil-Ioannis Farsarakis, Gerasimos Gerogiannis, Robert Adolf, Robert Benke, Sidharth Kashyap, Samuel Hsia, Kartik Lakhotia, Fabrizio Petrini, Gu-Yeon Wei, and David Brooks. 2023. “Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA”. In IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). Raleigh, North Carolina
Matthew Adiletta, Jesmin Tithi, Emmanouil-Ioannis Farsarakis, Gerasimos Gerogiannis, Robert Adolf, Robert Benke, Sidharth Kashyap, Samuel Hsia, Kartik Lakhotia, Fabrizio Petrini, Gu-Yeon Wei, and David Brooks. 2023. “Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA”. In IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). Raleigh, North Carolina
Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, and Carole-Jean Wu. 2023. “MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation”. In ASPLOS. Vancouver, Canada
Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, and Carole-Jean Wu. 2023. “MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation”. In ASPLOS. Vancouver, Canada
Recent News
RecSSD accepted to ASLPOS 2021!
“RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference” has been accepted for presentation at the ASPLOS’21 conference. Congratulations to Mark and the other contributing authors!
"Chasing Carbon" accepted to HPCA 2021!
Our recent work with Facebook AI, "Chasing Carbon: The Elusive Environmental Footprint of Computing," has been accepted to HPCA 2021 industry track. Congrats to all!