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- David Brooks 0001
aka: David M. Brooks
Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA - David J. Brooks
Imperial College London, Centre for Neuroscience, Department of Medicine, London, UK - David Brooks — disambiguation page
- David R. Brooks
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Publication search results
found 493 matches
- 2023
- Bernd Carsten Stahl
, Josephina Antoniou
, Nitika Bhalla, Laurence Brooks
, Philip Jansen, Blerta Lindqvist, Alexey Kirichenko, Samuel Marchal
, Rowena Rodrigues, Nicole Santiago
, Zuzanna Warso, David Wright:
A systematic review of artificial intelligence impact assessments. Artif. Intell. Rev. 56(11): 12799-12831 (2023) - Gabriele Tombesi
, Joseph Zuckerman, Paolo Mantovani
, Davide Giri
, Maico Cassel dos Santos
, Tianyu Jia
, David Brooks
, Gu-Yeon Wei, Luca P. Carloni
:
SoCProbe: Compositional Post-Silicon Validation of Heterogeneous NoC-Based SoCs. IEEE Des. Test 40(6): 64-75 (2023) - Jeffrey S. Vetter
, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul
, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar:
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. Int. J. High Perform. Comput. Appl. 37(3-4): 351-379 (2023) - Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Emma L. Slade, Anand Jeyaraj, Arpan Kumar Kar
, Abdullah M. Baabdullah, Alex Koohang, Vishnupriya Raghavan, Manju Ahuja, Hanaa Albanna, Mousa Ahmad Albashrawi, Adil S. Al-Busaidi, Janarthanan Balakrishnan, Yves Barlette, Sriparna Basu, Indranil Bose, Laurence D. Brooks
, Dimitrios Buhalis, Lemuria D. Carter, Soumyadeb Chowdhury, Tom Crick, Scott W. Cunningham
, Gareth H. Davies, Robert M. Davison, Rahul De', Denis Dennehy, Yanqing Duan, Rameshwar Dubey, Rohita Dwivedi, John S. Edwards, Carlos Flavián
, Robin Gauld, Varun Grover, Mei-Chih Hu, Marijn Janssen, Paul Jones, Iris A. Junglas, Sangeeta Khorana, Sascha Kraus, Kai R. Larsen, Paul Latreille, Sven Laumer, F. Tegwen Malik, Abbas Mardani
, Marcello Mariani, Sunil Mithas, Emmanuel Mogaji
, Jeretta Horn Nord, Siobhán O'Connor
, Fevzi Okumus, Margherita Pagani, Neeraj Pandey
, Savvas Papagiannidis, Ilias O. Pappas, Nishith Pathak, Jan Pries-Heje, Ramakrishnan Raman, Nripendra P. Rana, Sven-Volker Rehm
, Samuel Ribeiro-Navarrete, Alexander Richter, Frantz Rowe, Suprateek Sarker, Bernd Carsten Stahl, Manoj Kumar Tiwari, Wil van der Aalst, Viswanath Venkatesh, Giampaolo Viglia
, Michael Wade, Paul Walton, Jochen Wirtz
, Ryan T. Wright:
Opinion Paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. Int. J. Inf. Manag. 71: 102642 (2023) - Thierry Tambe
, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper
, Marco Donato
, Paul N. Whatmough
, Alexander M. Rush, David Brooks
, Gu-Yeon Wei:
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs. IEEE J. Solid State Circuits 58(2): 569-581 (2023) - Udit Gupta
, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
:
Architectural CO2 Footprint Tool: Designing Sustainable Computer Systems With an Architectural Carbon Modeling Tool. IEEE Micro 43(4): 107-117 (2023) - Fergal J. Martin
, M. Ridwan Amode, Alisha Aneja, Olanrewaju Austine-Orimoloye, Andrey G. Azov
, If Barnes, Arne Becker, Ruth Bennett
, Andrew E. Berry
, Jyothish Bhai
, Simarpreet Kaur Bhurji, Alexandra Bignell, Sanjay Boddu
, Paulo R. B. Lins, Lucy Brooks
, Shashank Budhanuru Ramaraju, Mehrnaz Charkhchi, Alexander Cockburn, Luca Da Rin Fioretto, Claire Davidson
, Kamalkumar Jayantilal Dodiya, Sarah M. Donaldson
, Bilal El Houdaigui
, Tamara El Naboulsi, Reham Fatima, Carlos García-Girón
, Thiago Genez, Gurpreet S. Ghattaoraya, Jose Gonzalez Martinez
, Cristi Guijarro, Matthew Hardy, Zoe Hollis
, Thibaut Hourlier
, Toby Hunt
, Mike P. Kay
, Vinay Kaykala, Tuan Le, Diana Lemos, Diego Marques-Coelho, José Carlos Marugán, Gabriela Alejandra Merino
, Louisse Paola Mirabueno
, Aleena Mushtaq, Syed Nakib Hossain
, Denye N. Ogeh, Manoj Pandian Sakthivel, Anne Parker, Malcolm Perry, Ivana Pilizota
, Irina Prosovetskaia, José G. Pérez-Silva
, Ahamed Imran Abdul Salam
, Nuno Saraiva-Agostinho, Helen Schuilenburg, Dan Sheppard, Swati Sinha, Botond Sipos
, William Stark, Emily Steed, Ranjit Sukumaran, Dulika Sumathipala, Marie-Marthe Suner
, Likhitha Surapaneni
, Kyösti Sutinen, Michal Szpak, Francesca Floriana Tricomi
, David Urbina-Gómez
, Andres Veidenberg
, Thomas A. Walsh
, Brandon Walts, Elizabeth Wass
, Natalie L. Willhoft
, Jamie Allen
, Jorge Álvarez-Jarreta, Marc Chakiachvili
, Bethany Flint, Stefano Giorgetti, Leanne Haggerty
, Garth R Ilsley, Jane E. Loveland
, Benjamin Moore
, Jonathan M. Mudge, John G. Tate, David Thybert, Stephen J. Trevanion
, Andrea Winterbottom, Adam Frankish
, Sarah E. Hunt
, Magali Ruffier, Fiona Cunningham
, Sarah Dyer
, Robert D. Finn
, Kevin L. Howe, Peter W. Harrison
, Andrew D. Yates
, Paul Flicek
:
Ensembl 2023. Nucleic Acids Res. 51(D1): 933-941 (2023) - Iulian Brumar
, Georgios Zacharopoulos
, Yuan Yao
, Saketh Rama
, David Brooks
, Gu-Yeon Wei
:
Early DSE and Automatic Generation of Coarse-grained Merged Accelerators. ACM Trans. Embed. Comput. Syst. 22(2): 32:1-32:29 (2023) - Georgios Zacharopoulos
, Adel Ejjeh
, Ying Jing
, En-Yu Yang
, Tianyu Jia
, Iulian Brumar
, Jeremy Intan
, Muhammad Huzaifa
, Sarita V. Adve
, Vikram S. Adve
, Gu-Yeon Wei
, David Brooks
:
Trireme: Exploration of Hierarchical Multi-level Parallelism for Hardware Acceleration. ACM Trans. Embed. Comput. Syst. 22(3): 53:1-53:23 (2023) - Siming Ma
, David Brooks, Gu-Yeon Wei:
A Binary-Activation, Multi-Level Weight RNN and Training Algorithm for ADC-/DAC-Free and Noise-Resilient Processing-in-Memory Inference With eNVM. IEEE Trans. Emerg. Top. Comput. 11(2): 292-302 (2023) - Bilge Acun, Benjamin Lee, Fiodar Kazhamiaka, Kiwan Maeng, Udit Gupta
, Manoj Chakkaravarthy, David Brooks, Carole-Jean Wu:
Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters. ASPLOS (2) 2023: 118-132 - Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu:
MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation. ASPLOS (3) 2023: 449-465 - Hyeyoung Ryu
, Andrew B. L. Berry
, Catherine Y. Lim
, Andrea L. Hartzler
, Tad Hirsch
, Juanita I Trejo
, Zoë Abigail Bermet
, Brandi Crawford-Gallagher
, Vi Tran
, Dawn M. Ferguson
, David J. Cronkite
, Brooks Tiffany
, John Weeks
, James D. Ralston
:
"You Can See the Connections": Facilitating Visualization of Care Priorities in People Living with Multiple Chronic Health Conditions. CHI 2023: 473:1-473:17 - Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi:
MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. DATE 2023: 1-6 - Mariam Elgamal
, Doug Carmean
, Elnaz Ansari
, Okay Zed
, Ramesh Peri
, Srilatha Manne
, Udit Gupta
, Gu-Yeon Wei
, David Brooks
, Gage Hills
, Carole-Jean Wu
:
Carbon-Efficient Design Optimization for Computing Systems. HotCarbon 2023: 16:1-16:7 - Alexander Hankin, Abdulrahman Mahmoud, Mark Hempstead, David Brooks, Gu-Yeon Wei:
VelociTI: An Architecture-level Performance Modeling Framework for Trapped Ion Quantum Computers. IISWC 2023: 206-210 - Matthew Joseph Adiletta, Jesmin Jahan Tithi, Emmanouil-Ioannis Farsarakis, Gerasimos Gerogiannis, Robert Adolf, Robert Benke, Sidharth Kashyap, Samuel Hsia, Kartik Lakhotia, Fabrizio Petrini, Gu-Yeon Wei, David Brooks:
Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA. ISPASS 2023: 168-177 - Alexander Hankin, Lillian Pentecost, Dongmoon Min, David Brooks, Gu-Yeon Wei:
Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory. ISPASS 2023: 134-144 - Thierry Tambe, Jeff Zhang, Coleman Hooper, Tianyu Jia, Paul N. Whatmough, Joseph Zuckerman, Maico Cassel dos Santos, Erik Jens Loscalzo, Davide Giri, Kenneth L. Shepard, Luca P. Carloni, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management. ISSCC 2023: 342-343 - Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh:
GPU-based Private Information Retrieval for On-Device Machine Learning Inference. CoRR abs/2301.10904 (2023) - Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough:
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. CoRR abs/2301.10999 (2023) - Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu:
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation. CoRR abs/2302.10872 (2023) - Young Geun Kim, Udit Gupta, Andrew McCrabb, Yonglak Son, Valeria Bertacco, David Brooks, Carole-Jean Wu:
GreenScale: Carbon-Aware Systems for Edge Computing. CoRR abs/2304.00404 (2023) - Mariam Elgamal, Doug Carmean, Elnaz Ansari, Okay Zed, Ramesh Peri, Srilatha Manne, Udit Gupta, Gu-Yeon Wei, David Brooks, Gage Hills, Carole-Jean Wu:
Design Space Exploration and Optimization for Carbon-Efficient Extended Reality Systems. CoRR abs/2305.01831 (2023) - Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks:
CAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning. CoRR abs/2305.03148 (2023) - Mingtian Zhang, Alex Hawkins-Hooker, Brooks Paige, David Barber:
Moment Matching Denoising Gibbs Sampling. CoRR abs/2305.11650 (2023) - Yunho Jin, Chun-Feng Wu, David Brooks, Gu-Yeon Wei:
S3: Increasing GPU Utilization during Generative Inference for Higher Throughput. CoRR abs/2306.06000 (2023) - Yuji Chai, John Gkountouras, Glenn G. Ko, David Brooks, Gu-Yeon Wei:
INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation. CoRR abs/2306.08162 (2023) - Mehdi Rezaie, Ashley J. Ross, Hee-Jong Seo
, Hui Kong, Anna Porredon, Lado Samushia, Edmond Chaussidon, Alex Krolewski, Arnaud de Mattia, Florian Beutler, Jessica Nicole Aguilar, Steven Ahlen, Shadab Alam, Santiago Ávila, Benedict Bahr-Kalus
, Jose Bermejo-Climent, David D. Brooks, Todd Claybaugh, Shaun Cole, Kyle Dawson, Axel de la Macorra, Peter Doel, Andreu Font-Ribera, Jaime E. Forero-Romero, Satya Gontcho A Gontcho
, Julien Guy, Klaus Honscheid, Theodore Kisner, Martin Landriau, Michael Levi, Marc Manera, Aaron Meisner, Ramon Miquel, Eva-Maria Mueller, Adam Myers, Jeffrey A. Newman, Jundan Nie, Nathalie Palanque-Delabrouille, Will J. Percival, Claire Poppett, Graziano Rossi, Eusebio Sánchez, Michael S. Schubnell, Gregory G. Tarlé, Benjamin Alan Weaver, Christophe Yèche, Zhimin Zhou, Hu Zou:
Local primordial non-Gaussianity from the large-scale clustering of photometric DESI luminous red galaxies. CoRR abs/2307.01753 (2023) - Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush:
Guess & Sketch: Language Model Guided Transpilation. CoRR abs/2309.14396 (2023)
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