David Brooks

18.2k total citations · 7 hit papers
227 papers, 11.9k citations indexed

About

David Brooks is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, David Brooks has authored 227 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Electrical and Electronic Engineering, 139 papers in Hardware and Architecture and 73 papers in Computer Networks and Communications. Recurrent topics in David Brooks's work include Parallel Computing and Optimization Techniques (128 papers), Low-power high-performance VLSI design (82 papers) and Embedded Systems Design Techniques (47 papers). David Brooks is often cited by papers focused on Parallel Computing and Optimization Techniques (128 papers), Low-power high-performance VLSI design (82 papers) and Embedded Systems Design Techniques (47 papers). David Brooks collaborates with scholars based in United States, United Kingdom and Israel. David Brooks's co-authors include Margaret Martonosi, Gu-Yeon Wei, Vivek Tiwari, Vivek Tiwari, Benjamin C. Lee, Wonyoung Kim, Meeta S. Gupta, Brandon Reagen, Yakun Sophia Shao and Pradip Bose and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Power Electronics and IEEE Journal of Solid-State Circuits.

In The Last Decade

David Brooks

222 papers receiving 11.4k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Wattch

2000 1.9k citations David Brooks, Margaret Martonosi et al. profile →
Wattch: a framework for architectural-level power analysis and optimizations

2002 930 citations David Brooks, Margaret Martonosi et al. profile →
Dynamic thermal management for high-performance microprocessors

2002 660 citations David Brooks, Margaret Martonosi profile →
System level analysis of fast, per-core DVFS using on-chip switching regulators

2008 556 citations Meeta S. Gupta, Gu-Yeon Wei et al. profile →
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective

2018 338 citations David Brooks et al. profile →
Accurate and efficient regression modeling for microarchitectural performance and power prediction

2006 314 citations Benjamin C. Lee, David Brooks profile →
Profiling a warehouse-scale computer

2015 270 citations Svilen Kanev, Gu-Yeon Wei et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Brooks United States	52	7.7k	6.9k	5.3k	1.6k	1.1k	227	11.9k
Doug Burger United States	56	12.7k 1.6×	7.2k 1.0×	10.6k 2.0×	1.6k 1.0×	1.2k 1.2×	168	16.1k
Mahmut Kandemir United States	54	9.9k 1.3×	5.0k 0.7×	9.8k 1.8×	2.8k 1.7×	905 0.8×	782	14.0k
Gu-Yeon Wei United States	49	3.3k 0.4×	4.9k 0.7×	2.7k 0.5×	813 0.5×	920 0.9×	228	8.1k
Farinaz Koushanfar United States	46	6.0k 0.8×	6.6k 1.0×	3.1k 0.6×	717 0.4×	3.2k 3.0×	254	11.5k
Jörg Henkel Germany	42	5.2k 0.7×	4.9k 0.7×	3.7k 0.7×	405 0.3×	739 0.7×	546	9.1k
Miodrag Potkonjak United States	53	6.7k 0.9×	6.7k 1.0×	5.7k 1.1×	527 0.3×	1.6k 1.5×	419	12.9k
Massoud Pedram United States	64	7.6k 1.0×	14.0k 2.0×	5.0k 0.9×	1.9k 1.2×	1.5k 1.4×	887	19.7k
Anand Raghunathan United States	61	6.1k 0.8×	8.4k 1.2×	4.5k 0.8×	1.3k 0.8×	2.4k 2.2×	400	14.0k
Vijay Janapa Reddi United States	32	4.9k 0.6×	2.5k 0.4×	4.7k 0.9×	1.7k 1.1×	1.6k 1.5×	147	7.9k
Francky Catthoor Belgium	46	5.5k 0.7×	5.5k 0.8×	4.9k 0.9×	210 0.1×	1.0k 1.0×	892	11.3k

Countries citing papers authored by David Brooks

Since Specialization

Citations

This map shows the geographic impact of David Brooks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Brooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Brooks more than expected).

Fields of papers citing papers by David Brooks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Brooks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Brooks. The network helps show where David Brooks may publish in the future.

Co-authorship network of co-authors of David Brooks

This figure shows the co-authorship network connecting the top 25 collaborators of David Brooks. A scholar is included among the top collaborators of David Brooks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Brooks. David Brooks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Acun, Bilge, Newsha Ardalani, Zachary DeVito, et al.. (2024). MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems. 818–833. 2 indexed citations

Carmean, Doug, Ramesh Peri, Srilatha Manne, et al.. (2023). Carbon-Efficient Design Optimization for Computing Systems. 1–7. 11 indexed citations

Rama, Saketh, et al.. (2022). Early DSE and Automatic Generation of Coarse-grained Merged Accelerators. ACM Transactions on Embedded Computing Systems. 22(2). 1–29. 5 indexed citations

Tambe, Thierry, En-Yu Yang, Coleman Hooper, et al.. (2022). A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs. IEEE Journal of Solid-State Circuits. 58(2). 569–581. 12 indexed citations

Lee, Sae Kyu, et al.. (2021). SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators. IEEE Journal of Solid-State Circuits. 57(2). 639–650. 13 indexed citations

Brooks, David, et al.. (2019). A binary-activation, multi-level weight RNN and training algorithm for processing-in-memory inference with eNVM. arXiv (Cornell University). 1 indexed citations

Whatmough, Paul N., Sae Kyu Lee, David Brooks, & Gu-Yeon Wei. (2018). DNN Engine: A 28-nm Timing-Error Tolerant Sparse Deep Neural Network Processor for IoT Applications. IEEE Journal of Solid-State Circuits. 53(9). 2722–2731. 69 indexed citations

Lee, Sae Kyu, et al.. (2016). A 16-Core Voltage-Stacked System With Adaptive Clocking and an Integrated Switched-Capacitor DC–DC Converter. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 25(4). 1271–1284. 18 indexed citations

Shao, Yakun Sophia, Sam Likun Xi, Vijayalakshmi Srinivasan, Gu-Yeon Wei, & David Brooks. (2016). Co-designing accelerators and SoC interfaces using gem5-Aladdin. 1–12. 71 indexed citations

10.

Shao, Yakun Sophia, Brandon Reagen, Gu-Yeon Wei, & David Brooks. (2014). Aladdin: A pre-RTL, power-performance accelerator simulator enabling large design space exploration of customized architectures. 97–108. 89 indexed citations

11.

Reagen, Brandon, Yakun Sophia Shao, Gu-Yeon Wei, & David Brooks. (2013). Quantifying acceleration: power/performance trade-offs of application kernels in hardware. 395–400. 7 indexed citations

12.

Zhang, Xuan, et al.. (2013). Characterizing and evaluating voltage noise in multi-core near-threshold processors. 82–87. 20 indexed citations

13.

Rangan, Krishna K., Michael D. Powell, Gu-Yeon Wei, & David Brooks. (2011). Achieving uniform performance and maximizing throughput in the presence of heterogeneity. 3–14. 27 indexed citations

14.

Gupta, Meeta S., Vijay Janapa Reddi, Glenn Holloway, Gu-Yeon Wei, & David Brooks. (2009). An event-guided approach to reducing voltage noise in processors. Design, Automation, and Test in Europe. 160–165. 29 indexed citations

15.

Liang, Xiaoyao, Ramón Canal, Gu-Yeon Wei, & David Brooks. (2008). R 6T SRAM 3T1D DRAM L1 D C C P V. UPCommons institutional repository (Universitat Politècnica de Catalunya). 28(1). 60–68. 24 indexed citations

16.

Lee, Benjamin C., David Brooks, Bronis R. de Supinski, et al.. (2007). Methods of inference and learning for performance modeling of parallel applications. 249–258. 146 indexed citations

17.

Lee, Benjamin C. & David Brooks. (2006). Accurate and efficient regression modeling for microarchitectural performance and power prediction. 185–194. 314 indexed citations breakdown →

18.

Bose, Pradip, David Brooks, Alper Buyuktosunoglu, et al.. (2002). Early-Stage Definition of LPX: a Low Power Issue-Execute Processor. 1 indexed citations

19.

Brooks, David, et al.. (2001). Power-performance modeling and tradeoff analysis for a high end microprocessor. Lecture notes in computer science. 126–136. 13 indexed citations

20.

Buyuktosunoglu, Alper, S.E. Schuster, David Brooks, et al.. (2000). An Adaptive Issue Queue for Reduced Power at High Performance. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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