Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic ScholarDavid Brooks 0001
David M. Brooks
Person information
- affiliation: Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA
Other persons with the same name
- David Brooks — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[c113]David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin:
Emerging Neural Workloads and Their Impact on Hardware. DATE 2020: 1462-1471- [c112]Udit Gupta, Carole-Jean Wu, Xiaodong Wang, Maxim Naumov, Brandon Reagen, David Brooks, Bradford Cottel, Kim M. Hazelwood, Mark Hempstead, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang
:
The Architectural Implications of Facebook's DNN-Based Personalized Recommendation. HPCA 2020: 488-501 - [c111]Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia:
MLPerf Training Benchmark. MLSys 2020 - [c110]Yu Wang, Gu-Yeon Wei, David Brooks:
A Systematic Methodology for Analysis of Deep Learning Hardware and Software Platforms. MLSys 2020 - [i14]Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu:
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference. CoRR abs/2001.02772 (2020) - [i13]Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei:
CHIPKIT: An agile, reusable open-source framework for rapid test chip development. CoRR abs/2001.04504 (2020) - [i12]Brandon Reagen, Wooseok Choi, Yeongil Ko, Vincent Lee, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks:
Cheetah: Optimizations and Methods for PrivacyPreserving Inference via Homomorphic Encryption. CoRR abs/2006.00505 (2020)
2010 – 2019
- 2019
- [j45]Kshitij Bhardwaj, Marton Havasi, Yuan Yao, David M. Brooks, José Miguel Hernández-Lobato, Gu-Yeon Wei:
Determining Optimal Coherency Interface for Many-Accelerator SoCs Using Bayesian Optimization. IEEE Comput. Archit. Lett. 18(2): 119-123 (2019) - [j44]Sae Kyu Lee, Paul N. Whatmough, David Brooks, Gu-Yeon Wei:
A 16-nm Always-On DNN Processor With Adaptive Clocking and Multi-Cycle Banked SRAMs. J. Solid-State Circuits 54(7): 1982-1992 (2019) - [j43]Marco Donato, Lillian Pentecost, David Brooks, Gu-Yeon Wei:
MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge. IEEE Micro 39(6): 73-81 (2019) - [j42]Yu Wang, Victor Lee, Gu-Yeon Wei, David M. Brooks:
Predicting New Workload or CPU Performance by Analyzing Public Datasets. TACO 15(4): 53:1-53:21 (2019) - [c109]Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, David Brooks:
MASR: A Modular Accelerator for Sparse RNNs. PACT 2019: 1-14 - [c108]Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei:
FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs. FCCM 2019: 334 - [c107]Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei:
Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling. FPL 2019: 159-165 - [c106]Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim M. Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang:
Machine Learning at Facebook: Understanding Inference at the Edge. HPCA 2019: 331-344 - [c105]Brian Plancher, Camelia D. Brumar, Iulian Brumar, Lillian Pentecost, Saketh Rama, David Brooks:
Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM. HPEC 2019: 1-7 - [c104]Yu Emma Wang, Yuhao Zhu, Glenn G. Ko, Brandon Reagen, Gu-Yeon Wei, David Brooks:
Demystifying Bayesian Inference Workloads. ISPASS 2019: 177-189 - [c103]Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks:
MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation. MICRO 2019: 769-781 - [c102]Paul N. Whatmough, Sae Kyu Lee, Marco Donato, Hsea-Ching Hsueh, Sam Likun Xi, Udit Gupta, Lillian Pentecost, Glenn G. Ko, David M. Brooks, Gu-Yeon Wei:
A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators. VLSI Circuits 2019: 34- - [i11]Udit Gupta, Xiaodong Wang, Maxim Naumov, Carole-Jean Wu, Brandon Reagen, David Brooks, Bradford Cottel, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang:
The Architectural Implications of Facebook's DNN-based Personalized Recommendation. CoRR abs/1906.03109 (2019) - [i10]Yu Wang, Gu-Yeon Wei, David Brooks:
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning. CoRR abs/1907.10701 (2019) - [i9]Yu Emma Wang, Carole-Jean Wu, Xiaodong Wang, Kim M. Hazelwood, David Brooks:
Exploiting Parallelism Opportunities with Deep Learning Frameworks. CoRR abs/1908.04705 (2019) - [i8]Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference. CoRR abs/1909.13271 (2019) - [i7]Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia:
MLPerf Training Benchmark. CoRR abs/1910.01500 (2019) - [i6]Siming Ma, David Brooks, Gu-Yeon Wei:
A binary-activation, multi-level weight RNN and training algorithm for processing-in-memory inference with eNVM. CoRR abs/1912.00106 (2019) - [i5]Sam Likun Xi, Yuan Yao, Kshitij Bhardwaj, Paul N. Whatmough, Gu-Yeon Wei, David Brooks:
SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads. CoRR abs/1912.04481 (2019) - [i4]Liu Ke, Udit Gupta, Carole-Jean Wu, Benjamin Youngjae Cho, Mark Hempstead, Brandon Reagen, Xuan Zhang, David M. Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang:
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. CoRR abs/1912.12953 (2019) - 2018
- [j41]Paul N. Whatmough, Sae Kyu Lee, David M. Brooks, Gu-Yeon Wei:
DNN Engine: A 28-nm Timing-Error Tolerant Sparse Deep Neural Network Processor for IoT Applications. J. Solid-State Circuits 53(9): 2722-2731 (2018) - [j40]Rafael Garibotti, Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks:
Assisting High-Level Synthesis Improve SpMV Benchmark Through Dynamic Dependence Analysis. IEEE Trans. Circuits Syst. II Express Briefs 65-II(10): 1440-1444 (2018) - [j39]Simon Chaput, David M. Brooks, Gu-Yeon Wei:
An Area-Efficient 8-Bit Single-Ended ADC With Extended Input Voltage Range. IEEE Trans. Circuits Syst. II Express Briefs 65-II(11): 1549-1553 (2018) - [c101]Brandon Reagen, Udit Gupta, Lillian Pentecost, Paul N. Whatmough, Sae Kyu Lee, Niamh Mulholland, David M. Brooks, Gu-Yeon Wei:
Ares: a framework for quantifying the resilience of deep neural networks. DAC 2018: 17:1-17:6 - [c100]Marco Donato, Brandon Reagen, Lillian Pentecost, Udit Gupta, David Brooks, Gu-Yeon Wei:
On-chip deep neural network storage with multi-level eNVM. DAC 2018: 169:1-169:6 - [c99]Sae Kyu Lee, Paul N. Whatmough, Niamh Mulholland, Patrick Hansen, David Brooks, Gu-Yeon Wei:
A Wide Dynamic Range Sparse FC-DNN Processor with Multi-Cycle Banked SRAM Read and Adaptive Clocking in 16nm FinFET. ESSCIRC 2018: 158-161 - [c98]Kim M. Hazelwood, Sarah Bird, David M. Brooks, Soumith Chintala, Utku Diril, Dmytro Dzhulgakov, Mohamed Fawzy, Bill Jia, Yangqing Jia, Aditya Kalro, James Law, Kevin Lee, Jason Lu, Pieter Noordhuis, Misha Smelyanskiy, Liang Xiong, Xiaodong Wang:
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective. HPCA 2018: 620-629 - [c97]Brandon Reagen, Udit Gupta, Robert Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks:
Weightless: Lossy weight encoding for deep neural network compression. ICLR (Workshop) 2018 - [c96]Brandon Reagen, Udit Gupta, Bob Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks:
Weightless: Lossy weight encoding for deep neural network compression. ICML 2018: 4321-4330 - [c95]David M. Brooks:
Co-designed systems for deep learning hardware accelerators. VLSI-DAT 2018: 1 - [i3]Yuhao Zhu, Gu-Yeon Wei, David M. Brooks:
Cloud No Longer a Silver Bullet, Edge to the Rescue. CoRR abs/1802.05943 (2018) - 2017
- [b2]Brandon Reagen, Robert Adolf, Paul N. Whatmough, Gu-Yeon Wei, David M. Brooks:
Deep Learning for Computer Architects. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2017 - [j38]Simone Campanoni, Kevin Brownell, Svilen Kanev, Timothy M. Jones, Gu-Yeon Wei, David M. Brooks:
Automatically accelerating non-numerical programs by architecture-compiler co-design. Commun. ACM 60(12): 88-97 (2017) - [j37]Xin Zhan, Reza Azimi, Svilen Kanev, David M. Brooks, Sherief Reda:
CARB: A C-State Power Management Arbiter for Latency-Critical Workloads. IEEE Comput. Archit. Lett. 16(1): 6-9 (2017) - [j36]Xuan Zhang, Mario Lok, Tao Tong, Sae Kyu Lee, Brandon Reagen, Simon Chaput, Pierre-Emile J. Duhamel, Robert J. Wood, David M. Brooks, Gu-Yeon Wei:
A Fully Integrated Battery-Powered System-on-Chip in 40-nm CMOS for Closed-Loop Control of Insect-Scale Pico-Aerial Vehicle. J. Solid-State Circuits 52(9): 2374-2387 (2017) - [j35]Yuhao Zhu, Vijay Janapa Reddi, Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks:
Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads. IEEE Micro 37(1): 15-21 (2017) - [j34]David Brooks, John Sartori:
Ultra-Low-Power Processors. IEEE Micro 37(6): 16-19 (2017) - [j33]David Brooks:
2017 International Symposium on Computer Architecture Influential Paper Award. IEEE Micro 37(6): 90-91 (2017) - [j32]Sae Kyu Lee, Tao Tong, Xuan Zhang, David M. Brooks, Gu-Yeon Wei:
A 16-Core Voltage-Stacked System With Adaptive Clocking and an Integrated Switched-Capacitor DC-DC Converter. IEEE Trans. Very Large Scale Integr. Syst. 25(4): 1271-1284 (2017) - [c94]Paul N. Whatmough, Sae Kyu Lee, Gu-Yeon Wei, David M. Brooks:
Sub-uJ deep neural networks for embedded applications. ACSSC 2017: 1912-1915 - [c93]Svilen Kanev, Sam Likun Xi, Gu-Yeon Wei, David M. Brooks:
Mallacc: Accelerating Memory Allocation. ASPLOS 2017: 33-45 - [c92]An Zou, Jingwen Leng, Yazhou Zu, Tao Tong, Vijay Janapa Reddi, David M. Brooks, Gu-Yeon Wei, Xuan Zhang:
Ivory: Early-Stage Design Space Exploration Tool for Integrated Voltage Regulators. DAC 2017: 1:1-1:6 - [c91]Sreela Kodali, Patrick Hansen, Niamh Mulholland, Paul N. Whatmough, David M. Brooks, Gu-Yeon Wei:
Applications of Deep Neural Networks for Ultra Low Power IoT. ICCD 2017: 589-592 - [c90]Ramon Bertran, Pradip Bose, David M. Brooks, Jeff Burns, Alper Buyuktosunoglu, Nandhini Chandramoorthy, Eric Cheng, Martin Cochet, Schuyler Eldridge, Daniel Friedman, Hans M. Jacobson, Rajiv V. Joshi, Subhasish Mitra, Robert K. Montoye, Arun Paidimarri, Pritish Parida, Kevin Skadron, Mircea Stan, Karthik Swaminathan, Augusto Vega, Swagath Venkataramani, Christos Vezyrtzis, Gu-Yeon Wei, John-David Wellman, Matthew M. Ziegler:
Very Low Voltage (VLV) Design. ICCD 2017: 601-604 - [c89]Rafael Garibotti, Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks:
Using dynamic dependence analysis to improve the quality of high-level synthesis designs. ISCAS 2017: 1-4 - [c88]Brandon Reagen, José Miguel Hernández-Lobato, Robert Adolf, Michael A. Gelbart, Paul N. Whatmough, Gu-Yeon Wei, David M. Brooks:
A case for efficient accelerator design space exploration via Bayesian optimization. ISLPED 2017: 1-6 - [c87]Paul N. Whatmough, Sae Kyu Lee, Hyunkwang Lee, Saketh Rama, David M. Brooks, Gu-Yeon Wei:
14.3 A 28nm SoC with a 1.2GHz 568nJ/prediction sparse deep-neural-network engine with >0.1 timing error rate tolerance for IoT applications. ISSCC 2017: 242-243 - [c86]Simon Chaput, David M. Brooks, Gu-Yeon Wei:
21.5 A 3-to-5V input 100Vpp output 57.7mW 0.42% THD+N highly integrated piezoelectric actuator driver. ISSCC 2017: 360-361 - [c85]Brandon Reagen, Yakun Sophia Shao, Sam Likun Xi, Gu-Yeon Wei, David Brooks:
Methods and infrastructure in the era of accelerator-centric architectures. MWSCAS 2017: 902-905 - [i2]Brandon Reagen, Udit Gupta, Robert Adolf, Michael M. Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David M. Brooks:
Weightless: Lossy Weight Encoding For Deep Neural Network Compression. CoRR abs/1711.04686 (2017) - 2016
- [j31]Tao Tong, Sae Kyu Lee, Xuan Zhang, David M. Brooks, Gu-Yeon Wei:
A Fully Integrated Reconfigurable Switched-Capacitor DC-DC Converter With Four Stacked Output Channels for Voltage Stacking Applications. J. Solid-State Circuits 51(9): 2142-2152 (2016) - [j30]Svilen Kanev, Juan Pablo Darago, Kim M. Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David M. Brooks:
Profiling a Warehouse-Scale Computer. IEEE Micro 36(3): 54-59 (2016) - [c84]Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks:
Fathom: reference workloads for modern deep learning methods. IISWC 2016: 148-157 - [c83]Brandon Reagen, Paul N. Whatmough, Robert Adolf, Saketh Rama, Hyunkwang Lee, Sae Kyu Lee, José Miguel Hernández-Lobato, Gu-Yeon Wei, David M. Brooks:
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators. ISCA 2016: 267-278 - [c82]Yakun Sophia Shao, Sam Likun Xi, Vijayalakshmi Srinivasan, Gu-Yeon Wei, David M. Brooks:
Co-designing accelerators and SoC interfaces using gem5-Aladdin. MICRO 2016: 48:1-48:12 - [i1]Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks:
Fathom: Reference Workloads for Modern Deep Learning Methods. CoRR abs/1608.06581 (2016) - 2015
- [b1]Yakun Sophia Shao, David M. Brooks:
Research Infrastructures for Hardware Accelerators. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2015 - [j29]Yakun Sophia Shao, Brandon Reagen, Gu-Yeon Wei, David M. Brooks:
The Aladdin Approach to Accelerator Design and Modeling. IEEE Micro 35(3): 58-70 (2015) - [c81]Simone Campanoni, Glenn H. Holloway, Gu-Yeon Wei, David M. Brooks:
HELIX-UP: relaxing program semantics to unleash parallelization. CGO 2015: 235-245 - [c80]Mario Lok, Xuan Zhang, Elizabeth Farrell Helbling, Robert J. Wood, David M. Brooks, Gu-Yeon Wei:
A power electronics unit to drive piezoelectric actuators for flying microrobots. CICC 2015: 1-4 - [c79]Sam Likun Xi, Hans M. Jacobson, Pradip Bose, Gu-Yeon Wei, David M. Brooks:
Quantifying sources of error in McPAT and potential impacts on architectural studies. HPCA 2015: 577-589 - [c78]Svilen Kanev, Juan Pablo Darago, Kim M. Hazelwood, Parthasarathy Ranganathan, Tipp Moseley, Gu-Yeon Wei, David M. Brooks:
Profiling a warehouse-scale computer. ISCA 2015: 158-169 - [c77]David M. Brooks:
Addressing the computing technology-capability gap: The coming Golden Age of design. NAS 2015: 233 - [c76]David M. Brooks:
Circuit and system design for robotic flying vehicles. VLSI-DAT 2015: 1 - [c75]Xuan Zhang, Mario Lok, Tao Tong, Simon Chaput, Sae Kyu Lee, Brandon Reagen, Hyunkwang Lee, David M. Brooks, Gu-Yeon Wei:
A multi-chip system optimized for insect-scale flapping-wing robots. VLSIC 2015: 152- - [c74]Sae Kyu Lee, Tao Tong, Xuan Zhang, David M. Brooks, Gu-Yeon Wei:
A 16-core voltage-stacked system with an integrated switched-capacitor DC-DC converter. VLSIC 2015: 318- - 2014
- [j28]Xuan Zhang, Tao Tong, David M. Brooks, Gu-Yeon Wei:
Evaluating Adaptive Clocking for Supply-Noise Resilience in Battery-Powered Aerial Microrobotic System-on-Chip. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(8): 2309-2317 (2014) - [c73]Michael J. Lyons, Gu-Yeon Wei, David M. Brooks:
Multi-accelerator system development with the ShrinkFit acceleration framework. ICCD 2014: 75-82 - [c72]Svilen Kanev, Kim M. Hazelwood, Gu-Yeon Wei, David M. Brooks:
Tradeoffs between power management and tail latency in warehouse-scale applications. IISWC 2014: 31-40 - [c71]Brandon Reagen, Robert Adolf, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks:
MachSuite: Benchmarks for accelerator design and customized architectures. IISWC 2014: 110-119 - [c70]Yakun Sophia Shao, Brandon Reagen, Gu-Yeon Wei, David M. Brooks:
Aladdin: A pre-RTL, power-performance accelerator simulator enabling large design space exploration of customized architectures. ISCA 2014: 97-108 - [c69]Simone Campanoni, Kevin Brownell, Svilen Kanev, Timothy M. Jones, Gu-Yeon Wei, David M. Brooks:
HELIX-RC: An architecture-compiler co-design for automatic parallelization of irregular programs. ISCA 2014: 217-228 - 2013
- [j27]Michael J. Lyons, Gu-Yeon Wei, David M. Brooks:
Shrink-Fit: A Framework for Flexible Accelerator Sizing. IEEE Comput. Archit. Lett. 12(1): 17-20 (2013) - [c68]Tao Tong, Xuan Zhang, Wonyoung Kim, David M. Brooks, Gu-Yeon Wei:
A fully integrated battery-connected switched-capacitor 4: 1 voltage regulator with 70% peak efficiency using bottom-plate charge recycling. CICC 2013: 1-4 - [c67]Xuan Zhang, Tao Tong, David M. Brooks, Gu-Yeon Wei:
Supply-noise resilient adaptive clocking for battery-powered aerial microrobotic System-on-Chip in 40nm CMOS. CICC 2013: 1-4 - [c66]Xuan Zhang, Tao Tong, Svilen Kanev, Sae Kyu Lee, Gu-Yeon Wei, David M. Brooks:
Characterizing and evaluating voltage noise in multi-core near-threshold processors. ISLPED 2013: 82-87 - [c65]Yakun Sophia Shao, David M. Brooks:
Energy characterization and instruction-level energy model of Intel's Xeon Phi processor. ISLPED 2013: 389-394 - [c64]Brandon Reagen, Yakun Sophia Shao, Gu-Yeon Wei, David M. Brooks:
Quantifying acceleration: Power/performance trade-offs of application kernels in hardware. ISLPED 2013: 395-400 - [c63]Yakun Sophia Shao, David M. Brooks:
ISA-independent workload characterization and its implications for specialized architectures. ISPASS 2013: 245-255 - 2012
- [j26]Wonyoung Kim, David M. Brooks, Gu-Yeon Wei:
A Fully-Integrated 3-Level DC-DC Converter for Nanosecond-Scale DVFS. J. Solid-State Circuits 47(1): 206-219 (2012) - [j25]Simone Campanoni, Timothy M. Jones, Glenn H. Holloway, Gu-Yeon Wei, David M. Brooks:
Helix: Making the Extraction of Thread-Level Parallelism Mainstream. IEEE Micro 32(4): 8-18 (2012) - [j24]Michael J. Lyons, Mark Hempstead, Gu-Yeon Wei, David M. Brooks:
The accelerator store: A shared memory framework for accelerator-based systems. TACO 8(4): 48:1-48:22 (2012) - [c62]Simone Campanoni, Timothy M. Jones, Glenn H. Holloway, Vijay Janapa Reddi, Gu-Yeon Wei, David M. Brooks:
HELIX: automatic parallelization of irregular programs for chip multiprocessing. CGO 2012: 84-93 - [c61]Simone Campanoni, Timothy M. Jones, Glenn H. Holloway, Gu-Yeon Wei, David M. Brooks:
The HELIX project: overview and directions. DAC 2012: 277-282 - [c60]Svilen Kanev, Gu-Yeon Wei, David M. Brooks:
XIOSim: power-performance modeling of mobile x86 cores. ISLPED 2012: 267-272 - [c59]Sae Kyu Lee, David M. Brooks, Gu-Yeon Wei:
Evaluation of voltage stacking for near-threshold multicore computing. ISLPED 2012: 373-378 - 2011
- [j23]Mark Hempstead, David M. Brooks, Gu-Yeon Wei:
An Accelerator-Based Wireless Sensor Network Processor in 130 nm CMOS. IEEE J. Emerg. Sel. Topics Circuits Syst. 1(2): 193-202 (2011) - [j22]Vijay Janapa Reddi, Svilen Kanev, Wonyoung Kim, Simone Campanoni, Michael D. Smith, Gu-Yeon Wei, David M. Brooks:
Voltage Noise in Production Processors. IEEE Micro 31(1): 20-28 (2011) - [j21]David M. Brooks:
CPUs, GPUs, and Hybrid Computing. IEEE Micro 31(5): 4-6 (2011) - [j20]Vijay Janapa Reddi, David M. Brooks:
Resilient Architectures via Collaborative Design: Maximizing Commodity Processor Performance in the Presence of Variations. IEEE Trans. on CAD of Integrated Circuits and Systems 30(10): 1429-1445 (2011) - [j19]Kevin Brownell, Ali Durlov Khan, Gu-Yeon Wei, David M. Brooks:
Automating Design of Voltage Interpolation to Address Process Variations. IEEE Trans. Very Large Scale Integr. Syst. 19(3): 383-396 (2011) - [c58]David M. Brooks:
The alarms project: A hardware/software approach to addressing parameter variations. ASP-DAC 2011: 291 - [c57]Peter Bailis, Vijay Janapa Reddi, Sanjay Gandhi, David M. Brooks, Margo I. Seltzer:
Dimetrodon: processor-level preventive thermal management via idle cycle injection. DAC 2011: 89-94 - [c56]Javier Lira, Carlos Molina, David M. Brooks, Antonio González:
Implementing a hybrid SRAM / eDRAM NUCA architecture. HiPC 2011: 1-10 - [c55]Krishna K. Rangan, Michael D. Powell, Gu-Yeon Wei, David M. Brooks:
Achieving uniform performance and maximizing throughput in the presence of heterogeneity. HPCA 2011: 3-14 - [c54]Pierre-Emile Duhamel, Judson Porter, Benjamin M. Finio, Geoffrey L. Barrows, David M. Brooks, Gu-Yeon Wei, Robert J. Wood:
Hardware in the loop for optical flow sensing in a robotic bee. IROS 2011: 1099-1106 - [c53]Wonyoung Kim, David M. Brooks, Gu-Yeon Wei:
A fully-integrated 3-level DC/DC converter for nanosecond-scale DVS with fast shunt regulation. ISSCC 2011: 268-270 - 2010
- [j18]Michael J. Lyons, Mark Hempstead, Gu-Yeon Wei, David M. Brooks:
The Accelerator Store framework for high-performance, low-power accelerator-based systems. IEEE Comput. Archit. Lett. 9(2): 53-56 (2010) - [j17]Vijay Janapa Reddi, Meeta Sharma Gupta, Glenn H. Holloway, Michael D. Smith, Gu-Yeon Wei, David M. Brooks:
Predicting Voltage Droops Using Recurring Program and Microarchitectural Event Activity. IEEE Micro 30(1): 110 (2010) - [j16]Benton H. Calhoun, David M. Brooks:
Can Subthreshold and Near-Threshold Circuits Go Mainstream? IEEE Micro 30(4): 80-85 (2010) - [j15]Benjamin C. Lee, David M. Brooks:
Applied inference: Case studies in microarchitectural design. TACO 7(2): 8:1-8:37 (2010) - [j14]Vijay Janapa Reddi, Simone Campanoni, Meeta Sharma Gupta, Michael D. Smith, Gu-Yeon Wei, David M. Brooks, Kim M. Hazelwood:
Eliminating voltage emergencies via software-guided code transformations. TACO 7(2): 12:1-12:28 (2010) - [c52]Vijay Janapa Reddi, Svilen Kanev, Wonyoung Kim, Simone Campanoni, Michael D. Smith, Gu-Yeon Wei, David M. Brooks:
Voltage Smoothing: Characterizing and Mitigating Voltage Noise in Production Processors via Software-Guided Thread Scheduling. MICRO 2010: 77-88
2000 – 2009
- 2009
- [j13]Xiaoyao Liang, Gu-Yeon Wei, David M. Brooks:
Revival: A Variation-Tolerant Architecture Using Voltage Interpolation and Variable Latency. IEEE Micro 29(1): 127-138 (2009) - [j12]Lukasz Strozek, David M. Brooks:
Energy- and area-efficient architectures through application clustering and architectural heterogeneity. TACO 6(1): 4:1-4:31 (2009) - [c51]Mark Hempstead, Gu-Yeon Wei, David M. Brooks:
An accelerator-based wireless sensor network processor in 130nm CMOS. CASES 2009: 215-222 - [c50]Vijay Janapa Reddi,