Brucek Khailany
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
13
Active years
1998–2025
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool. | Chia-Tung Ho, Haoxing Ren, Brucek Khailany |
| 2025 | DAC | SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity. | Zichen Fan, Steve Dai, Rangharajan Venkatesan, Dennis Sylvester, Brucek Khailany |
| 2025 | DAC | GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting. | Sixu Li, Ben Keller, Yingyan Celine Lin, Brucek Khailany |
| 2025 | SC | Augmenting Simulated Noisy Quantum Data Collection by Orders of Magnitude Using Pre-Trajectory Sampling with Batched Execution. | Taylor Lee Patti, Thien Nguyen, Justin Gage Lietz, Alex McCaskey, Brucek Khailany |
| 2024 | ICCAD | GL0AM: GPU Logic Simulation Using 0-Delay and Re-simulation Acceleration Method. | Yanqing Zhang, Haoxing Ren, Brucek Khailany |
| 2023 | DAC | Efficient Transformer Inference with Statically Structured Sparse Attention. | Steve Dai, Hasan Genc, Rangharajan Venkatesan, Brucek Khailany |
| 2023 | DAC | Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation. | Rongjian Liang, Nathaniel Ross Pinckney, Yuji Chai, Haoxin Ren, Brucek Khailany |
| 2023 | DAC | GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs. | Dian-Lun Lin, Yanqing Zhang, Haoxing Ren, Brucek Khailany, Shih-Hsin Wang, Tsung-Wei Huang |
| 2023 | ICCAD | Invited Paper: VerilogEval: Evaluating Large Language Models for Verilog Code Generation. | Mingjie Liu, Nathaniel Ross Pinckney, Brucek Khailany, Haoxing Ren |
| 2023 | ICCAD | An Adversarial Active Sampling-Based Data Augmentation Framework for AI-Assisted Lithography Modeling. | Mingjie Liu, Haoyu Yang, Brucek Khailany, Haoxing Ren |
| 2022 | DAC | Generative self-supervised learning for gate sizing: invited. | Siddhartha Nath, Geraldo Pradipta, Corey Hu, Tian Yang, Brucek Khailany, Haoxing Ren |
| 2022 | DAC | Generic lithography modeling with dual-band optics-inspired neural networks. | Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren |
| 2022 | DAC | GATSPI: GPU accelerated gate-level simulation for power improvement. | Yanqing Zhang, Haoxing Ren, Akshay Sridharan, Brucek Khailany |
| 2022 | ICCAD | TransSizer: A Novel Transformer-Based Fast Gate Sizer. | Siddhartha Nath, Geraldo Pradipta, Corey Hu, Tian Yang, Brucek Khailany, Haoxing Ren |
| 2022 | ICML | Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training. | Charbel Sakr, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, William J. Dally, Brucek Khailany |
| 2022 | ICPP | From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus. | Dian-Lun Lin, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Tsung-Wei Huang |
| 2021 | DAC | Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers. | Jacob R. Stevens, Rangharajan Venkatesan, Steve Dai, Brucek Khailany, Anand Raghunathan |
| 2021 | DATE | MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification. | Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar |
| 2021 | DATE | Parasitic-Aware Analog Circuit Sizing with Graph Neural Networks and Bayesian Optimization. | Mingjie Liu, Walker J. Turner, George F. Kokai, Brucek Khailany, David Z. Pan, Haoxing Ren |
| 2021 | ICCAD | 2021 ICCAD CAD Contest Problem C: GPU Accelerated Logic Rewriting. | Ghasem Pasandi, Sreedhar Pratty, David Brown, Yanqing Zhang, Haoxing Ren, Brucek Khailany |
| 2021 | ICCAD | IPA: Floorplan-Aware SystemC Interconnect Performance Modeling and Generation for HLS-based SoCs. | Nathaniel Ross Pinckney, Rangharajan Venkatesan, Ben Keller, Brucek Khailany |
| 2021 | ICCAD | Optimizing VLSI Implementation with Reinforcement Learning - ICCAD Special Session Paper. | Haoxing Ren, Saad Godil, Brucek Khailany, Robert Kirby, Haiguang Liao, Siddhartha Nath, Jonathan Raiman, Rajarshi Roy |
| 2020 | ASPDAC | FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning. | Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza |
| 2020 | ASPDAC | PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network. | Zhiyao Xie, Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen |
| 2020 | DAC | GRANNITE: Graph Neural Network Inference for Transferable Power Estimation. | Yanqing Zhang, Haoxing Ren, Brucek Khailany |
| 2020 | ICCAD | Opportunities for RTL and Gate Level Simulation using GPUs (Invited Talk). | Yanqing Zhang, Haoxing Ren, Brucek Khailany |
| 2020 | ICCAD | Problem C: GPU Accelerated Logic Re-simulation : (Invited Talk). | Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany |
| 2019 | DAC | DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement. | Yibo Lin, Shounak Dhar, Wuxi Li, Haoxing Ren, Brucek Khailany, David Z. Pan |
| 2019 | DAC | High Performance Graph Convolutional Networks with Applications in Testability Analysis. | Yuzhe Ma, Haoxing Ren, Brucek Khailany, Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan, Bei Yu |
| 2019 | DAC | Analog/Mixed-Signal Hardware Error Modeling for Deep Learning Inference. | Angad S. Rekhi, Brian Zimmer, Nikola Nedovic, Ningxi Liu, Rangharajan Venkatesan, Miaorong Wang, Brucek Khailany, William J. Dally, C. Thomas Gray |
| 2019 | DAC | PRIMAL: Power Inference using Machine Learning. | Yuan Zhou, Haoxing Ren, Yanqing Zhang, Ben Keller, Brucek Khailany, Zhiru Zhang |
| 2019 | ICCAD | MAGNet: A Modular Accelerator Generator for Neural Networks. | Rangharajan Venkatesan, Yakun Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matthew Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William J. Dally, Joel S. Emer, Stephen W. Keckler, Brucek Khailany |
| 2019 | ISPASS | Timeloop: A Systematic Approach to DNN Accelerator Evaluation. | Angshuman Parashar, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara, Rangharajan Venkatesan, Brucek Khailany, Stephen W. Keckler, Joel S. Emer |
| 2019 | MICRO | Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture. | Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Brucek Khailany, Stephen W. Keckler |
| 2018 | DAC | A modular digital VLSI flow for high-productivity SoC design. | Brucek Khailany, Evgeni Khmer, Rangharajan Venkatesan, Jason Clemons, Joel S. Emer, Matthew Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Ross Pinckney, Yakun Sophia Shao, Shreesha Srinath, Christopher Torng, Sam Likun Xi, Yanqing Zhang, Brian Zimmer |
| 2017 | ISCA | SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks. | Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel S. Emer, Stephen W. Keckler, William J. Dally |
| 2016 | DAC | A real-time energy-efficient superpixel hardware accelerator for mobile computer vision applications. | Injoon Hong, Jason Clemons, Rangharajan Venkatesan, Iuri Frosio, Brucek Khailany, Stephen W. Keckler |
| 2012 | MICRO | Unifying Primary Cache, Scratch, and Register File Memories in a Throughput Processor. | Mark Gebhart, Stephen W. Keckler, Brucek Khailany, Ronny Krashinsky, William J. Dally |
| 2011 | SC | CudaDMA: optimizing GPU memory bandwidth via warp specialization. | Michael Bauer, Henry Cook, Brucek Khailany |
| 2004 | ISCA | Evaluating the Imagine Stream Architecture. | Jung Ho Ahn, William J. Dally, Brucek Khailany, Ujval J. Kapasi, Abhishek Das |
| 2003 | HPCA | Exploring the VLSI Scalability of Stream Processors. | Brucek Khailany, William J. Dally, Scott Rixner, Ujval J. Kapasi, John D. Owens, Brian Towles |
| 2002 | ICCD | The Imagine Stream Processor. | Ujval J. Kapasi, William J. Dally, Scott Rixner, John D. Owens, Brucek Khailany |
| 2002 | ICCD | VLSI Design and Verification of the Imagine Processor. | Brucek Khailany, William J. Dally, Andrew Chang, Ujval J. Kapasi, Jinyung Namkoong, Brian Towles |
| 2000 | HPCA | Register Organization for Media Processing. | Scott Rixner, William J. Dally, Brucek Khailany, Peter R. Mattson, Ujval J. Kapasi, John D. Owens |
| 2000 | MICRO | Efficient conditional operations for data-parallel architectures. | Ujval J. Kapasi, William J. Dally, Scott Rixner, Peter R. Mattson, John D. Owens, Brucek Khailany |
| 1998 | MICRO | A Bandwidth-efficient Architecture for Media Processing. | Scott Rixner, William J. Dally, Ujval J. Kapasi, Brucek Khailany, Abelardo Lpez-Lagunas, Peter R. Mattson, John D. Owens |