Stephen W. Keckler

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 77

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Geonhwa Jeong, Po-An Tsai, Stephen W. Keckler, Tushar Krishna
SDQ: Sparse Decomposed Quantization for LLM Inference. CoRR (2024)
Neal Clayton Crago, Sana Damani, Karthikeyan Sankaralingam, Stephen W. Keckler
WASP: Exploiting GPU Pipeline Parallelism with Hardware-Accelerated Automatic Warp Specialization. HPCA (2024)
Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna
Abstracting Sparse DNN Acceleration via Structured Sparse Tensor Decomposition. CoRR (2024)
Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz
Vision Transformer Computation and Resilience for Dynamic Inference. ISPASS (2024)
Aamer Jaleel, Gururaj Saileshwar, Stephen W. Keckler, Moinuddin K. Qureshi
PrIDE: Achieving Secure Rowhammer Mitigation with Low-Cost In-DRAM Trackers. ISCA (2024)
Aamer Jaleel, Stephen W. Keckler, Gururaj Saileshwar
Probabilistic Tracker Management Policies for Low-Cost and Scalable Rowhammer Mitigation. CoRR (2024)
Mohamed Tarek Ibn Ziad, Sana Damani, Aamer Jaleel, Stephen W. Keckler, Mark Stephenson
cuCatch: A Debugging Tool for Efficiently Catching Memory Safety Violations in CUDA Applications. Proc. ACM Program. Lang. 7 (PLDI) (2023)
Michael Pellauer, Jason Clemons, Vignesh Balaji, Neal Clayton Crago, Aamer Jaleel, Donghyuk Lee, Mike O'Connor, Anghsuman Parashar, Sean Treichler, Po-An Tsai, Stephen W. Keckler, Joel S. Emer
Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. ACM Trans. Comput. Syst. 41 (2023)
Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi
VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning. IROS (2023)
Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi
VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning. CoRR (2023)
Michael B. Sullivan, Mohamed Tarek Ibn Ziad, Aamer Jaleel, Stephen W. Keckler
Implicit Memory Tagging: No-Overhead Memory Safety Using Alias-Free Tagged ECC. ISCA (2023)
Vignesh Balaji, Neal Clayton Crago, Aamer Jaleel, Stephen W. Keckler
Community-based Matrix Reordering for Sparse Linear Algebra Optimization. ISPASS (2023)
Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler
Augmenting Legacy Networks for Flexible Inference. IV (2023)
Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems. DSN (2022)
Yu-Shun Hsiao, Siva Kumar Sastry Hari, Michal Filipiuk, Timothy Tsai, Michael B. Sullivan, Vijay Janapa Reddi, Vasu Singh, Stephen W. Keckler
Zhuyi: perception processing rate estimation for safety in autonomous vehicles. DAC (2022)
Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz
Enabling and Accelerating Dynamic Vision Transformer Inference for Real-Time Applications. CoRR (2022)
Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David W. Nellans, Stephen W. Keckler
GPU Domain Specialization via Composable On-Package Architecture. ACM Trans. Archit. Code Optim. 19 (1) (2022)
Jason Clemons, Iuri Frosio, Maying Shen, Jose M. Alvarez, Stephen W. Keckler
Augmenting Legacy Networks for Flexible Inference. ECCV Workshops (7) (2022)
Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler
Making Convolutions Resilient Via Algorithm-Based Error Detection Techniques. IEEE Trans. Dependable Secur. Comput. 19 (4) (2022)
Sana Damani, Mark Stephenson, Ram Rangan, Daniel R. Johnson, Rishkul Kulkami, Stephen W. Keckler
GPU Subwarp Interleaving. HPCA (2022)
Michael B. Sullivan, Nirmal R. Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Kumar Sastry Hari, Stephen W. Keckler
Characterizing and Mitigating Soft Errors in GPU DRAM. IEEE Micro 42 (4) (2022)
Yu-Shun Hsiao, Siva Kumar Sastry Hari, Michal Filipiuk, Timothy Tsai, Michael B. Sullivan, Vijay Janapa Reddi, Vasu Singh, Stephen W. Keckler
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles. CoRR (2022)
Mike O'Connor, Donghyuk Lee, Niladrish Chatterjee, Michael B. Sullivan, Stephen W. Keckler
Saving PAM4 Bus Energy with SMOREs: Sparse Multi-level Opportunistic Restricted Encodings. HPCA (2022)
William J. Dally, Stephen W. Keckler, David Blair Kirk
Evolution of the Graphics Processing Unit (GPU). IEEE Micro 41 (6) (2021)
Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh R. Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler
Optimizing Selective Protection for CNN Resilience. ISSRE (2021)
Mark Stephenson, Ram Rangan, Stephen W. Keckler
Cooperative Profile Guided Optimizations. Comput. Graph. Forum 40 (8) (2021)
Hengyu Zhao, Siva Kumar Sastry Hari, Timothy Tsai, Michael B. Sullivan, Stephen W. Keckler, Jishen Zhao
Suraksha: A Framework to Analyze the Safety Implications of Perception Design Choices in AVs. ISSRE (2021)
Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. CoRR (2021)
Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. IV (2021)
Hengyu Zhao, Siva Kumar Sastry Hari, Timothy Tsai, Michael B. Sullivan, Stephen W. Keckler, Jishen Zhao
Suraksha: A Quantitative AV Safety Evaluation Framework to Analyze Safety Implications of Perception Design Choices. DSN Workshops (2021)
Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Oreste Villa, Stephen W. Keckler
NVBitFI: Dynamic Fault Injection for GPUs. DSN (2021)
Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Stephen W. Keckler, Zhengya Zhang
SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference. IEEE J. Solid State Circuits 56 (2) (2021)
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
Simba: scaling deep-learning inference with chiplet-based architecture. Commun. ACM 64 (6) (2021)
Michael B. Sullivan, Nirmal R. Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Kumar Sastry Hari, Stephen W. Keckler
Characterizing and Mitigating Soft Errors in GPU DRAM. MICRO (2021)
Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David W. Nellans, Stephen W. Keckler
GPU Domain Specialization via Composable On-Package Architecture. CoRR (2021)
Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh R. Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler
HarDNN: Feature Map Vulnerability Evaluation in CNNs. CoRR (2020)
Siva Kumar Sastry Hari, Paolo Rech, Timothy Tsai, Mark Stephenson, Arslan Zulfiqar, Michael B. Sullivan, Philip P. Shirvani, Paul Racunas, Joel S. Emer, Stephen W. Keckler
Estimating Silent Data Corruption Rates Using a Two-Level Model. CoRR (2020)
Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler
Making Convolutions Resilient via Algorithm-Based Error Detection Techniques. CoRR (2020)
Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, 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, Stephen W. Keckler, Brucek Khailany
A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm. IEEE J. Solid State Circuits 55 (4) (2020)
Sana Damani, Daniel R. Johnson, Mark Stephenson, Stephen W. Keckler, Eddie Yan, Michael McKeown, Olivier Giroux
Speculative reconvergence for improved SIMT efficiency. CGO (2020)
Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. ISCA (2020)
Kyushick Lee, Michael B. Sullivan, Siva Kumar Sastry Hari, Timothy Tsai, Stephen W. Keckler, Mattan Erez
GPU snapshot: checkpoint offloading for GPU-dense systems. ICS (2019)
Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
ML-Based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. DSN (2019)
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
Timeloop: A Systematic Approach to DNN Accelerator Evaluation. ISPASS (2019)
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
MAGNet: A Modular Accelerator Generator for Neural Networks. ICCAD (2019)
Oreste Villa, Mark Stephenson, David W. Nellans, Stephen W. Keckler
NVBit: A Dynamic Binary Instrumentation Framework for NVIDIA GPUs. MICRO (2019)
Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. CoRR (2019)
Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, 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, Stephen W. Keckler, Brucek Khailany
A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator with Ground-Reference Signaling in 16nm. VLSI Circuits (2019)
Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Stephen W. Keckler, Zhengya Zhang
SNAP: A 1.67 - 21.55TOPS/W Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference in 16nm CMOS. VLSI Circuits (2019)
Saurabh Jha, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors. CoRR (2019)
Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. CoRR (2019)
Neal Clayton Crago, Mark Stephenson, Stephen W. Keckler
Exposing Memory Access Patterns to Improve Instruction and Memory Efficiency in GPUs. ACM Trans. Archit. Code Optim. 15 (4) (2019)
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
Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture. MICRO (2019)
Kyushick Lee, Michael B. Sullivan, Siva Kumar Sastry Hari, Timothy Tsai, Stephen W. Keckler, Mattan Erez
On the Trend of Resilience for GPU-Dense Systems. DSN (Supplements) (2019)
Michael Pellauer, Yakun Sophia Shao, Jason Clemons, Neal Clayton Crago, Kartik Hegde, Rangharajan Venkatesan, Stephen W. Keckler, Christopher W. Fletcher, Joel S. Emer
Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration. ASPLOS (2019)
Rangharajan Venkatesan, Yakun Sophia Shao, Brian Zimmer, Jason Clemons, 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, Stephen W. Keckler, Brucek Khailany
A 0.11 PJ/OP, 0.32-128 Tops, Scalable Multi-Chip-Module-Based Deep Neural Network Accelerator Designed with A High-Productivity vlsi Methodology. Hot Chips Symposium (2019)
Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie
Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. CoRR (2018)
Dani Voitsechov, Arslan Zulfiqar, Mark Stephenson, Mark Gebhart, Stephen W. Keckler
Software-Directed Techniques for Improved GPU Register File Utilization. ACM Trans. Archit. Code Optim. 15 (3) (2018)
Abdulrahman Mahmoud, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai, Stephen W. Keckler
Optimizing software-directed instruction replication for GPU error detection. SC (2018)
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. HPCA (2018)
Michael B. Sullivan, Siva Kumar Sastry Hari, Brian Zimmer, Timothy Tsai, Stephen W. Keckler
SwapCodes: Error Codes for Hardware-Software Cooperative GPU Pipeline Error Detection. MICRO (2018)
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel S. Emer, Stephen W. Keckler, William J. Dally
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks. ISCA (2017)
Guanpeng Li, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel S. Emer, Stephen W. Keckler
Understanding error propagation in deep learning neural network (DNN) accelerators and applications. SC (2017)
Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel S. Emer, Stephen W. Keckler, William J. Dally
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks. CoRR (2017)
Mike O'Connor, Niladrish Chatterjee, Donghyuk Lee, John M. Wilson, Aditya Agrawal, Stephen W. Keckler, William J. Dally
Fine-grained DRAM: energy-efficient DRAM for extreme bandwidth systems. MICRO (2017)
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. CoRR (2017)
Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel R. Johnson, Stephen W. Keckler, Minsoo Rhu, William J. Dally
Architecting an Energy-Efficient DRAM System for GPUs. HPCA (2017)
Siva Kumar Sastry Hari, Timothy Tsai, Mark Stephenson, Stephen W. Keckler, Joel S. Emer
SASSIFI: An architecture-level fault injection tool for GPU application resilience evaluation. ISPASS (2017)
Tianhao Zheng, David W. Nellans, Arslan Zulfiqar, Mark Stephenson, Stephen W. Keckler
Towards high performance paged memory for GPUs. HPCA (2016)
Gennady Pekhimenko, Evgeny Bolotin, Nandita Vijaykumar, Onur Mutlu, Todd C. Mowry, Stephen W. Keckler
A case for toggle-aware compression for GPU systems. HPCA (2016)
Neha Agarwal, David W. Nellans, Eiman Ebrahimi, Thomas F. Wenisch, John Danskin, Stephen W. Keckler
Selective GPU caches to eliminate CPU-GPU HW cache coherence. HPCA (2016)
Injoon Hong, Jason Clemons, Rangharajan Venkatesan, Iuri Frosio, Brucek Khailany, Stephen W. Keckler
A real-time energy-efficient superpixel hardware accelerator for mobile computer vision applications. DAC (2016)
Aditya Agrawal, Mike O'Connor, Evgeny Bolotin, Niladrish Chatterjee, Joel S. Emer, Stephen W. Keckler
CLARA: Circular Linked-List Auto and Self Refresh Architecture. MEMSYS (2016)
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems. ISCA (2016)
Jason Clemons, Chih-Chi Cheng, Iuri Frosio, Daniel R. Johnson, Stephen W. Keckler
A patch memory system for image processing and computer vision. MICRO (2016)
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler
Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design. CoRR (2016)
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler
vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design. MICRO (2016)
Evgeny Bolotin, David W. Nellans, Oreste Villa, Mike O'Connor, Alex Ramírez, Stephen W. Keckler
Designing Efficient Heterogeneous Memory Architectures. IEEE Micro 35 (4) (2015)
Neha Agarwal, David W. Nellans, Mark Stephenson, Mike O'Connor, Stephen W. Keckler
Page Placement Strategies for GPUs within Heterogeneous Memory Systems. ASPLOS (2015)
Mark Stephenson, Siva Kumar Sastry Hari, Yunsup Lee, Eiman Ebrahimi, Daniel R. Johnson, David W. Nellans, Mike O'Connor, Stephen W. Keckler
Flexible software profiling of GPU architectures. ISCA (2015)
Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Stephen W. Keckler, Mahmut T. Kandemir, Chita R. Das
Anatomy of GPU Memory System for Multi-Application Execution. MEMSYS (2015)
Neha Agarwal, David W. Nellans, Mike O'Connor, Stephen W. Keckler, Thomas F. Wenisch
Unlocking bandwidth for GPUs in CC-NUMA systems. HPCA (2015)
Joel Hestness, Stephen W. Keckler, David A. Wood
GPU Computing Pipeline Inefficiencies and Optimization Opportunities in Heterogeneous CPU-GPU Processors. IISWC (2015)
Timothy G. Rogers, Daniel R. Johnson, Mike O'Connor, Stephen W. Keckler
A variable warp size architecture. ISCA (2015)
Stephen W. Keckler
Increasing Interconnection Network Throughput with Virtual Channels. Computer 48 (7) (2015)
Gennady Pekhimenko, Evgeny Bolotin, Mike O'Connor, Onur Mutlu, Todd C. Mowry, Stephen W. Keckler
Toggle-Aware Compression for GPUs. IEEE Comput. Archit. Lett. 14 (2) (2015)
Joel Hestness, Stephen W. Keckler, David A. Wood
A comparative analysis of microarchitecture effects on CPU and GPU memory system behavior. IISWC (2014)
Adwait Jog, Evgeny Bolotin, Zvika Guz, Mike Parker, Stephen W. Keckler, Mahmut T. Kandemir, Chita R. Das
Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications. GPGPU@ASPLOS (2014)
Jeffrey R. Diamond, Donald S. Fussell, Stephen W. Keckler
Arbitrary Modulus Indexing. MICRO (2014)
Jaehyuk Huh, Changkyu Kim, Hazim Shafi, Lixin Zhang, Doug Burger, Stephen W. Keckler
Author retrospective for a NUCA substrate for flexible CMP cache sharing. ICS 25th Anniversary (2014)
Oreste Villa, Daniel R. Johnson, Mike O'Connor, Evgeny Bolotin, David W. Nellans, Justin Luitjens, Nikolai Sakharnykh, Peng Wang, Paulius Micikevicius, Anthony Scudiero, Stephen W. Keckler, William J. Dally
Scaling the Power Wall: A Path to Exascale. SC (2014)
Stephen W. Keckler, Dean M. Tullsen
2014 International Symposium on Computer Architecture Influential Paper Award; 2014 Maurice Wilkes Award Given to Ravi Rajwar. IEEE Micro 34 (6) (2014)
Madhu Saravana Sibi Govindan, Behnam Robatmili, Dong Li, Bertrand A. Maher, Aaron Smith, Stephen W. Keckler, Doug Burger
Scaling Power and Performance viaProcessor Composability. IEEE Trans. Computers 63 (8) (2014)
Stephen W. Keckler
Rethinking caches for throughput processors: technical perspective. Commun. ACM 57 (12) (2014)
Yunsup Lee, Vinod Grover, Ronny Krashinsky, Mark Stephenson, Stephen W. Keckler, Krste Asanovic
Exploring the Design Space of SPMD Divergence Management on Data-Parallel Architectures. MICRO (2014)
Yunsup Lee, Ronny Krashinsky, Vinod Grover, Stephen W. Keckler, Krste Asanovic
Convergence and scalarization for data-parallel architectures. CGO (2013)
William J. Dally, Chris Malachowsky, Stephen W. Keckler
21st century digital design tools. DAC (2013)
Behnam Robatmili, Dong Li, Hadi Esmaeilzadeh, Madhu Saravana Sibi Govindan, Aaron Smith, Andrew Putnam, Doug Burger, Stephen W. Keckler
How to implement effective prediction and forwarding for fusable dynamic multicore architectures. HPCA (2013)
Mark Gebhart, Stephen W. Keckler, Brucek Khailany, Ronny Krashinsky, William J. Dally
Unifying Primary Cache, Scratch, and Register File Memories in a Throughput Processor. MICRO (2012)
Premkishore Shivakumar, Stephen W. Keckler, Charles R. Moore, Doug Burger
Exploiting microarchitectural redundancy for defect tolerance. ICCD (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stephen W. Keckler