Computer Architecture

Balakumar Sundaralingam, Siva Hari, Adam Fishman, Caelan Garrett, Karl Van Wyk, Valts Blukis, Alexander Millane, Helen Oleynikova, Ankur Handa, Fabio Ramos, Nathan Ratliff, Dieter Fox

IEEE International Conference on Robotics and Automation (ICRA)

Parsimony: Enabling SIMD/Vector Programming in Standard Compiler Flows

Vijay Kandiah, Daniel Lustig, Oreste Villa, David Nellans, Nikos Hardavellas

International Symposium on Code Generation and Optimization

A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm

Ben Keller, Rangharajan Venkatesan, Steve Dai, Stephen Tell, Brian Zimmer, Charbel Sakr, William Dally, Tom Gray, Brucek Khailany

Journal of Solid-State Circuits

2022

HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression

Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan

Workshop on ML for Systems at NeurIPS

Spotlight Paper

LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update

Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, Mustafa Ali, Ming-Yu Liu, Brucek Khailany, William Dally, Anima Anandkumar

IEEE Transactions on Computers (Volume: 71, Issue: 12, 01 December 2022)

Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications

Bo Fang, Siva Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin Barker, Ang Li

Workshop on Fault-Tolerance for HPC at Extreme Scale (FTXS)

Demystifying Map Space Exploration for NPUs

Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna

International Symposium on Workload Characterization (IISWC)

The Implications of Page Size Management on Graph Analytics

Aninda Manocha, Zi Yan, Esin Tureci, Juan Luis Aragón, David Nellans, Margaret Martonosi

International Symposium on Workload Characterization (IISWC)

Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling

Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel Emer

International Symposium on Microarchitecture (MICRO)

Distinguished Artifact award

SEC-BADAEC: An Efficient ECC With No Vacancy for Strong Memory Protection

Yuseok Song, Sangjae Park, Michael B. Sullivan, Jungrae Kim

IEEE Access

Self Adaptive Reconfigurable Arrays (SARA): Learning Flexible GEMM Accelerator Configuration and Mapping-space using ML

Ananda Samajdar, Eric Qin, Michael Pellauer, Tushar Krishna

Design Automation Conference (DAC)

Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles

Yu-Shun Hsiao, Siva Hari, Michał Filipiuk, Timothy Tsai, Michael B. Sullivan, Vijay Janapa Reddi, Vasu Singh, Steve Keckler

Design Automation Conference (DAC)

Ruby: Improving Hardware Efficiency for Tensor Algebra Accelerators Through Imperfect Factorization

Mark Horeni, Pooria Taheri, Po-An Tsai, Angshuman Parashar, Joel Emer, Siddharth Joshi

International Symposium on Performance Analysis of Systems and Software (ISPASS)

Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems

Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Steve Keckler, Ravishankar K. Iyer

International Conference on Dependable Systems and Networks (DSN)

Mixed-Proxy Extensions for the NVIDIA PTX Memory Consistency Model

Daniel Lustig, Simon Cooksey, Olivier Giroux

International Symposium on Computer Architecture (ISCA), Industry Track

IEEE Micro Top Picks in Computer Architecture (Honorable Mention)

SIMD^2: A Generalized Matrix Instruction Set for Accelerating Tensor Computation beyond GEMM

Yunan Zhang, Po-An Tsai, Hung-Wei Tseng

International Symposium on Computer Architecture (ISCA)

A Formalism of DNN Accelerator Flexibility

Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna

SIGMETRICS

Learning A Continuous and Reconstructible Latent Space for Hardware Accelerator Design

Qijing Jenny Huang, Charles Hong, John Wawrzynek, Mahesh Subedar, Yakun Sophia Shao

International Symposium on Performance Analysis of Systems and Software (ISPASS)

Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles

Yu-Shun Hsiao, Siva Hari, Michał Filipiuk, Timothy Tsai, Michael B. Sullivan, Vijay Janapa Reddi, Vasu Singh, Steve Keckler

arXiv

Saving PAM4 Bus Energy with SMOREs: Sparse Multi-level Opportunistic Restricted Encodings

Mike O'Connor, Donghyuk Lee, Niladrish Chatterjee, Michael B. Sullivan, Steve Keckler

International Symposium on High-Performance Computer Architecture (HPCA)

Improving Locality of Irregular Updates with Hardware Assisted Propagation Blocking

Vignesh Balaji, Brandon Lucia

International Symposium on High Performance Computer Architecture (HPCA)

Best Paper nominee

Characterizing and Mitigating Soft Errors in GPU DRAM

Michael B. Sullivan, Nirmal R. Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Kumar Sastry Hari, Stephen W. Keckler

IEEE Micro (Issue: Top Picks of the 2021 Computer Architecture Conferences)

DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators

Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna

Design, Automation & Test in Europe (DATE)

Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators

Prasanth Chatarasi, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Tushar Krishna, Vivek Sarkar

Transactions on Architecture and Code Optimization (TACO)

DAGguise: Mitigating Memory Timing Side Channels

Peter W. Deutsch, Yuheng Yang, Thomas Bourgeat, Jules Drean, Joel Emer, Mengjia Yan

International Conference on Architectural Support for Programming Languages and…

Accelerators

Steve Keckler, Dejan Milojicic

IEEE Computer

GPU Subwarp Interleaving

Sana Damani, Mark Stephenson, Ram Rangan, Daniel Johnson, Rishkul Kulkarni, Steve Keckler

International Symposium on High-Performance Computer Architecture (HPCA)

2021

GPU Domain Specialization via Composable On-Package Architecture

Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, Steve Keckler

ACM Transactions on Architecture and Code Optimization (TACO)

Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers

Jacob R. Stevens, Rangharajan Venkatesan, Steve Dai, Brucek Khailany, Anand Raghunathan

Design Automation Conference (DAC) 2021

Evolution of the Graphics Processing Unit (GPU)

William Dally, Steve Keckler, David B. Kirk

IEEE Micro Special Issue of the 50th Anniversary of the Microprocessor

Optimizing Selective Protection for CNN Resilience

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

International Symposium on Software Reliability Engineering (ISSRE)

Suraksha: A Framework to Analyze the Safety Implications of Perception Design Choices in AVs

Hengyu Zhao, Siva Hari, Timothy Tsai, Michael B. Sullivan, Steve Keckler, Jishen Zhao

International Symposium on Software Reliability Engineering (ISSRE)

GPS: A Global Publish-Subscribe Model for Multi-GPU Memory Management

Harini Muthukrishnan, Daniel Lustig, David Nellans, Thomas Wenisch

International Symposium on Microarchitecture (MICRO)

Best Paper nominee, IEEE Micro Top Picks in Computer Architecture (Honorable Mention)

Characterizing and Mitigating Soft Errors in GPU DRAM

Michael B. Sullivan, Nirmal Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Hari, Steve Keckler

International Symposium on Microarchitecture (MICRO)

IEEE Micro Top Picks in Computer Architecture

Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators

Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna

Parallel Architectures and Compilation Techniques (PACT)

EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs

Seung Won Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-mei Hwu

Proceedings of the VLDB Endownment (VLDB)

Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture

Seung Won Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei Hwu

Proceedings of the VLDB Endowment (VLDB)

NVBitFI: Dynamic Fault Injection for GPUs

Timothy Tsai, Siva Hari, Michael B. Sullivan, Oreste Villa, Steve Keckler

International Conference on Dependable Systems and Networks (DSN)

Efficient Multi-GPU Shared Memory via Automatic Optimization of Fine-Grained Transfers

Harini Muthukrishnan, David Nellans, Daniel Lustig, Jeffrey Fessler, Thomas Wenisch

International Symposium on Computer Architecture (ISCA)

SpZip: Architectural Support for Effective Data Compression in Irregular Applications

Yifan Yang, Joel Emer, Daniel Sanchez

International Symposium on Computer Architecture (ISCA)

Simba: scaling deep-learning inference with chiplet-based architecture

Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Brucek Khailany, Steve Keckler

Communications of the ACM

ACM Research Highlight

Demystifying GPU Reliability: Comparing and Combining Beam Experiments, Fault Simulation, and Profiling

Fernando Fernandes dos Santos, Siva Hari, Pedro Martins Basso, Luigi Carro, Paolo Rech

IEEE International Parallel & Distributed Processing Symposium (IPDPS)

Sparseloop: An Analytical, Energy-Focused Design Space Exploration Methodology for Sparse Tensor Accelerators

Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel Emer

International Symposium on Performance Analysis of Systems and Software (ISPASS)

Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search

Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher

International Conference on Architectural Support for Programming Languages and…

GAMMA: Exploiting Gustavson’s Algorithm to Accelerate Sparse Matrix Multiplication

Guowei Zhang, Nithya Attaluri, Joel Emer, Daniel Sanchez

International Conference on Architectural Support for Programming Languages and…

GPU Domain Specialization via Composable On-Package Architecture

Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, Steve Keckler

arXiv

VS-QUANT: Per-Vector Scaled Quantization for Accurate Low-Precision Neural Network Inference

Steve Dai, Rangharajan Venkatesan, Haoxing (Mark) Ren, Brian Zimmer, William Dally, Brucek Khailany

MLSys 2021

Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures

Atefeh Mehrabi, Donghyuk Lee, Niladrish Chatterjee, Danial J. Sorin, Benjamin C. Lee, Mike O'Connor

International Symposium on Performance Analysis of Systems and Software (ISPASS)

Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture

Seung Won Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei Hwu

ArXiv

PGZ: Automatic Zero-Value Code Specialization

Mark Stephenson, Ram Rangan

International Conference on Compiler Construction (CC)

Making Convolutions Resilient via Algorithm-Based Error Detection Techniques

Siva Hari, Michael B. Sullivan, Timothy Tsai, Steve Keckler

IEEE Transactions on Dependable and Secure Computing (TDSC)

Reduced Precision DWC: An Efficient Hardening Strategy for Mixed-Precision Architectures

Fernando F. dos Santos, Marcelo Brandalero, Michael B. Sullivan, Pedro M. Basso, Michael Hubner, Luigi Carro, Paolo Rech

IEEE Transactions on Computers

Heterogeneous Dataflow Accelerators for Multi-DNN Workloads

Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra

International Symposium on High-Performance Computer Architecture (HPCA)

P-OPT: Practical Optimal Cache Replacement for Graph Analytics

Vignesh Balaji, Neal Crago, Aamer Jaleel, Brandon Lucia

International Symposium on High Performance Computer Architecture (HPCA)

Best Paper nominee

Need for Speed: Experiences Building a Trustworthy System-Level GPU Simulator.

Oreste Villa, Daniel Lustig, Zi Yan, Evgeny Bolotin, Yaosheng Fu, Niladrish Chatterjee, Ted Jiang, David Nellans

International Symposium on High Performance Computer Architecture (HPCA)

SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference

Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Steve Keckler, Zhengya Zhang

IEEE Journal of Solid-State Circuits (JSSC)

Hardware Abstractions for Targeting EDDO Architectures with the Polyhedral Model

Angshuman Parashar, Prasanth Chatarasi, Po-An Tsai

International Workshop on Polyhedral Compilation Techniques (IMPACT)

Flexion: A Quantitative Metric for Flexibility in DNN Accelerators

Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna

IEEE Computer Architecture Letters (CAL)

2020

The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems

Ahmet Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David Nellans, Diana Marculescu

Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2)

GPU-Trident: Efficient Modeling of Error Propagation in GPU Programs

Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael B. Sullivan, Timothy Tsai, Siva Hari

The International Conference for High Performance Computing, Networking, Storag…

Locality-Centric Data and Threadblock Management for Massive GPUs

Mahmoud Khairy, Vadim Nikiforov, David Nellans, Timothy G. Rogers

International Symposium on Microarchitecture (MICRO)

CaSA: End-to-end Quantitative Security Analysis of Randomly Mapped Caches

Thomas Bourgeat, Jules Drean, Yuheng Yang, Lillian Tsai, Joel Emer, Mengjia Yan

International Symposium on Microarchitecture (MICRO)

HarDNN: Fine-Grained Vulnerability Evaluation and Protection for Convolutional Neural Networks

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

SRC TECHCON

How to Evaluate Deep Neural Network Processors: TOPS/W (Alone) Considered Harmful

Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel Emer

IEEE Solid-State Circuits Magazine

Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks

Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh

International Symposium on Microarchitecture (MICRO)

PyTorchFI: A Runtime Perturbation Tool for DNNs

Abdulrahman Mahmoud, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez Vicarte, Sarita V. Adve, Christopher W. Fletcher, Iuri Frosio, Siva Hari

Workshop on Dependable and Secure Machine Learning

EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs

Seung Won Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-mei Hwu

arXiv

Making Convolutions Resilient via Algorithm-Based Error Detection Techniques

Siva Hari, Michael B. Sullivan, Timothy Tsai, Steve Keckler

arXiv

There’s Plenty of Room at the Top: What Will Drive Computer Performance after Moore’s Law?

Charles E. Leiserson, Neil C. Thompson, Joel Emer, Bradley C. Kuszmaul, Butler W. Lampson, Daniel Sanchez , Tao B. Schardl

Science

Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs

Esha Chouske, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David Nellans, Steve Keckler

International Symposium on Computer Architecture (ISCA)

An In-Network Architecture for Accelerating Shared-Memory Multiprocessor Collectives

Benjamin Klenk, Ted Jiang, Greg Thorson, Larry Dennison

International Symposium on Computer Architecture (ISCA)

Estimating Silent Data Corruption Rates Using a Two-Level Model

Siva Hari, Paolo Rech, Timothy Tsai, Mark Stephenson, Arslan Zulfiqar, Michael B. Sullivan, Philip Shirvani, Paul Racunas, Joel Emer, Steve Keckler

arXiv

MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings

Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, Michael Pellauer, Angshuman Parashar

IEEE Micro (Issue: Top Picks of the 2019 Computer Architecture Conferences)

BYOC: A "Bring Your Own Core" Framework for Heterogeneous-ISA Research

Jonathan Balkind, Katie Lim, Michael Schaffner, Fei Gao, Grigory Chirkov, Ang Li, Alexey Lavrov, Tri M. Nguyen, Yaosheng Fu, Florian Zaruba, Kunal Gulati, Luca Benini, David Wentzlaf

International Conference on Architectural Support for Programming Languages and…

Safecracker: Leaking Secrets through Compressed Caches

Po-An Tsai, Andres Sanchez, Christopher W. Fletcher, Daniel Sanchez

International Conference on Architectural Support for Programming Languages and…

IEEE Micro Top Picks in Computer Architecture

RealityCheck: Bringing Modularity, Hierarchy, and Abstraction to Automated Microarchitectural Memory Consistency Verification

Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi

arXiv

Feature Map Vulnerability Evaluation in CNNs

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

Workshop on Secure and Resilient Autonomy

HarDNN: Feature Map Vulnerability Evaluation in CNNs

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

arXiv

Speculative Reconvergence for Improved SIMT Efficiency

Sana Damani, Daniel Johnson, Mark Stephenson, Eddie Yan, Olivier Giroux, Michael McKeown, Steve Keckler

International Symposium on Code Generation and Optimization

HMG: Extending Cache Coherence Protocols Across Modern Hierarchical Multi-GPU Systems

Xiaowei Ren, Daniel Lustig, Evgeny Bolotin, Aamer Jaleel, Oreste Villa, David Nellans

International Symposium on High Performance Computer Architecture (HPCA)

2019

Near-Memory Data Transformation for Efficient Sparse Matrix Multi-Vector Multiplication

Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor

International Conference for High-Performance Computing, Networking, Storage, a…

MAGNet: A Modular Accelerator Generator for Neural Networks

Rangharajan Venkatesan, Sophia Shao, Miaorong Wang, Jason Clemons, Steve Dai, Matt Fojtik, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Yanqing Zhang, Brian Zimmer, William Dally, Joel Emer, Steve Keckler, Brucek Khailany

International Conference On Computer Aided Design (ICCAD)

Accelergy: An Architecture-Level Energy Estimation Methodology for Accelerator Designs

Yannan Nellie Wu, Joel Emer, Vivienne Sze

International Conference on Computer Aided Design (ICCAD)

NVBit: A Dynamic Binary Instrumentation Framework for NVIDIA GPUs

Oreste Villa, Mark Stephenson, David Nellans, Steve Keckler

International Symposium on Microarchitecture (MICRO)

ExTensor: An Accelerator for Sparse Tensor Algebra

Kartik Hegde, Hadi Asghari-Moghaddam, Michael Pellauer, Neal Crago, Aamer Jaleel, Edgar Solomonik, Joel Emer, Christopher W. Fletcher

International Symposium on Microarchitecture (MICRO)

IEEE Micro Top Picks in Computer Architecture (Honorable Mention)

Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture

Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Brucek Khailany, Steve Keckler

International Symposium on Microarchitecture (MICRO)

Best Paper award, IEEE Micro Top Picks in Computer Architecture (Honorable Mention)

Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach.

Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna

International Symposium on Microarchitecture (MICRO)

IEEE Micro Top Picks in Computer Architecture

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

Rangharajan Venkatesan, Sophia Shao, Brian Zimmer, Jason Clemons, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Steve Keckler, Brucek Khailany

Hot Chips: A Symposium on High Performance Chips

Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training

Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David Nellans, Puneet Gupta

IEEE MICRO: Special Edition on Machine Learning Acceleration

Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training

Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David Nellans, Puneet Gupta

arXiv

GPU Snapshot: Checkpoint Offloading for GPU-Dense Systems

Kyushick Lee, Michael B. Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez

International Conference on Supercomputing

On the Trend of Resilience for GPU-Dense Systems

Kyushick Lee, Michael B. Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez

International Conference on Dependable Systems and Networks, Supplemental (DSN-…

Best of SELSE (Workshop on Silicon Errors in Logic - System Effects)

Translation Ranger: Operating System Support for Contiguity-Aware TLBs

Zi Yan, Daniel Lustig, David Nellans, Abhishek Bhattacharjee

International Symposium on Computer Architecture (ISCA)

Adaptive Memory-Side Last-Level GPU Caching

Xia Zhao, Almutaz Adileh, Zhibin Yu, Zhiying Wang, Aamer Jaleel, Lieven Eeckhout

International Symposium on Computer Architecture (ISCA)

SNAP: A 1.67 – 21.55 TOPS/W Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference in 16nm CMOS

Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Steve Keckler, Zhengya Zhang

Symposia on VLSI Technology and Circuits (VLSI)

Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs

Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David Nellans, Stephen W. Keckler

arXiv

Security Verification through Automatic Hardware-Aware Exploit Synthesis: The CheckMate Approach.

Caroline Trippel, Daniel Lustig, Margaret Martonosi

IEEE Micro (Issue: Top Picks of the 2018 Computer Architecture Conferences)

A Formal Analysis of the NVIDIA PTX Memory Consistency Model.

Daniel Lustig, Sameer Sahasrabuddhe, Olivier Giroux

International Conference on Architectural Support for Programming Languages and…

IEEE Micro Top Picks in Computer Architecture (Honorable Mention)

Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration

Michael Pellauer, Yakun Sophia Shao, Jason Clemons, Neal Crago, Kartik Hegde, Rangharajan Venkatesan, Steve Keckler, Christopher W. Fletcher, Joel Emer

International Conference on Architectural Support for Programming Languages and…

IEEE Micro Top Picks in Computer Architecture (Honorable Mention)

Nimble Page Management for Tiered Memory Systems

Zi Yan, Daniel Lustig, David Nellans, Abhishek Bhattacharjee

International Conference on Architectural Support for Programming Languages and…

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez

arXiv

On the Trend of Resilience for GPU-Dense Systems

Kyushick Lee, Michael B. Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez

IEEE Workshop on Silicon Errors in Logic – System Effects (SELSE)

Award paper

Towards Analytically Evaluating the Error Resilience of GPU Programs

Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Siva Hari, Michael B. Sullivan, Timothy Tsai

IEEE Workshop on Silicon Errors in Logic – System Effects (SELSE)

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

Sankug Lym, Donghyuk Lee, Niladrish Chatterjee, Mike O'Connor, Mattan Erez

International Symposium on Performance Analysis of Systems and Software (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, Steve Keckler, Joel Emer

International Symposium on Performance Analysis of Systems and Software (ISPASS)

DUCATI: High-performance Address Translation by Extending TLB Reach of GPU-accelerated Systems

Aamer Jaleel, Eiman Ebrahimi, Sam Duncan

ACM Transactions on Architecture and Code Optimization (TACO)

Understanding the Future of Energy Efficiency in Multi-Module GPUs.

Akhil Arunkumar, Evgeny Bolotin, David Nellans, Carole-Jean Wu

International Symposium on High Performance Computer Architecture (HPCA)

2018

Optimizing Software-Directed Instruction Replication for GPU Error Detection

Abdulrahman Mahmoud, Siva Hari, Michael B. Sullivan, Timothy Tsai, Steve Keckler

International Conference for High-Performance Computing, Networking, Storage a…

Exploiting Idle Resources in a High-Radix Switch for Supplemental Storage

Matthias Blumrich, Ted Jiang, Larry Dennison

Proceedings of the International Conference for High Performance Computing, Net…

PipeProof: Automated Memory Consistency Proofs for Microarchitectural Specifications

Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi, Aarti Gupta

International Symposium on Microarchitecture (MICRO)

IEEE Micro Top Picks in Computer Architecture (Honorable Mention), Best Paper nominee

SwapCodes: Error Codes for Hardware-Software Cooperative GPU Pipeline Error Detection

Michael B. Sullivan, Siva Hari, Brian Zimmer, Timothy Tsai, Stephen W. Keckler

The International Symposium on Microarchitecture (MICRO)

Combining HW/SW Mechanisms to Improve NUMA Performance of Multi-GPU Systems

Vinson Young, Aamer Jaleel, Evgeny Bolotin, Eiman Ebrahimi, David Nellans, Oreste Villa

International Symposium on Microarchitecture (MICRO)

Harmonizing Speculative and Non-Speculative Execution in Architectures for Ordered Parallelism

Mark C. Jeffrey, Victor A. Ying, Suvinay Subramanian, Hyun Ryong Lee, Joel Emer, Daniel Sanchez

International Symposium on Microarchitecture (MICRO)

CheckMate: Automated Synthesis of Hardware Exploits and Security Litmus Tests

Caroline Trippel, Daniel Lustig, Margaret Martonosi

International Symposium on Microarchitecture (MICRO)

IEEE Micro Top Picks in Computer Architecture

DAWG: A Defense Against Cache Timing Attacks in Speculative Execution Processors

Vladimir Kiriansky, Ilia Lebedev, Saman Amarasinghe, Srinivas Devadas, Joel Emer

International Symposium on Microarchitecture (MICRO)

Exposing Memory Access Patterns to Improve Instruction and Memory Efficiency in GPUs

Neal Crago, Mark Stephenson, Steve Keckler

ACM Transactions on Architecture and Code Optimization (TACO)

Software-Directed Techniques for Improved GPU Register File Utilization

Dani Voitsechov, Arslan Zulfiqar, Mark Stephenson, Mark Gebhart, Steve Keckler

ACM Transactions on Architecture and Code Optimization (TACO)

What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study

Saugata Ghose, Abdullah Giray Yağlıkçı, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu

arXiv

Modeling Soft Error Propagation in Programs

Guanpeng Li, Karthik Pattabiraman, Siva Hari, Michael B. Sullivan, Timothy Tsai

International Conference on Dependable Systems and Networks (DSN)

A Modular Digital VLSI Flow for High-Productivity SoC Design

Brucek Khailany, Evgeni Krimer, Rangharajan Venkatesan, Jason Clemons, Joel Emer, Matt Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Pinckney, Sophia Shao, Shreesha Srinath, Christopher Torng, Sam (Likun) Xi, Yanqing Zhang, Brian Zimmer

Design Automation Conference (DAC)

What Your DRAM Power Models Aren’t Telling You: Lessons from a Detailed Experimental Study

Saugata Ghose, Abdullah Giray Yağlıkçı, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu

ACM International Conference on Measurement and Analysis of Computer Systems (S…

A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap to Enhance Memory Optimization

Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu

International Symposium on Computer Architecture (ISCA)

UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition

Kartik Hegde, Jiyong Yu, Rohit Agrawal, Mengjia Yan, Michael Pellauer, Christopher W. Fletcher

International Symposium on Computer Architecture (ISCA)

The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs

Nandita Vijayumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu

International Symposium on Computer Architecture (ISCA)

ACCORD: Enabling Associativity for Gigascale DRAM Caches by Coordinating Way-Install and Way-Prediction

Vinson Young, Chiachen Chou, Aamer Jaleel, Moinuddin Qureshi

International Symposium on Computer Architecture (ISCA)

Full-Stack Memory Model Verification with TriCheck

Caroline Trippel, Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi

IEEE Micro (Issue: Top Picks of the 2017 Computer Architecture Conferences)

Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency

Kevin K. Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu

arXiv

DUO: Exposing On-chip Redundancy to Rank-Level ECC for High Reliability

Seong-Lyong Gong, Jungrae Kim, Michael B. Sullivan, Howard David, Mattan Erez

International Symposium on High Performance Computer Architecture (HPCA)

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks

Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Steve Keckler

International Symposium on High Performance Computer Architecture (HPCA)

Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction

Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee

International Symposium on High Performance Computer Architecture (HPCA)

Best Paper nominee

Stitch-X: An Accelerator Architecture for Exploiting Unstructured Sparsity in Deep Neural Networks

Ching-En Lee, Yakun Sophia Shao, Jie-Fang Zhang, Angshuman Parashar, Joel Emer, Steve Keckler, Zhengya Zhang

SysML Conference

MeltdownPrime and SpectrePrime: Automatically-Synthesized Attacks Exploiting Invalidation-Based Coherence Protocols

Caroline Trippel, Daniel Lustig, Margaret Martonosi

arXiv

2017

Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs

Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh

International Conference for High-Performance Computing, Networking, Storage, a…

Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications

Guanpeng Li, Siva Hari, Michael B. Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel Emer, Steve Keckler

The International Conference for High Performance Computing, Networking, Storag…

Fine-Grained DRAM: Energy-Efficient DRAM for Extreme Bandwidth Systems

Mike O'Connor, Niladrish Chatterjee, Donghyuk Lee, John Wilson, Aditya Agrawal, Steve Keckler, William Dally

International Symposium on Microarchitecture (MICRO)

Ambit: In-Memory Accelerator for Bulk Bitwise Operations Using Commodity DRAM Technology

Vivek Seshadri, Donghyuk Lee, Thomas Mullins, Hasan Hassan, Amirali Boroumand, Jeremie Kim, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry

International Symposium on Microarchitecture (MICRO)

Detecting and Mitigating Data-Dependent DRAM Failures by Exploiting Current Memory Content

Samira Khan, Chris Wilkerson, Zhe Wang, Alaa R. Alameldeen, Donghyuk Lee, Onur Mutlu

International Symposium on Microarchitecture (MICRO)

Xylem: Enhancing Vertical Thermal Conduction in 3D Processor-Memory Stacks

Aditya Agrawal, Josep Torrellas, Sachin Idgunji

International Symposium on Microarchitecture (MICRO)

RTLCheck: Verifying Memory Consistency in RTL Designs

Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi, Michael Pellauer

International Symposium on Microarchitecture (MICRO)

IEEE Micro Top Picks in Computer Architecture (Honorable Mention)

Beyond the Socket: NUMA-Aware GPUs

Ugljesa Milic, Oreste Villa, Evgeny Bolotin, Akhil Arunkumar, Eiman Ebrahimi, Aamer Jaleel, Alex Ramirez, David Nellans

International Symposium on Microarchitecture (MICRO)

Weak Memory Models with Matching Axiomatic and Operational Definitions

Sizhuo Zhang, Muralidaran Vijayaraghavan, Daniel Lustig, Arvind

arXiv

BATMAN: Maximizing Bandwidth Utilization of Hybrid Memory Systems

Chiachen Chou, Aamer Jaleel, Moinuddin Qureshi

International Symposium on Memory Systems (MEMSYS)

SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks

Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Steve Keckler, William Dally

International Symposium on Computer Architecture (ISCA)

MCM-GPU: Multi-Chip-Module GPUs for Continued Performance Scalability

Akhil Arunkumar , Evgeny Bolotin, Benjamin Cho, Ugljesa Milic , Eiman Ebrahimi, Oreste Villa, Aamer Jaleel, Carole-Jean Wu , David Nellans

International Symposium on Computer Architecture (ISCA)

Fractal: An Execution Model for Fine-Grain Nested Speculative Parallelism

Suvinay Subramanian, Mark C. Jeffrey, Maleen Abeydeera, Hyun Ryong Lee, Victor A. Ying, Joel Emer, Daniel Sanchez

International Symposium on Computer Architecture (ISCA)

Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms

Donghyuk Lee, Samira Khan, Lavanya Subramanian, Saugata Ghose, Rachata Ausavarungnirun, Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu

ACM Conference on Measurement and Analysis of Computer Systems (SIGMETRICS 2017)

Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms

Kevin Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu

ACM Conference on Measurement and Analysis of Computer Systems (SIGMETRICS 2017)

Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms

Kevin K. Chang, Abdullah Giray Yağlıkçı, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu

arXiv

SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks

Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel Emer, Steve Keckler, William Dally

arXiv

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks

Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler

arXiv

SASSIFI: An Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation

Siva Hari, Timothy Tsai, Mark Stephenson, Steve Keckler, Joel Emer

International Symposium on Performance Analysis of Systems and Software (ISPASS)

TriCheck: Memory Model Verification at the Trisection of Software, Hardware, and ISA

Caroline Trippel, Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi

International Conference on Architectural Support for Programming Languages and…

IEEE Micro Top Picks in Computer Architecture

Automated Synthesis of Comprehensive Memory Model Litmus Test Suites

Daniel Lustig, Andrew Wright, Alexandros Papakonstantinou, Olivier Giroux

International Conference on Architectural Support for Programming Languages and…

Architecting an Energy-Efficient DRAM System for GPUs

Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel Johnson, Minsoo Rhu, Steve Keckler, William Dally

International Symposium on High Performance Computer Architecture (HPCA)

SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies

Hasan Hassan, Nandita Vijaykumar, Samira Khan, Saugata Ghose, Kevin Chang, Gennady Pekhimenko, Donghyuk Lee, Oguz Ergin, Onur Mutlu

International Symposium on High Performance Computer Architecture (HPCA)

2016

Counterexamples and Proof Loophole for the C/C++ to POWER and ARMv7 Trailing-Sync Compiler Mappings

Yatin A. Manerkar, Caroline Trippel, Daniel Lustig, Michael Pellauer, Margaret Martonosi

arXiv

CANDY: Enabling Coherent DRAM Caches for Multi-Node Systems

Chiachen Chou, Aamer Jaleel, Moinuddin Qureshi

International Symposium on Microarchitecture (MICRO)

Snatch: Opportunistically Reassigning Power Allocation between Processor and Memory in 3D Stacks

Dimitrios Skarlatos, Renji Thomas, Aditya Agrawal, Shibin Qin, Robert Pilawa-Podgurski, Ulya R. Karpuzcu, Radu Teodorescu, Nam Sung Kim, Josep Torrellas

International Symposium on Microarchitecture (MICRO)

Co-Designing Accelerators and SoC Interfaces Using gem5-Aladdin

Yakun Sophia Zhao, Sam (Likun) Xi, Vijayalakshmi Srinivasan, Gu-Yeon Wei, David Brooks

International Symposium on Microarchitecture (MICRO)

A Patch Memory System For Image Processing and Computer Vision.

Jason Clemons, Chih-Chi Cheng, Iuri Frosio, Daniel Johnson, Steve Keckler

International Symposium on Microarchitecture (MICRO)

Approxilyzer: Towards A Systematic Framework for Instruction-Level Approximate Computing and its Application to Hardware Resiliency

Radha Venkatagiri, Abdulrahman Mahmoud, Siva Hari, Sarita Adve

International Symposium on Microarchitecture (MICRO)

The Bunker Cache for Spatio-Value Approximation

Joshua San Miguel, Jorge Albericio, Aamer Jaleel, Natalie Enright Jerger

International Symposium on Microarchitecture (MICRO)

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design.

Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Steve Keckler

International Symposium on Microarchitecture (MICRO)

Data-Centric Execution of Speculative Parallel Programs

Mark C. Jeffrey, Suvinay Subramanian, Maleen Abeydeera, Joel Emer, Daniel Sanchez

International Symposium on Microarchitecture (MICRO)

CLARA: Circular Linked-List Auto- and Self-Refresh Architecture

Aditya Agrawal, Mike O'Connor, Evgeny Bolotin, Niladrish Chatterjee, Joel Emer, Steve Keckler

International Symposium on Memory Systems (MEMSYS'16)

Automatically Exploiting Implicit Pipeline Parallelism from Multiple Dependent Kernels for GPUs

Gwangsun Kim, Jiyun Jeong, John Kim, Mark Stephenson

International Conference on Parallel Architectures and Compilation (PACT)

TriCheck: Memory Model Verification at the Trisection of Software, Hardware, and ISA

Caroline Trippel, Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi

arXiv

Accelerating Dependent Cache Misses with an Enhanced Memory Controller

Milad Hashemi, Khubaib, Eiman Ebrahimi, Onur Mutlu, Yale N. Patt

International Symposium on Computer Architecture (ISCA)

LAP: Loop-Block Aware Inclusion Properties for Energy-Efficient Asymmetric Last Level Caches

Hsiang-Yun Cheng, Jishen Zhao, Jack Sampson, Mary Jane Irwin, Aamer Jaleel, Yu Lu, Yuan Xie

International Symposium on Computer Architecture (ISCA)

Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems

Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Steve Keckler

International Symposium on Computer Architecture (ISCA)

Bit-Plane Compression: Transforming Data for Better Compression in Many-core Architectures

Jungrae Kim, Michael B. Sullivan, Esha Choukse, Mattan Erez

The International Symposium on Computer Architecture (ISCA)

Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks

Yu-Hsin Chen, Joel Emer, Vivienne Sze

International Symposium on Computer Architecture (ISCA)

EIE: Efficient Inference Engine on Compressed Deep Neural Network

Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, William Dally

International Symposium on Computer Architecture (ISCA)

All-Inclusive ECC: Thorough End-to-End Protection for Reliable Computer Memory

Jungrae Kim, Michael B. Sullivan, Sangkug Lym, Mattan Erez

The International Symposium on Computer Architecture (ISCA)

A Real-time Energy-Efficient Superpixel Hardware Accelerator for Mobile Computer Vision Applications

Injoon Hong, Jason Clemons, Rangharajan Venkatesan, Iuri Frosio, Brucek Khailany, Steve Keckler

Design Automation Conference (DAC)

Selective GPU Caches to Eliminate CPU-GPU HW Cache Coherence

Neha Agarwal, David Nellans, Eiman Ebrahimi, Thomas F. Wenisch, John Danskin, Steve Keckler

International Symposium on High Performance Computer Architecture (HPCA)

A Case for Toggle-Aware Compression for GPU Systems

Gennady Pekhimenko, Evgeny Bolotin, Nandita Vijaykumar, Onur Mutlu, Todd C. Mowry, Steve Keckler

International Symposium on High Performance Computer Architecture (HPCA)

Towards High Performance Paged Memory for GPUs

Tianhao Zheng, David Nellans, Arslan Zulfiqar, Mark Stephenson, Steve Keckler

International Symposium on High Performance Computer Architecture (HPCA)

An Analytical Model for Hardened Latch Selection and Exploration

Michael B. Sullivan, Brian Zimmer, Siva Hari, Timothy Tsai, Steve Keckler

Workshop on Silicon Errors in Logic--System Effects (SELSE)

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Steve Keckler

arXiv

2015

A Fast and Accurate Analytical Technique to Compute the AVF of Sequential Bits in a Processor

Steve Raasch, Arijis Biswas, Jon Stephan, Paul Racunas, Joel Emer

International Symposium on Microarchitecture (MICRO)

CCICheck: Using μhb Graphs to Verify the Coherence-Consistency Interface

Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi

International Symposium on Microarchitecture (MICRO)

A Scalable Architecture for Ordered Parallelism

Mark C. Jeffery, Suvinay Subramanian, Cong Yang, Joel Emer, Daniel Sanchez

International Symposium on Microarchitecture (MICRO)

Exploiting Asymmetry in Booth-Encoded Multipliers for Reduced Energy Multiplication

Mike O'Connor, Earl Swartzlander, Jr.

49th Asilomar Conference on Signals, Systems, and Computers

Anatomy of GPU Memory System for Multi-Application Execution

Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Steve Keckler, Mahmut T. Kandemir, Chita R. Das

International Symposium on Memory Systems (MEMSYS)

GPU Computing Pipeline Inefficiencies and Optimization Opportunities in Heterogeneous CPU-GPU Processors

Joel Hestness, Steve Keckler, David A. Wood

International Symposium on Workload Characterization (IISWC)

Scavenger: Automating the Construction of Application-Optimized Memory Hierarchies

Hsin-Jung Yang, Kermin Fleming, Michael Adler, Felix Winterstein, Joel Emer

International Conference on Field Programmable Logic and Applications (FPL)

Efficient Control and Communication Paradigms for Coarse-Grained Spatial Architectures

Michael Pellauer, Angshuman Parashar, Michael Adler, Bushra Ahsan, Randy Almon, Neal Crago, Kermin Fleming, Mohit Gambhir, Aamer Jaleel, Tushar Krishna, Daniel Lustig, Stephen Maresh, Vladimir Pavlov, Rachid Rayess, Antonia Zhai, Joel Emer

ACM Transactions on Computing Systems (TOCS)

MemcachedGPU: Scaling-up Scale-out Key-value Stores

Tayler Hetherington, Mike O'Connor, Tor Aamodt

Sixth ACM Symposium on Cloud Computing (SoCC '15)

Designing Efficient Heterogeneous Memory Architectures

Evgeny Bolotin, David Nellans, Oreste Villa, Mike O'Connor, Alex Ramirez, Steve Keckler, Mike O'Connor

IEEE Micro

A Variable Warp Size Architecture

Timothy Rogers, Daniel Johnson, Mike O'Connor, Steve Keckler

International Symposium on Computer Architecture (ISCA)

Flexible Software Profiling of GPU Architectures

Mark Stephenson, Siva Hari, Yunsup Lee, Eiman Ebrahimi, Daniel Johnson, David Nellans, Mike O'Connor, Steve Keckler

International Symposium on Computer Architecture (ISCA)

Locality-Driven Dynamic GPU Cache Bypassing

Chao Li, Shuaiwen Leon Song, Hongwen Dai, Siva Hari, Albert Sidelnik, Huiyang Zhou

International Conference on Supercomputing (ICS)

Toggle-aware Compression for GPUs

Gennady Pekhimenko, Evgeny Bolotin, Mike O'Connor, Onur Mutlu, Todd C. Mowry, Steve Keckler

IEEE Computer Architecture Letters ( Volume: 14, Issue: 2, July-Dec. 1 2015 )

SASSIFI: Evaluating Resilience of GPU Applications

Siva Hari, Timothy Tsai, Mark Stephenson, Steve Keckler, Joel Emer

Workshop on Silicon Errors in Logic - System Effects (SELSE-11)

In-Memory Graph Databases for Web-Scale Data

Vito Giovanni Castellana, Alessandro Morari, Jesse Weaver, Antonino Time, David Haglin, Oreste Villa, John Feo

IEEE Computer

Page Placement Strategies for GPUs within Heterogeneous Memory Systems

Neha Agarwal, David Nellans, Mark Stephenson, Mike O'Connor, Steve Keckler

International Conference on Architectural Support for Programming Languages and…

High Performing Cache Hierarchies for Server Workloads -- Relaxing Inclusion to Capture the Latency Benefits of Exclusive Caches

Aamer Jaleel, Joseph Nuzman, Adrian Moga, Simon C. Steely Jr., Joel Emer

International Symposium on High Performance Computer Architecture (HPCA)

Unlocking Bandwidth for GPUs in CC-NUMA systems

Neha Agarwal, David Nellans, Mike O'Connor, Steve Keckler, Thomas Wenisch

International Symposium on High Performance Computer Architecture (HPCA)

Priority-Based Cache Allocation in Throughput Processors

Dong Li, Minsoo Rhu, Daniel Johnson, Mike O'Connor, Mattan Erez, Donald Fussell, Steve Keckler

International Symposium on High Performance Computer Architecture (HPCA)

2014

Arbitrary Modulus Indexing

Jeffrey R. Diamond, Donald S. Fussell, Steve Keckler

International Symposium on Microarchitecture (MICRO)

Exploring the Design Space of SPMD Divergence Management on Data-Parallel Architectures

Yunsup Lee, Vinod Grover, Ronny Krashinsky, Mark Stephenson, Steve Keckler, Krste Asanovic

International Symposium on Microarchitecture (MICRO)

Scaling the Power Wall: A Path to Exascale

Oreste Villa, Daniel Johnson, Mike O'Connor, Evgeny Bolotin, David Nellans, Justin Luitjens, Nikolai Sakharnykh, Peng Wang, Paulius Micikevicius, Anthony Scudiero, Steve Keckler, William Dally

SC '14

A Comparative Analysis of Microarchitecture Effects on CPU and GPU Memory System Behavior

Joel Hestness, Steve Keckler, David A. Wood

International Symposium on Workload Characterization (IISWC)

Scaling Irregular Applications through Data Aggregation and Software Multithreading

Alessandro Morari, Antonino Tumeo, Daniel Chavarria-Miranda, Oreste Villa, Mateo Valero

International Parallel and Distributed Processing Symposium (IPDPS)

Measuring the Radiation Reliability of SRAM Structures in GPUs Designed for HPC

Paolo Rech, Luigi Carro, Nicholas Wang, Timothy Tsai, Siva Hari, Steve Keckler

Workshop on Silicon Errors in Logic - System Effects (SELSE-10)

Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications

Adwait Jog, Evgeny Bolotin, Zvika Guz, Mike Parker, Steve Keckler, Mahmut T. Kandemir, Chita R. Das