Cache revive: architecting volatile STT-RAM caches for enhanced performance in CMPs. - Adwait Jog; Asit K. Mishra; Cong Xu 002; Yuan Xie 001; Vijaykrishnan Narayanan; Ravishankar R. Iyer 001; Chita R. Das (DAC, 2012)

Neither more nor less: Optimizing thread-level parallelism for GPGPUs. - Onur Kayiran; Adwait Jog; Mahmut T. Kandemir; Chita R. Das (PACT, 2013)

OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance. - Adwait Jog; Onur Kayiran; Nachiappan Chidambaram Nachiappan; Asit K. Mishra; Mahmut T. Kandemir; Onur Mutlu; Ravishankar R. Iyer 001; Chita R. Das (ASPLOS, 2013)

Orchestrated scheduling and prefetching for GPGPUs. - Adwait Jog; Onur Kayiran; Asit K. Mishra; Mahmut T. Kandemir; Onur Mutlu; Ravishankar R. Iyer 001; Chita R. Das (ISCA, 2013)

Trading cache hit rate for memory performance. - Wei Ding 008; Mahmut T. Kandemir; Diana R. Guttman; Adwait Jog; Chita R. Das; Praveen Yedlapalli (PACT, 2014)

Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications. - Adwait Jog; Evgeny Bolotin; Zvika Guz; Mike Parker; Stephen W. Keckler; Mahmut T. Kandemir; Chita R. Das (GPGPU@ASPLOS, 2014)

Managing GPU Concurrency in Heterogeneous Architectures. - Onur Kayiran; Nachiappan Chidambaram Nachiappan; Adwait Jog; Rachata Ausavarungnirun; Mahmut T. Kandemir; Gabriel H. Loh; Onur Mutlu; Chita R. Das (MICRO, 2014)

A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps. - Nandita Vijaykumar; Gennady Pekhimenko; Adwait Jog; Abhishek Bhowmick 002; Rachata Ausavarungnirun; Chita R. Das; Mahmut T. Kandemir; Todd C. Mowry; Onur Mutlu (ISCA, 2015)

Anatomy of GPU Memory System for Multi-Application Execution. - Adwait Jog; Onur Kayiran; Tuba Kesten; Ashutosh Pattnaik; Evgeny Bolotin; Niladrish Chatterjee; Stephen W. Keckler; Mahmut T. Kandemir; Chita R. Das (MEMSYS, 2015)

μC-States: Fine-grained GPU Datapath Power Management. - Onur Kayiran; Adwait Jog; Ashutosh Pattnaik; Rachata Ausavarungnirun; Xulong Tang; Mahmut T. Kandemir; Gabriel H. Loh; Onur Mutlu; Chita R. Das (PACT, 2016)

Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities. - Ashutosh Pattnaik; Xulong Tang; Adwait Jog; Onur Kayiran; Asit K. Mishra; Mahmut T. Kandemir; Onur Mutlu; Chita R. Das (PACT, 2016)

Characterization of quantum workloads on SIMD architectures. - Robert Risque; Adwait Jog (IISWC, 2016)

Zorua: A holistic approach to resource virtualization in GPUs. - Nandita Vijaykumar; Kevin Hsieh; Gennady Pekhimenko; Samira Manabi Khan; Ashish Shrestha; Saugata Ghose; Adwait Jog; Phillip B. Gibbons; Onur Mutlu (MICRO, 2016)

Exploiting Core Criticality for Enhanced GPU Performance. - Adwait Jog; Onur Kayiran; Ashutosh Pattnaik; Mahmut T. Kandemir; Onur Mutlu; Ravishankar R. Iyer 001; Chita R. Das (SIGMETRICS, 2016)

A Framework for Accelerating Bottlenecks in GPU Execution with Assist Warps. - Nandita Vijaykumar; Gennady Pekhimenko; Adwait Jog; Saugata Ghose; Abhishek Bhowmick 002; Rachata Ausavarungnirun; Chita R. Das; Mahmut T. Kandemir; Todd C. Mowry; Onur Mutlu (CoRR, 2016)

Controlled Kernel Launch for Dynamic Parallelism in GPUs. - Xulong Tang; Ashutosh Pattnaik; Huaipan Jiang; Onur Kayiran; Adwait Jog; Sreepathi Pai; Mohamed Assem Ibrahim; Mahmut T. Kandemir; Chita R. Das (HPCA, 2017)

Architecting SOT-RAM Based GPU Register File. - Sparsh Mittal; Rajendra Bishnoi; Fabian Oboril; Haonan Wang; Mehdi Baradaran Tahoori; Adwait Jog; Jeffrey S. Vetter (ISVLSI, 2017)

Design and Analysis of Soft-Error Resilience Mechanisms for GPU Register File. - Sparsh Mittal; Haonan Wang; Adwait Jog; Jeffrey S. Vetter (VLSID, 2017)

Improving Multi-Application Concurrency Support Within the GPU Memory System. - Rachata Ausavarungnirun; Christopher J. Rossbach; Vance Miller; Joshua Landgraf; Saugata Ghose; Jayneel Gandhi; Adwait Jog; Onur Mutlu (CoRR, 2017)

MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency. - Rachata Ausavarungnirun; Vance Miller; Joshua Landgraf; Saugata Ghose; Jayneel Gandhi; Adwait Jog; Christopher J. Rossbach; Onur Mutlu (ASPLOS, 2018)

RCoal: Mitigating GPU Timing Attack via Subwarp-Based Randomized Coalescing Techniques. - Gurunath Kadam; Danfeng Zhang; Adwait Jog (HPCA, 2018)

Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management. - Haonan Wang; Fan Luo; Mohamed Assem Ibrahim; Onur Kayiran; Adwait Jog (HPCA, 2018)

Architectural Support for Efficient Large-Scale Automata Processing. - Hongyuan Liu 002; Mohamed Assem Ibrahim; Onur Kayiran; Sreepathi Pai; Adwait Jog (MICRO, 2018)

Fault Site Pruning for Practical Reliability Analysis of GPGPU Applications. - Bin Nie; Lishan Yang; Adwait Jog; Evgenia Smirni (MICRO, 2018)

Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance. - Nandita Vijaykumar; Kevin Hsieh; Gennady Pekhimenko; Samira Manabi Khan; Ashish Shrestha; Saugata Ghose; Adwait Jog; Phillip B. Gibbons; Onur Mutlu (CoRR, 2018)

Quantifying Data Locality in Dynamic Parallelism in GPUs. - Xulong Tang; Ashutosh Pattnaik; Onur Kayiran; Adwait Jog; Mahmut Taylan Kandemir; Chita R. Das (Proc. ACM Meas. Anal. Comput. Syst., 2018)

Analyzing and Leveraging Remote-Core Bandwidth for Enhanced Performance in GPUs. - Mohamed Assem Ibrahim; Hongyuan Liu 002; Onur Kayiran; Adwait Jog (PACT, 2019)

Exploiting Latency and Error Tolerance of GPGPU Applications for an Energy-Efficient DRAM. - Haonan Wang; Adwait Jog (DSN, 2019)

Address-stride assisted approximate load value prediction in GPUs. - Haonan Wang; Mohamed Assem Ibrahim; Sparsh Mittal; Adwait Jog (ICS, 2019)

Opportunistic computing in GPU architectures. - Ashutosh Pattnaik; Xulong Tang; Onur Kayiran; Adwait Jog; Asit K. Mishra; Mahmut T. Kandemir; Anand Sivasubramaniam; Chita R. Das (ISCA, 2019)

Analyzing and Leveraging Shared L1 Caches in GPUs. - Mohamed Assem Ibrahim; Onur Kayiran; Yasuko Eckert; Gabriel H. Loh; Adwait Jog (PACT, 2020)

Why GPUs are Slow at Executing NFAs and How to Make them Faster. - Hongyuan Liu 002; Sreepathi Pai; Adwait Jog (ASPLOS, 2020)

Characterizing Accuracy-Aware Resilience of GPGPU Applications. - Bin Nie; Adwait Jog; Evgenia Smirni (CCGRID, 2020)

BCoal: Bucketing-Based Memory Coalescing for Efficient and Secure GPUs. - Gurunath Kadam; Danfeng Zhang; Adwait Jog (HPCA, 2020)

Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. - Hongyuan Liu 002; Bogdan Nicolae; Sheng Di; Franck Cappello; Adwait Jog (CLUSTER, 2021)

Data-centric Reliability Management in GPUs. - Gurunath Kadam; Evgenia Smirni; Adwait Jog (DSN, 2021)

Analyzing and Leveraging Decoupled L1 Caches in GPUs. - Mohamed Assem Ibrahim; Onur Kayiran; Yasuko Eckert; Gabriel H. Loh; Adwait Jog (HPCA, 2021)

Enabling Software Resilience in GPGPU Applications via Partial Thread Protection. - Lishan Yang; Bin Nie; Adwait Jog; Evgenia Smirni (ICSE, 2021)

SUGAR: Speeding Up GPGPU Application Resilience Estimation with Input Sizing. - Lishan Yang; Bin Nie; Adwait Jog; Evgenia Smirni (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Practical Resilience Analysis of GPGPU Applications in the Presence of Single- and Multi-Bit Faults. - Lishan Yang; Bin Nie; Adwait Jog; Evgenia Smirni (IEEE Trans. Computers, 2021)

Improving GPU Throughput through Parallel Execution Using Tensor Cores and CUDA Cores. - Khoa Ho; Hui Zhao 013; Adwait Jog; Saraju P. Mohanty (ISVLSI, 2022)

Optimizing CPU Performance for Recommendation Systems At-Scale. - Rishabh Jain; Scott Cheng; Vishwas Kalagi; Vrushabh Sanghavi; Samvit Kaul; Meena Arunachalam; Kiwan Maeng; Adwait Jog; Anand Sivasubramaniam; Mahmut Taylan Kandemir; Chita R. Das (ISCA, 2023)

A Regression-based Model for End-to-End Latency Prediction for DNN Execution on GPUs. - Ying Li 049; Yifan Sun 002; Adwait Jog (ISPASS, 2023)

Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads. - Ying Li 049; Yifan Sun 002; Adwait Jog (MICRO, 2023)

Asynchronous Automata Processing on GPUs. - Hongyuan Liu 002; Sreepathi Pai; Adwait Jog (Proc. ACM Meas. Anal. Comput. Syst., 2023)

GPU Reliability Assessment: Insights Across the Abstraction Layers. - Lishan Yang; George Papadimitriou 001; Dimitris Sartzetakis; Adwait Jog; Evgenia Smirni; Dimitris Gizopoulos (CLUSTER, 2024)

Probing Weaknesses in GPU Reliability Assessment: A Cross-Layer Approach. - Lishan Yang; George Papadimitriou 001; Dimitrios Sartzetakis; Adwait Jog; Evgenia Smirni; Dimitris Gizopoulos (ISPASS, 2024)

Aspis: Lightweight Neural Network Protection Against Soft Errors. - Anna Schmedding; Lishan Yang; Adwait Jog; Evgenia Smirni (ISSRE, 2024)

Pushing the Performance Envelope of DNN-based Recommendation Systems Inference on GPUs. - Rishabh Jain; Vivek M. Bhasi; Adwait Jog; Anand Sivasubramaniam; Mahmut T. Kandemir; Chita R. Das (MICRO, 2024)

NetCrafter: Tailoring Network Traffic for Non-Uniform Bandwidth Multi-GPU Systems. - Amel Fatima; Yang Yang; Yifan Sun 002; Rachata Ausavarungnirun; Adwait Jog (ISCA, 2025)

TrioSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems. - Ying Li 049; Yuhui Bao; Gongyu Wang; Xinxin Mei; Pranav Vaid; Anandaroop Ghosh; Adwait Jog; Darius Bunandar; Ajay Joshi; Yifan Sun 002 (ISCA, 2025)

Dissecting Performance Overheads of Confidential Computing on GPU-based Systems. - Yang Yang; Mohammad Sonji; Adwait Jog (ISPASS, 2025)