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ORCIDAdwait Jog
Person information
- affiliation: College of William and Mary, VA, USA
- affiliation (former): Penn State, University Park, USA
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2020 – today
- 2023
[j4]Hongyuan Liu
, Sreepathi Pai, Adwait Jog:
Asynchronous Automata Processing on GPUs. Proc. ACM Meas. Anal. Comput. Syst. 7(1): 27:1-27:27 (2023)- [c40]Rishabh Jain, Scott Cheng, Vishwas Kalagi, Vrushabh Sanghavi, Samvit Kaul, Meena Arunachalam, Kiwan Maeng, Adwait Jog, Anand Sivasubramaniam, Mahmut Taylan Kandemir, Chita R. Das:
Optimizing CPU Performance for Recommendation Systems At-Scale. ISCA 2023: 77:1-77:15 - [c39]Ying Li, Yifan Sun, Adwait Jog:
A Regression-based Model for End-to-End Latency Prediction for DNN Execution on GPUs. ISPASS 2023: 343-345 - [c38]Hongyuan Liu, Sreepathi Pai, Adwait Jog:
Asynchronous Automata Processing on GPUs. SIGMETRICS (Abstracts) 2023: 23-24 - 2022
- [c37]Khoa Ho, Hui Zhao, Adwait Jog, Saraju P. Mohanty:
Improving GPU Throughput through Parallel Execution Using Tensor Cores and CUDA Cores. ISVLSI 2022: 223-228 - 2021
- [j3]Lishan Yang, Bin Nie, Adwait Jog, Evgenia Smirni:
SUGAR: Speeding Up GPGPU Application Resilience Estimation with Input Sizing. Proc. ACM Meas. Anal. Comput. Syst. 5(1): 01:1-01:29 (2021) - [j2]Lishan Yang, Bin Nie, Adwait Jog, Evgenia Smirni:
Practical Resilience Analysis of GPGPU Applications in the Presence of Single- and Multi-Bit Faults. IEEE Trans. Computers 70(1): 30-44 (2021) - [c36]Hongyuan Liu, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog:
Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. CLUSTER 2021: 82-93 - [c35]Gurunath Kadam, Evgenia Smirni, Adwait Jog:
Data-centric Reliability Management in GPUs. DSN 2021: 271-283 - [c34]Mohamed Assem Ibrahim, Onur Kayiran, Yasuko Eckert, Gabriel H. Loh, Adwait Jog:
Analyzing and Leveraging Decoupled L1 Caches in GPUs. HPCA 2021: 467-478 - [c33]Lishan Yang, Bin Nie, Adwait Jog, Evgenia Smirni:
Enabling Software Resilience in GPGPU Applications via Partial Thread Protection. ICSE 2021: 1248-1259 - [c32]Lishan Yang, Bin Nie, Adwait Jog, Evgenia Smirni:
SUGAR: Speeding Up GPGPU Application Resilience Estimation with Input Sizing. SIGMETRICS (Abstracts) 2021: 45-46 - [i4]Lishan Yang, Bin Nie, Adwait Jog, Evgenia Smirni:
Enabling Software Resilience in GPGPU Applications via Partial Thread Protection. CoRR abs/2103.02825 (2021) - 2020
- [c31]Mohamed Assem Ibrahim, Onur Kayiran, Yasuko Eckert, Gabriel H. Loh, Adwait Jog:
Analyzing and Leveraging Shared L1 Caches in GPUs. PACT 2020: 161-173 - [c30]Hongyuan Liu, Sreepathi Pai, Adwait Jog:
Why GPUs are Slow at Executing NFAs and How to Make them Faster. ASPLOS 2020: 251-265 - [c29]Bin Nie, Adwait Jog, Evgenia Smirni:
Characterizing Accuracy-Aware Resilience of GPGPU Applications. CCGRID 2020: 111-120 - [c28]Gurunath Kadam, Danfeng Zhang, Adwait Jog:
BCoal: Bucketing-Based Memory Coalescing for Efficient and Secure GPUs. HPCA 2020: 570-581 - [e2]Adwait Jog, Onur Kayiran, Ashutosh Pattnaik:
GPGPU@PPoPP '20: 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit colocated with 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, California, USA, February 23, 2020. ACM 2020, ISBN 978-1-4503-7025-7 [contents]
2010 – 2019
- 2019
- [c27]Mohamed Assem Ibrahim, Hongyuan Liu, Onur Kayiran, Adwait Jog:
Analyzing and Leveraging Remote-Core Bandwidth for Enhanced Performance in GPUs. PACT 2019: 258-271 - [c26]Haonan Wang, Adwait Jog:
Exploiting Latency and Error Tolerance of GPGPU Applications for an Energy-Efficient DRAM. DSN 2019: 362-374 - [c25]Haonan Wang, Mohamed Assem Ibrahim, Sparsh Mittal, Adwait Jog:
Address-stride assisted approximate load value prediction in GPUs. ICS 2019: 184-194 - [c24]Ashutosh Pattnaik, Xulong Tang, Onur Kayiran, Adwait Jog, Asit K. Mishra, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
Opportunistic computing in GPU architectures. ISCA 2019: 210-223 - [c23]Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut Taylan Kandemir, Chita R. Das:
Quantifying Data Locality in Dynamic Parallelism in GPUs. SIGMETRICS (Abstracts) 2019: 25-26 - [e1]Adwait Jog, Onur Kayiran:
Proceedings of the 12th Workshop on General Purpose Processing Using GPUs, GPGPU@ASPLOS 2019, Providence, RI, USA, April 13, 2019. ACM 2019, ISBN 978-1-4503-6255-9 [contents] - 2018
- [j1]Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut Taylan Kandemir, Chita R. Das:
Quantifying Data Locality in Dynamic Parallelism in GPUs. Proc. ACM Meas. Anal. Comput. Syst. 2(3): 39:1-39:24 (2018) - [c22]Rachata Ausavarungnirun, Vance Miller, Joshua Landgraf, Saugata Ghose, Jayneel Gandhi, Adwait Jog, Christopher J. Rossbach, Onur Mutlu:
MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency. ASPLOS 2018: 503-518 - [c21]Gurunath Kadam, Danfeng Zhang, Adwait Jog:
RCoal: Mitigating GPU Timing Attack via Subwarp-Based Randomized Coalescing Techniques. HPCA 2018: 156-167 - [c20]Haonan Wang, Fan Luo, Mohamed Assem Ibrahim, Onur Kayiran, Adwait Jog:
Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management. HPCA 2018: 247-258 - [c19]Bin Nie, Lishan Yang, Adwait Jog, Evgenia Smirni:
Fault Site Pruning for Practical Reliability Analysis of GPGPU Applications. MICRO 2018: 749-761 - [c18]Hongyuan Liu, Mohamed Assem Ibrahim, Onur Kayiran, Sreepathi Pai, Adwait Jog:
Architectural Support for Efficient Large-Scale Automata Processing. MICRO 2018: 908-920 - [i3]Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu:
Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance. CoRR abs/1805.02498 (2018) - 2017
- [c17]Xulong Tang, Ashutosh Pattnaik, Huaipan Jiang, Onur Kayiran, Adwait Jog, Sreepathi Pai, Mohamed Assem Ibrahim, Mahmut T. Kandemir, Chita R. Das:
Controlled Kernel Launch for Dynamic Parallelism in GPUs. HPCA 2017: 649-660 - [c16]Sparsh Mittal, Rajendra Bishnoi, Fabian Oboril, Haonan Wang, Mehdi Baradaran Tahoori, Adwait Jog, Jeffrey S. Vetter:
Architecting SOT-RAM Based GPU Register File. ISVLSI 2017: 38-44 - [c15]Sparsh Mittal, Haonan Wang, Adwait Jog, Jeffrey S. Vetter:
Design and Analysis of Soft-Error Resilience Mechanisms for GPU Register File. VLSID 2017: 409-414 - [i2]Rachata Ausavarungnirun, Christopher J. Rossbach, Vance Miller, Joshua Landgraf, Saugata Ghose, Jayneel Gandhi, Adwait Jog, Onur Mutlu:
Improving Multi-Application Concurrency Support Within the GPU Memory System. CoRR abs/1708.04911 (2017) - 2016
- [c14]Onur Kayiran, Adwait Jog, Ashutosh Pattnaik, Rachata Ausavarungnirun, Xulong Tang, Mahmut T. Kandemir, Gabriel H. Loh, Onur Mutlu, Chita R. Das:
μC-States: Fine-grained GPU Datapath Power Management. PACT 2016: 17-30 - [c13]Ashutosh Pattnaik, Xulong Tang, Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Chita R. Das:
Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities. PACT 2016: 31-44 - [c12]Robert Risque, Adwait Jog:
Characterization of quantum workloads on SIMD architectures. IISWC 2016: 34-42 - [c11]Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu:
Zorua: A holistic approach to resource virtualization in GPUs. MICRO 2016: 15:1-15:14 - [c10]Adwait Jog, Onur Kayiran, Ashutosh Pattnaik, Mahmut T. Kandemir, Onur Mutlu, Ravishankar R. Iyer, Chita R. Das:
Exploiting Core Criticality for Enhanced GPU Performance. SIGMETRICS 2016: 351-363 - [i1]Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Saugata Ghose, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita R. Das, Mahmut T. Kandemir, Todd C. Mowry, Onur Mutlu:
A Framework for Accelerating Bottlenecks in GPU Execution with Assist Warps. CoRR abs/1602.01348 (2016) - 2015
- [c9]Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Abhishek Bhowmick, Rachata Ausavarungnirun, Chita R. Das, Mahmut T. Kandemir, Todd C. Mowry, Onur Mutlu:
A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps. ISCA 2015: 41-53 - [c8]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: 223-234 - 2014
- [c7]Wei Ding, Mahmut T. Kandemir, Diana R. Guttman, Adwait Jog, Chita R. Das, Praveen Yedlapalli:
Trading cache hit rate for memory performance. PACT 2014: 357-368 - [c6]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: 1 - [c5]Onur Kayiran, Nachiappan Chidambaram Nachiappan, Adwait Jog, Rachata Ausavarungnirun, Mahmut T. Kandemir, Gabriel H. Loh, Onur Mutlu, Chita R. Das:
Managing GPU Concurrency in Heterogeneous Architectures. MICRO 2014: 114-126 - 2013
- [c4]Onur Kayiran, Adwait Jog, Mahmut T. Kandemir, Chita R. Das:
Neither more nor less: Optimizing thread-level parallelism for GPGPUs. PACT 2013: 157-166 - [c3]Adwait Jog, Onur Kayiran, Nachiappan Chidambaram Nachiappan, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar R. Iyer, Chita R. Das:
OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance. ASPLOS 2013: 395-406 - [c2]Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar R. Iyer, Chita R. Das:
Orchestrated scheduling and prefetching for GPGPUs. ISCA 2013: 332-343 - 2012
- [c1]Adwait Jog, Asit K. Mishra, Cong Xu, Yuan Xie, Vijaykrishnan Narayanan, Ravishankar R. Iyer, Chita R. Das:
Cache revive: architecting volatile STT-RAM caches for enhanced performance in CMPs. DAC 2012: 243-252
Coauthor Index
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last updated on 2023-10-01 22:33 CEST by the dblp team
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