| OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance A Jog, O Kayiran, NC Nachiappan, AK Mishra, MT Kandemir, O Mutlu, ... In the Proceedings of ASPLOS-2013, 18th International Conference on …, 2013 | 368 | 2013 |
| Cache Revive: Architecting Volatile STT-RAM Caches for Enhanced Performance in CMPs A Jog, AK Mishra, C Xu, Y Xie, V Narayanan, R Iyer, CR Das In the Proceedings of DAC-2012, 49th Design Automation Conference (DAC), 243 …, 2012 | 350 | 2012 |
| Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs O Kayiran, A Jog, MT Kandemir, CR Das In the Proceedings of PACT-2013, 22nd International Conference on Parallel …, 2013 | 331 | 2013 |
| Orchestrated Scheduling and Prefetching for GPGPUs A Jog, O Kayiran, AK Mishra, MT Kandemir, O Mutlu, R Iyer, CR Das In the Proceedings of ISCA-2013, 40th International Symposium on Computer …, 2013 | 246 | 2013 |
| Scheduling techniques for GPU architectures with processing-in-memory capabilities A Pattnaik, X Tang, A Jog, O Kayiran, AK Mishra, MT Kandemir, O Mutlu, ... Proceedings of the 2016 International Conference on Parallel Architectures …, 2016 | 227 | 2016 |
| Managing GPU Concurrency in Heterogeneous Architectures O Kayıran, NC Nachiappan, A Jog, R Ausavarungnirun, MT Kandemir, ... In the Proceedings of MICRO-2014, 47th International Conference on …, 2014 | 172 | 2014 |
| A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps N Vijaykumar, G Pekhimenko, A Jog, A Bhowmick, R Ausavarungnirun, ... ACM SIGARCH Computer Architecture News 43 (3S), 41-53, 2015 | 127 | 2015 |
| Mask: Redesigning the GPU Memory Hierarchy to Support Multi-application Concurrency R Ausavarungnirun, V Miller, J Landgraf, S Ghose, J Gandhi, A Jog, ... ASPLOS 2019 53 (2), 503-518, 2018 | 107 | 2018 |
| Anatomy of GPU Memory System for Multi-Application Execution A Jog, O Kayiran, T Kesten, A Pattnaik, E Bolotin, N Chatterjee, ... In the Proceedings of 1st International Symposium on Memory Systems (MEMSYS), 2015 | 107 | 2015 |
| Zorua: A holistic approach to resource virtualization in GPUs N Vijaykumar, K Hsieh, G Pekhimenko, S Khan, A Shrestha, S Ghose, ... 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 81 | 2016 |
| Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications A Jog, E Bolotin, Z Guz, M Parker, SW Keckler, MT Kandemir, CR Das In the Proceedings of GPGPU-2014, co-located with ASPLOS-2014, 2014 | 80 | 2014 |
| Exploiting core criticality for enhanced GPU performance A Jog, O Kayiran, A Pattnaik, MT Kandemir, O Mutlu, R Iyer, CR Das Proceedings of the 2016 ACM SIGMETRICS International Conference on …, 2016 | 62 | 2016 |
| Controlled Kernel Launch for Dynamic Parallelism in GPUs X Tang, A Pattnaik, H Jiang, O Kayiran, A Jog, S Pai, M Ibrahim, ... 2017 IEEE International Symposium on High Performance Computer Architecture …, 2017 | 60 | 2017 |
| Opportunistic Computing in GPU Architectures A Pattnaik, X Tang, O Kayiran, A Jog, A Mishra, MT Kandemir, ... Proceedings of the 46th International Symposium on Computer Architecture …, 2019 | 51 | 2019 |
| Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management H Wang, F Luo, M Ibrahim, O Kayiran, A Jog 2018 IEEE International Symposium on High Performance Computer Architecture …, 2018 | 50 | 2018 |
| Fault Site Pruning for Practical Reliability Analysis of GPGPU Applications B Nie, L Yang, A Jog, E Smirni IEEE/ACM International Symposium on Microarchitecture (MICRO) 2018, 2018 | 48 | 2018 |
| μC-States: Fine-grained GPU datapath power management O Kayiran, A Jog, A Pattnaik, R Ausavarungnirun, X Tang, MT Kandemir, ... Proceedings of the 2016 International Conference on Parallel Architectures …, 2016 | 48 | 2016 |
| RCoal: Mitigating GPU Timing Attack via Subwarp-based Randomized Coalescing Techniques G Kadam, D Zhang, A Jog High Performance Computer Architecture (HPCA), 2018 IEEE International …, 2018 | 41 | 2018 |
| Practical resilience analysis of gpgpu applications in the presence of single-and multi-bit faults L Yang, B Nie, A Jog, E Smirni IEEE Transactions on Computers 70 (1), 30-44, 2020 | 26 | 2020 |
| Why GPUs are Slow at Executing NFAs and How to Make them Faster H Liu, S Pai, A Jog Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020 | 25 | 2020 |
Chita R. DasPenn State UniversityVerified email at cse.psu.edu
