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Tor M. Aamodt

Observed names: Aamodt, Tor, Aamodt, Tor M, Aamodt, Tor M., T. Aamodt, T. M. Aamodt, T.M. Aamodt, Tor Aamodt, Tor M Aamodt
Observed institutions: Advanced Micro Devices (Canada), Intel (United States), University of Wisconsin–Madison, University of British Columbia, University of Toronto, Advanced Micro Devices (United States), Stanford University
ORCID: 0000-0003-1161-692X
Observed ORCID: 0000-0003-1161-692X
OpenAlex ID: A5026788167
Analyzing CUDA workloads using a detailed GPU simulator
2009 · Ali Bakhoda, George L. Yuan, et al. · IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · 1,672
Dynamic Warp Formation and Scheduling for Efficient GPU Control Flow
2007 · Wilson W.L. Fung, Ivan Sham, et al. · Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture · 737
Cnvlutin
2016 · Jorge Albericio, Patrick Judd, et al. · ACM SIGARCH Computer Architecture News · 614
GPUWattch
2013 · Jingwen Leng, Tayler Hetherington, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 500
Cache-Conscious Wavefront Scheduling
2012 · Timothy G. Rogers, Mike O'Connor, et al. · Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture · 425
Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling
2020 · Mahmoud Khairy, Zhesheng Shen, et al. · ACM/IEEE International Symposium on Computer Architecture (ISCA) · 374
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Stripes: Bit-serial deep neural network computing
2016 · Patrick Judd, Jorge Albericio, et al. · Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture · 355
Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing
2016 · Jorge Albericio, Patrick Judd, et al. · ACM/IEEE International Symposium on Computer Architecture (ISCA) · 240
Thread block compaction for efficient SIMT control flow
2011 · Wilson W. L. Fung, Tor M. Aamodt · Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings · 191
GPUWattch
2013 · Jingwen Leng, Tayler Hetherington, et al. · ACM SIGARCH Computer Architecture News · 171
Cache coherence for GPU architectures
2013 · I. Singh, A. Shriraman, et al. · Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings · 163
Throughput-Effective On-Chip Networks for Manycore Accelerators
2010 · Ali Bakhoda, John Kim, et al. · Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture · 159
Divergence-aware warp scheduling
2013 · Timothy G. Rogers, Mike O'Connor, et al. · Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture · 155
Complexity effective memory access scheduling for many-core accelerator architectures
2009 · George L. Yuan, Ali Bakhoda, et al. · Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture · 140
AccelWattch: A Power Modeling Framework for Modern GPUs
2021 · Vijay Kandiah, Scott Peverelle, et al. · 138
Modeling Deep Learning Accelerator Enabled GPUs
2019 · Md Aamir Raihan, Negar Goli, et al. · IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · 128
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Hardware transactional memory for GPU architectures
2011 · Wilson W. L. Fung, Inderpreet Singh, et al. · Proceedings of the ... annual International Symposium on Microarchitecture/Proceedings of the annual International Symposium on Microarchitecture · 109
Characterizing and evaluating a key-value store application on heterogeneous CPU-GPU systems
2012 · Tayler H. Hetherington, Timothy G. Rogers, et al. · IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · 99
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets
2015 · Judd, Patrick, Albericio, Jorge, et al. · arXiv (Cornell University) · 88
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Analyzing Machine Learning Workloads Using a Detailed GPU Simulator
2019 · Jonathan Lew, Deval A. Shah, et al. · IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · 84
A first-order fine-grained multithreaded throughput model
2009 · X.E. Chen, T.M. Aamodt · Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings · 84
Proteus
2016 · Patrick Judd, Jorge Albericio, et al. · International Conference on Supercomputing · 78
Dynamic warp formation
2009 · Wilson W. L. Fung, Ivan Sham, et al. · ACM Transactions on Architecture and Code Optimization · 71
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Pangaea
2008 · Henry Wong, Anne Bracy, et al. · International Conference on Parallel Architectures and Compilation Techniques · 56
MemcachedGPU
2015 · Tayler H. Hetherington, Mike O'Connor, et al. · ACM Symposium on Cloud Computing (SoCC) · 55
Works count: 182
Citation count: 8,001
H-index: 32
I10-index: 67
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