Tor M. Aamodt
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
15
Active years
2000–2025
Best venue rank
A*
Where they publish
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ASPLOS | Treelet Accelerated Ray Tracing on GPUs. | Yuan-Hsi Chou, Tor M. Aamodt |
| 2025 | ICML | ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering. | Lufei Liu, Tor M. Aamodt |
| 2025 | ICRA | Neural Encodings for Energy-Efficient Motion Planning. | Jocelyn Zhao, Deval Shah, Tor M. Aamodt |
| 2025 | MICRO | SHADOW: Simultaneous Multi-Threading Architecture with Asymmetric Threads. | Ishita Chaturvedi, Bhargav Reddy Godala, Abiram Gangavaram, Daniel Flyer, Tyler Sorensen, Tor M. Aamodt, David I. August |
| 2025 | MICRO | RayN: Ray Tracing Acceleration with Near-memory Computing. | Mohammadreza Saed, Prashant J. Nair, Tor M. Aamodt |
| 2024 | ISCA | GhOST: a GPU Out-of-Order Scheduling Technique for Stall Reduction. | Ishita Chaturvedi, Bhargav Reddy Godala, Yucan Wu, Ziyang Xu, Konstantinos Iliakis, Panagiotis-Eleftherios Eleftherakis, Sotirios Xydis, Dimitrios Soudris, Tyler Sorensen, Simone Campanoni, Tor M. Aamodt, David I. August |
| 2024 | ISCA | Collision Prediction for Robotics Accelerators. | Deval Shah, Tor M. Aamodt |
| 2024 | ISPASS | Zatel: Sample Complexity-Aware Scale-Model Simulation for Ray Tracing. | Davit Grigoryan, Yuan-Hsi Chou, Tor M. Aamodt |
| 2024 | MICRO | Generalizing Ray Tracing Accelerators for Tree Traversals on GPUs. | Dongho Ha, Lufei Liu, Yuan-Hsi Chou, Seokjin Go, Won Woo Ro, Hung-Wei Tseng, Tor M. Aamodt |
| 2024 | MICRO | Uncovering Real GPU NoC Characteristics: Implications on Interconnect Architecture. | Zhixian Jin, Christopher Rocca, Jiho Kim, Hans Kasan, Minsoo Rhu, Ali Bakhoda, Tor M. Aamodt, John Kim |
| 2024 | QCE | Graph-Based Identification of Qubit Network (GidNET) for Qubit Reuse. | Gideon Uchehara, Tor M. Aamodt, Olivia Di Matteo |
| 2023 | ICLR | Learning Label Encodings for Deep Regression. | Deval Shah, Tor M. Aamodt |
| 2023 | ISCA | Energy-Efficient Realtime Motion Planning. | Deval Shah, Ningfeng Yang, Tor M. Aamodt |
| 2023 | MICRO | Treelet Prefetching For Ray Tracing. | Yuan-Hsi Chou, Tyler Nowicki, Tor M. Aamodt |
| 2022 | ICLR | Label Encoding for Regression Networks. | Deval Shah, Zi Yu Xue, Tor M. Aamodt |
| 2022 | ISCA | Anticipating and eliminating redundant computations in accelerated sparse training. | Jonathan S. Lew, Yunpeng Liu, Wenyi Gong, Negar Goli, R. David Evans, Tor M. Aamodt |
| 2022 | MICRO | Vulkan-Sim: A GPU Architecture Simulator for Ray Tracing. | Mohammadreza Saed, Yuan-Hsi Chou, Lufei Liu, Tyler Nowicki, Tor M. Aamodt |
| 2021 | MICRO | AccelWattch: A Power Modeling Framework for Modern GPUs. | Vijay Kandiah, Scott Peverelle, Mahmoud Khairy, Junrui Pan, Amogh Manjunath, Timothy G. Rogers, Tor M. Aamodt, Nikos Hardavellas |
| 2021 | MICRO | Intersection Prediction for Accelerated GPU Ray Tracing. | Lufei Liu, Wesley Chang, Francois Demoullin, Yuan-Hsi Chou, Mohammadreza Saed, David Pankratz, Tyler Nowicki, Tor M. Aamodt |
| 2020 | CVPR | ReSprop: Reuse Sparsified Backpropagation. | Negar Goli, Tor M. Aamodt |
| 2020 | ISCA | JPEG-ACT: Accelerating Deep Learning via Transform-based Lossy Compression. | R. David Evans, Lufei Liu, Tor M. Aamodt |
| 2020 | ISCA | Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling. | Mahmoud Khairy, Zhesheng Shen, Tor M. Aamodt, Timothy G. Rogers |
| 2020 | MICRO | Deterministic Atomic Buffering. | Yuan-Hsi Chou, Christopher Ng, Shaylin Cattell, Jeremy Intan, Matthew D. Sinclair, Joseph Devietti, Timothy G. Rogers, Tor M. Aamodt |
| 2019 | ISCA | Emerald: graphics modeling for SoC systems. | Ayub A. Gubran, Tor M. Aamodt |
| 2019 | ISPASS | A Detailed Model for Contemporary GPU Memory Systems. | Mahmoud Khairy, Akshay Jain, Tor M. Aamodt, Timothy G. Rogers |
| 2019 | ISPASS | Analyzing Machine Learning Workloads Using a Detailed GPU Simulator. | Jonathan S. Lew, Deval A. Shah, Suchita Pati, Shaylin Cattell, Mengchi Zhang, Amruth Sandhupatla, Christopher Ng, Negar Goli, Matthew D. Sinclair, Timothy G. Rogers, Tor M. Aamodt |
| 2019 | ISPASS | Modeling Deep Learning Accelerator Enabled GPUs. | Md Aamir Raihan, Negar Goli, Tor M. Aamodt |
| 2018 | HPCA | Warp Scheduling for Fine-Grained Synchronization. | Ahmed ElTantawy, Tor M. Aamodt |
| 2016 | ISCA | Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. | Jorge Albericio, Patrick Judd, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos |
| 2016 | ICS | Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks. | Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos |
| 2016 | MICRO | MIMD synchronization on SIMT architectures. | Ahmed ElTantawy, Tor M. Aamodt |
| 2016 | MICRO | Stripes: Bit-serial deep neural network computing. | Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Andreas Moshovos |
| 2015 | CLOUD | MemcachedGPU: scaling-up scale-out key-value stores. | Tayler H. Hetherington, Mike O'Connor, Tor M. Aamodt |
| 2015 | ISCA | SLIP: reducing wire energy in the memory hierarchy. | Subhasis Das, Tor M. Aamodt, William J. Dally |
| 2014 | HPCA | A scalable multi-path microarchitecture for efficient GPU control flow. | Ahmed ElTantawy, Jessica Wenjie Ma, Mike O'Connor, Tor M. Aamodt |
| 2013 | ASPLOS | GPUDet: a deterministic GPU architecture. | Hadi Jooybar, Wilson W. L. Fung, Mike O'Connor, Joseph Devietti, Tor M. Aamodt |
| 2013 | DATE | Characterizing the performance benefits of fused CPU/GPU systems using FusionSim. | Vitaly Zakharenko, Tor M. Aamodt, Andreas Moshovos |
| 2013 | HPCA | Cache coherence for GPU architectures. | Inderpreet Singh, Arrvindh Shriraman, Wilson W. L. Fung, Mike O'Connor, Tor M. Aamodt |
| 2013 | ISCA | GPUWattch: enabling energy optimizations in GPGPUs. | Jingwen Leng, Tayler H. Hetherington, Ahmed ElTantawy, Syed Zohaib Gilani, Nam Sung Kim, Tor M. Aamodt, Vijay Janapa Reddi |
| 2013 | MICRO | Energy efficient GPU transactional memory via space-time optimizations. | Wilson W. L. Fung, Tor M. Aamodt |
| 2013 | MICRO | Divergence-aware warp scheduling. | Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt |
| 2012 | ISPASS | Characterizing and evaluating a key-value store application on heterogeneous CPU-GPU systems. | Tayler H. Hetherington, Timothy G. Rogers, Lisa Hsu, Mike O'Connor, Tor M. Aamodt |
| 2012 | MICRO | Cache-Conscious Wavefront Scheduling. | Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt |
| 2011 | HPCA | Thread block compaction for efficient SIMT control flow. | Wilson W. L. Fung, Tor M. Aamodt |
| 2011 | MICRO | Hardware transactional memory for GPU architectures. | Wilson W. L. Fung, Inderpreet Singh, Andrew Brownsword, Tor M. Aamodt |
| 2010 | ISPASS | Visualizing complex dynamics in many-core accelerator architectures. | Aaron Ariel, Wilson W. L. Fung, Andrew E. Turner, Tor M. Aamodt |
| 2010 | MICRO | Throughput-Effective On-Chip Networks for Manycore Accelerators. | Ali Bakhoda, John Kim, Tor M. Aamodt |
| 2009 | HPCA | A first-order fine-grained multithreaded throughput model. | Xi E. Chen, Tor M. Aamodt |
| 2009 | ISPASS | Analyzing CUDA workloads using a detailed GPU simulator. | Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, Henry Wong, Tor M. Aamodt |
| 2009 | MICRO | Complexity effective memory access scheduling for many-core accelerator architectures. | George L. Yuan, Ali Bakhoda, Tor M. Aamodt |
| 2008 | MICRO | Hybrid analytical modeling of pending cache hits, data prefetching, and MSHRs. | Xi E. Chen, Tor M. Aamodt |
| 2007 | ICS | Optimization of data prefetch helper threads with path-expression based statistical modeling. | Tor M. Aamodt, Paul Chow |
| 2007 | MICRO | Dynamic Warp Formation and Scheduling for Efficient GPU Control Flow. | Wilson W. L. Fung, Ivan Sham, George L. Yuan, Tor M. Aamodt |
| 2004 | HPCA | Hardware Support for Prescient Instruction Prefetch. | Tor M. Aamodt, Paul Chow, Per Hammarlund, Hong Wang, John Paul Shen |
| 2003 | SIGMETRICS | A framework for modeling and optimization of prescient instruction prefetch. | Tor M. Aamodt, Pedro Marcuello, Paul Chow, Antonio Gonzlez, Per Hammarlund, Hong Wang, John Paul Shen |
| 2000 | CASES | Embedded ISA support for enhanced floating-point to fixed-point ANSI-C compilation. | Tor M. Aamodt, Paul Chow |