Ameer Haj-Ali

According to our database, Ameer Haj-Ali authored at least 21 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers.

Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration.

Hasan Genc, Seah Kim, Alon Amid, Ameer Haj-Ali, Vighnesh Iyer, Pranav Prakash, Jerry Zhao, Daniel Grubb, Harrison Liew, Howard Mao, Albert J. Ou, Colin Schmidt, Samuel Steffl, John Charles Wright, Ion Stoica, Jonathan Ragan-Kelley, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Machine Learning in Compiler Optimization.

Ameer Haj-Ali

PhD thesis, 2020

SIMPLER MAGIC: Synthesis and Mapping of In-Memory Logic Executed in a Single Row to Improve Throughput.

Rotem Ben Hur, Ronny Ronen, Ameer Haj Ali, Debjyoti Bhattacharjee, Adi Eliahu, Natan Peled, Shahar Kvatinsky

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

ProTuner: Tuning Programs with Monte Carlo Tree Search.

Ameer Haj-Ali, Hasan Genc, Qijing Huang, William S. Moses, John Wawrzynek, Krste Asanovic, Ion Stoica

CoRR, 2020

Ansor: Generating High-Performance Tensor Programs for Deep Learning.

Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization.

Bin Li, Yipeng Wang, Ren Wang, Charlie Tai, Ravi R. Iyer, Zhu Zhou, Andrew Herdrich, Tong Zhang, Ameer Haj-Ali, Ion Stoica, Krste Asanovic

Proceedings of the 6th IEEE Conference on Network Softwarization, 2020

AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning.

Ameer Haj-Ali, Qijing (Jenny) Huang, William S. Moses, John Xiang, Krste Asanovic, John Wawrzynek, Ion Stoica

Proceedings of the Third Conference on Machine Learning and Systems, 2020

AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs.

Keertana Settaluri, Ameer Haj-Ali, Qijing Huang, Kourosh Hakhamaneshi, Borivoje Nikolic

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

NeuroVectorizer: end-to-end vectorization with deep reinforcement learning.

Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica

Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020

2019

Supporting the Momentum Training Algorithm Using a Memristor-Based Synapse.

Tzofnat Greenberg-Toledo, Roee Mazor, Ameer Haj Ali, Shahar Kvatinsky

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures.

Hasan Genc, Ameer Haj-Ali, Vighnesh Iyer, Alon Amid, Howard Mao, John Charles Wright, Colin Schmidt, Jerry Zhao, Albert J. Ou, Max Banister, Yakun Sophia Shao, Borivoje Nikolic, Ion Stoica, Krste Asanovic

CoRR, 2019

Deep Reinforcement Learning in System Optimization.

Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica

CoRR, 2019

AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning.

Ameer Haj Ali, Qijing Huang, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek

CoRR, 2019

AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning.

Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

A Taxonomy and Evaluation Framework for Memristive Logic.

John Reuben, Nishil Talati, Nimrod Wald, Rotem Ben Hur, Ameer Haj Ali, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky

Proceedings of the Handbook of Memristor Networks., 2019

2018

IMAGING: In-Memory AlGorithms for Image processiNG.

Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Ronny Ronen, Shahar Kvatinsky

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Not in Name Alone: A Memristive Memory Processing Unit for Real In-Memory Processing.

Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Ronny Ronen, Shahar Kvatinsky

IEEE Micro, 2018

Efficient Algorithms for In-Memory Fixed Point Multiplication Using MAGIC.

Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Shahar Kvatinsky

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Practical challenges in delivering the promises of real processing-in-memory machines.

Nishil Talati, Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Ronny Ronen, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

Memristive logic: A framework for evaluation and comparison.

John Reuben, Rotem Ben Hur, Nimrod Wald, Nishil Talati, Ameer Haj Ali, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky

Proceedings of the 27th International Symposium on Power and Timing Modeling, 2017