Ameer Haj-Ali

Publication Activity (10 Years)

Years Active: 2019-2021
Publications (10 Years): 14

Top Topics

Trecvid Multimedia Event Detection

Monte Carlo Tree Search

Reinforcement Learning

Top Venues

Publications

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
Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration. DAC (2021)
Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali
TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers. NeurIPS Datasets and Benchmarks (2021)
Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. CoRR (2020)
Ameer Haj-Ali, Qijing (Jenny) Huang, William S. Moses, John Xiang, Krste Asanovic, John Wawrzynek, Ion Stoica
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. MLSys (2020)
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
Ansor : Generating High-Performance Tensor Programs for Deep Learning. CoRR (2020)
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
Ansor: Generating High-Performance Tensor Programs for Deep Learning. OSDI (2020)
Ameer Haj-Ali, Hasan Genc, Qijing Huang, William S. Moses, John Wawrzynek, Krste Asanovic, Ion Stoica
ProTuner: Tuning Programs with Monte Carlo Tree Search. CoRR (2020)
Bin Li, Yipeng Wang, Ren Wang, Charlie Tai, Ravi R. Iyer, Zhu Zhou, Andrew Herdrich, Tong Zhang, Ameer Haj-Ali, Ion Stoica, Krste Asanovic
RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization. NetSoft (2020)
Keertana Settaluri, Ameer Haj-Ali, Qijing Huang, Kourosh Hakhamaneshi, Borivoje Nikolic
AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs. DATE (2020)
Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica
NeuroVectorizer: end-to-end vectorization with deep reinforcement learning. CGO (2020)
Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning. CoRR (2019)
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
Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures. CoRR (2019)
Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica
Deep Reinforcement Learning in System Optimization. CoRR (2019)
Qijing Huang, Ameer Haj-Ali, William S. Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek
AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning. FCCM (2019)