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Ali Shafiee
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Books and Theses
- 2018
- [b1]Ali Shafiee Ardestani:
Design and Optimization of Hardware Accelerators for Deep Learning. University of Utah, USA, 2018
Journal Articles
- 2022
- [j4]Ardavan Pedram, Ali Shafiee Ardestani, Ling Li, Hamzah Abdel-Aziz, Jun Fang, Joseph Hassoun:
Algorithm/architecture solutions to improve beyond uniform quantization in embedded DNN accelerators. J. Syst. Archit. 126: 102454 (2022) - 2018
- [j3]Anirban Nag, Rajeev Balasubramonian, Vivek Srikumar, Ross Walker, Ali Shafiee, John Paul Strachan, Naveen Muralimanohar:
Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration. IEEE Micro 38(5): 41-49 (2018) - 2017
- [j2]Rajeev Balasubramonian, Andrew B. Kahng, Naveen Muralimanohar, Ali Shafiee, Vaishnav Srinivas:
CACTI 7: New Tools for Interconnect Exploration in Innovative Off-Chip Memories. ACM Trans. Archit. Code Optim. 14(2): 14:1-14:25 (2017) - 2012
- [j1]Narges Shahidi, Ali Shafiee, Amirali Baniasadi:
Heterogeneous Interconnect for Low-Power Snoop-Based Chip Multiprocessors. J. Low Power Electron. 8(5): 624-635 (2012)
Conference and Workshop Papers
- 2024
- [c24]Payman Behnam, Uday Kamal, Ali Shafiee, Alexey Tumanov, Saibal Mukhopadhyay:
Harmonica: Hybrid Accelerator to Overcome Imperfections of Mixed-signal DNN Accelerators. IPDPS 2024: 619-630 - 2022
- [c23]Jong Hoon Shin, Ali Shafiee, Ardavan Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph Hassoun:
Griffin: Rethinking Sparse Optimization for Deep Learning Architectures. HPCA 2022: 861-875 - 2021
- [c22]Geng Yuan, Payman Behnam, Yuxuan Cai, Ali Shafiee, Jingyan Fu, Zhiheng Liao, Zhengang Li, Xiaolong Ma, Jieren Deng, Jinhui Wang, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators. DATE 2021: 926-931 - [c21]Jun-Woo Jang, Sehwan Lee, Dongyoung Kim, Hyunsun Park, Ali Shafiee Ardestani, Yeongjae Choi, Channoh Kim, Yoojin Kim, Hyeongseok Yu, Hamzah Abdel-Aziz, Jun-Seok Park, Heonsoo Lee, Dongwoo Lee, Myeong Woo Kim, Hanwoong Jung, Heewoo Nam, Dongguen Lim, Seungwon Lee, Joon-Ho Song, Suknam Kwon, Joseph Hassoun, Sukhwan Lim, Changkyu Choi:
Sparsity-Aware and Re-configurable NPU Architecture for Samsung Flagship Mobile SoC. ISCA 2021: 15-28 - [c20]Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. ISCA 2021: 265-278 - [c19]Hamzah Abdel-Aziz, Ali Shafiee, Jong Hoon Shin, Ardavan Pedram, Joseph Hassoun:
Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators. MLSys 2021 - 2020
- [c18]Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun:
Post-training Piecewise Linear Quantization for Deep Neural Networks. ECCV (2) 2020: 69-86 - 2019
- [c17]Chandrasekhar Nagarajan, Ali Shafiee, Rajeev Balasubramonian, Mohit Tiwari:
ρ: Relaxed Hierarchical ORAM. ASPLOS 2019: 659-671 - 2018
- [c16]Meysam Taassori, Ali Shafiee, Rajeev Balasubramonian:
VAULT: Reducing Paging Overheads in SGX with Efficient Integrity Verification Structures. ASPLOS 2018: 665-678 - [c15]Ali Shafiee, Rajeev Balasubramonian, Mohit Tiwari, Feifei Li:
Secure DIMM: Moving ORAM Primitives Closer to Memory. HPCA 2018: 428-440 - [c14]Andrew Vuong, Ali Shafiee, Meysam Taassori, Rajeev Balasubramonian:
An MLP-aware leakage-free memory controller. HASP@ISCA 2018: 4:1-4:7 - 2017
- [c13]Surya Narayanan, Ali Shafiee, Rajeev Balasubramonian:
INXS: Bridging the throughput and energy gap for spiking neural networks. IJCNN 2017: 2451-2459 - 2016
- [c12]Arjun Deb, Paolo Faraboschi, Ali Shafiee, Naveen Muralimanohar, Rajeev Balasubramonian, Robert Schreiber:
Enabling technologies for memory compression: Metadata, mapping, and prediction. ICCD 2016: 17-24 - [c11]Meysam Taassori, Ali Shafiee, Rajeev Balasubramonian:
Understanding and alleviating intra-die and intra-DIMM parameter variation in the memory system. ICCD 2016: 217-224 - [c10]Ali Shafiee, Anirban Nag, Naveen Muralimanohar, Rajeev Balasubramonian, John Paul Strachan, Miao Hu, R. Stanley Williams, Vivek Srikumar:
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars. ISCA 2016: 14-26 - [c9]Mohammad Sadrosadati, Ramin Bashizade, Shahin Roozkhosh, Ali Shafiee, Hamid Sarbazi-Azad:
A Method to Improve Adaptivity of Odd-Even Routing Algorithm in Mesh NoCs. PDP 2016: 755-758 - 2015
- [c8]Ali Shafiee, Akhila Gundu, Manjunath Shevgoor, Rajeev Balasubramonian, Mohit Tiwari:
Avoiding information leakage in the memory controller with fixed service policies. MICRO 2015: 89-101 - 2014
- [c7]Ali Shafiee, Meysam Taassori, Rajeev Balasubramonian, Al Davis:
MemZip: Exploring unconventional benefits from memory compression. HPCA 2014: 638-649 - [c6]Akhila Gundu, Gita Sreekumar, Ali Shafiee, Seth H. Pugsley, Hardik B. Jain, Rajeev Balasubramonian, Mohit Tiwari:
Memory bandwidth reservation in the cloud to avoid information leakage in the memory controller. HASP@ISCA 2014: 11:1-11:5 - 2012
- [c5]Sara Akbari, Ali Shafiee, Mahmood Fathy, Reza Berangi:
AFRA: A low cost high performance reliable routing for 3D mesh NoCs. DATE 2012: 332-337 - 2011
- [c4]Ali Shafiee, Mahdy Zolghadr, Mohammad Arjomand, Hamid Sarbazi-Azad:
Application-aware deadlock-free oblivious routing based on extended turn-model. ICCAD 2011: 213-218 - [c3]Mohammad Arjomand, Amin Jadidi, Ali Shafiee, Hamid Sarbazi-Azad:
A morphable phase change memory architecture considering frequent zero values. ICCD 2011: 373-380 - 2010
- [c2]Ali Shafiee, Narges Shahidi, Amirali Baniasadi:
Helia: Heterogeneous Interconnect for Low Resolution Cache Access in snoop-based chip multiprocessors. ICCD 2010: 84-91 - [c1]Ali Shafiee, Narges Shahidi, Amirali Baniasadi:
Using Partial Tag Comparison in Low-Power Snoop-Based Chip Multiprocessors. ISCA Workshops 2010: 211-221
Informal and Other Publications
- 2022
- [i6]Ling Li, Ali Shafiee Ardestani, Joseph Hassoun:
MaiT: Leverage Attention Masks for More Efficient Image Transformers. CoRR abs/2207.03006 (2022) - 2021
- [i5]Hamzah Abdel-Aziz, Ali Shafiee, Jong Hoon Shin, Ardavan Pedram, Joseph H. Hassoun:
Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators. CoRR abs/2101.11748 (2021) - [i4]Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. CoRR abs/2106.09144 (2021) - [i3]Jong Hoon Shin, Ali Shafiee, Ardavan Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph Hassoun:
Design Space Exploration of Sparse Accelerators for Deep Neural Networks. CoRR abs/2107.12922 (2021) - 2020
- [i2]Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun:
Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation. CoRR abs/2002.00104 (2020) - 2018
- [i1]Anirban Nag, Ali Shafiee, Rajeev Balasubramonian, Vivek Srikumar, Naveen Muralimanohar:
Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration. CoRR abs/1803.06913 (2018)
Coauthor Index
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