Sayeh Sharify

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Memory Hierarchy

Weakly Supervised

Top Venues

Publications

Tian Jin, Wanzin Yazar, Zifei Xu, Sayeh Sharify, Xin Wang
Self-Selected Attention Span for Accelerating Large Language Model Inference. CoRR (2024)
Sayeh Sharify, Zifei Xu, Wanzin Yazar, Xin Wang
Combining multiple post-training techniques to achieve most efficient quantized LLMs. CoRR (2024)
Zihao Deng, Xin Wang, Sayeh Sharify, Michael Orshansky
Mixed-Precision Quantization with Cross-Layer Dependencies. CoRR (2023)
Isak Edo Vivancos, Sayeh Sharify, Daniel Ly-Ma, Ameer Abdelhadi, Ciaran Bannon, Milos Nikolic, Mostafa Mahmoud, Alberto Delmas Lascorz, Gennady Pekhimenko, Andreas Moshovos
Boveda: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. MLSys (2021)
Isak Edo Vivancos, Sayeh Sharify, Milos Nikolic, Ciaran Bannon, Mostafa Mahmoud, Alberto Delmas Lascorz, Andreas Moshovos
Late Breaking Results: Building an On-Chip Deep Learning Memory Hierarchy Brick by Brick. DAC (2020)
Sayeh Sharify, Alberto Delmas Lascorz, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Dylan Malone Stuart, Zissis Poulos, Andreas Moshovos
Laconic deep learning inference acceleration. ISCA (2019)
Alberto Delmas Lascorz, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Kevin Siu, Andreas Moshovos
Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks. ASPLOS (2019)
Mostafa Mahmoud, Dylan Malone Stuart, Zissis Poulos, Alberto Delmas Lascorz, Patrick Judd, Sayeh Sharify, Milos Nikolic, Kevin Siu, Isak Edo Vivancos, Jorge Albericio, Andreas Moshovos
Accelerating Image-Sensor-Based Deep Learning Applications. IEEE Micro 39 (5) (2019)
Alberto Delmas Lascorz, Sayeh Sharify, Isak Edo Vivancos, Dylan Malone Stuart, Omar Mohamed Awad, Patrick Judd, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Zissis Poulos, Andreas Moshovos
ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. MICRO (2019)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger
Value-Based Deep-Learning Acceleration. IEEE Micro 38 (1) (2018)
Sayeh Sharify, Mostafa Mahmoud, Alberto Delmas Lascorz, Milos Nikolic, Andreas Moshovos
Laconic Deep Learning Computing. CoRR (2018)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Zissis Poulos, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger
Exploiting Typical Values to Accelerate Deep Learning. Computer 51 (5) (2018)
Sayeh Sharify, Alberto Delmas Lascorz, Kevin Siu, Patrick Judd, Andreas Moshovos
Loom: exploiting weight and activation precisions to accelerate convolutional neural networks. DAC (2018)
Alberto Delmas, Sayeh Sharify, Patrick Judd, Milos Nikolic, Andreas Moshovos
DPRed: Making Typical Activation Values Matter In Deep Learning Computing. CoRR (2018)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Mostafa Mahmoud, Tayler H. Hetherington, Milos Nikolic, Dylan Malone Stuart, Kevin Siu, Zissis Poulos, Tor M. Aamodt, Natalie D. Enright Jerger
Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. NEWCAS (2018)
Alberto Delmas, Patrick Judd, Dylan Malone Stuart, Zissis Poulos, Mostafa Mahmoud, Sayeh Sharify, Milos Nikolic, Andreas Moshovos
Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How. CoRR (2018)
Alberto Delmas, Sayeh Sharify, Patrick Judd, Andreas Moshovos
Tartan: Accelerating Fully-Connected and Convolutional Layers in Deep Learning Networks by Exploiting Numerical Precision Variability. CoRR (2017)
Jorge Albericio, Alberto Delmas, Patrick Judd, Sayeh Sharify, Gerard O'Leary, Roman Genov, Andreas Moshovos
Bit-pragmatic deep neural network computing. MICRO (2017)
Sayeh Sharify, Alberto Delmas Lascorz, Patrick Judd, Andreas Moshovos
Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks. CoRR (2017)
Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Andreas Moshovos
Bit-Pragmatic Deep Neural Network Computing. ICLR (Workshop) (2017)
Alberto Delmas, Patrick Judd, Sayeh Sharify, Andreas Moshovos
Dynamic Stripes: Exploiting the Dynamic Precision Requirements of Activation Values in Neural Networks. CoRR (2017)
Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Andreas Moshovos
Cnvlutin2: Ineffectual-Activation-and-Weight-Free Deep Neural Network Computing. CoRR (2017)
Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Andreas Moshovos
Bit-pragmatic Deep Neural Network Computing. CoRR (2016)