CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool
MIT EEMS Group - PI: Vivienne Sze
CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool
21:42
Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Occupancy @ MICRO 2023
MIT EEMS Group - PI: Vivienne Sze
Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Occupancy @ MICRO 2023
4:08
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity @MICRO 2023
MIT EEMS Group - PI: Vivienne Sze
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity @MICRO 2023
4:11
Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling @ MICRO 2022
MIT EEMS Group - PI: Vivienne Sze
Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling @ MICRO 2022
1:51
Systematic Modeling and Design of Sparse Tensor Accelerators [Nellie Wu]
MIT EEMS Group - PI: Vivienne Sze
Systematic Modeling and Design of Sparse Tensor Accelerators [Nellie Wu]
46:08
RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM @ ISCA 2023
MIT EEMS Group - PI: Vivienne Sze
RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM @ ISCA 2023
3:04
Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling @ MICRO 2022
MIT EEMS Group - PI: Vivienne Sze
Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling @ MICRO 2022
11:35
Efficient Computing for Low Energy Robotics
MIT EEMS Group - PI: Vivienne Sze
Efficient Computing for Low Energy Robotics
18:42
Efficient Computing for AI and Robotics
MIT EEMS Group - PI: Vivienne Sze
Efficient Computing for AI and Robotics
21:12
Reducing the Carbon Emissions of ML Computing - Challenges and Opportunities
MIT EEMS Group - PI: Vivienne Sze
Reducing the Carbon Emissions of ML Computing - Challenges and Opportunities
23:55
How to Evaluate Efficient Deep Neural Network Approaches
MIT EEMS Group - PI: Vivienne Sze
How to Evaluate Efficient Deep Neural Network Approaches
39:57
Timeloop/Accelergy Tutorial (Hands-on Session) @ ISCA 2020
MIT EEMS Group - PI: Vivienne Sze
Timeloop/Accelergy Tutorial (Hands-on Session) @ ISCA 2020
2:00:24
Timeloop/Accelergy Tutorial @ ISCA 2020
MIT EEMS Group - PI: Vivienne Sze
Timeloop/Accelergy Tutorial @ ISCA 2020
1:55:43
Efficient Computing for AI and Robotics
MIT EEMS Group - PI: Vivienne Sze
Efficient Computing for AI and Robotics
50:51
Efficient Computing for Robotics and AI
MIT EEMS Group - PI: Vivienne Sze
Efficient Computing for Robotics and AI
56:59
Efficient Computing for Autonomous Navigation of Miniaturized Robots
MIT EEMS Group - PI: Vivienne Sze
Efficient Computing for Autonomous Navigation of Miniaturized Robots
22:55
Energy-Efficient AI
MIT EEMS Group - PI: Vivienne Sze
Energy-Efficient AI
7:49
Efficient Computing for Autonomous Navigation w/ Algorithm-and-Hardware Co-design [Zhengdong Zhang]
MIT EEMS Group - PI: Vivienne Sze
Efficient Computing for Autonomous Navigation w/ Algorithm-and-Hardware Co-design [Zhengdong Zhang]
49:59
Energy-Efficient Deep Learning: Challenges and Opportunities
MIT EEMS Group - PI: Vivienne Sze
Energy-Efficient Deep Learning: Challenges and Opportunities
1:30:26
Navion: An Energy-Efficient Visual-Inertial Odometry Accelerator for Micro Robotics
MIT EEMS Group - PI: Vivienne Sze
Navion: An Energy-Efficient Visual-Inertial Odometry Accelerator for Micro Robotics
26:56
Design for Highly Flexible and Energy-Efficient Deep Neural Network Accelerators [Yu-Hsin Chen]
MIT EEMS Group - PI: Vivienne Sze
Design for Highly Flexible and Energy-Efficient Deep Neural Network Accelerators [Yu-Hsin Chen]
1:09:09
Energy-Efficient Accelerators for Autonomous Navigation for Miniaturized Robots [Amr Suleiman]
MIT EEMS Group - PI: Vivienne Sze
Energy-Efficient Accelerators for Autonomous Navigation for Miniaturized Robots [Amr Suleiman]
52:30
Navion: Test chip performing real-time processing on EuRoC dataset sequence (VLSI 2018)
MIT EEMS Group - PI: Vivienne Sze
Navion: Test chip performing real-time processing on EuRoC dataset sequence (VLSI 2018)
0:26
Navion: Test chip performing real-time processing on EuRoC dataset sequence (VLSI 2018)
MIT EEMS Group - PI: Vivienne Sze
Navion: Test chip performing real-time processing on EuRoC dataset sequence (VLSI 2018)
0:31
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision
MIT EEMS Group - PI: Vivienne Sze
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision
16:08
FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos (CVPRW 2017)
MIT EEMS Group - PI: Vivienne Sze
FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos (CVPRW 2017)
0:06
Eyeriss: Deep Neural Network Accelerator (Caffe Demo - ISSCC 2016)
MIT EEMS Group - PI: Vivienne Sze
Eyeriss: Deep Neural Network Accelerator (Caffe Demo - ISSCC 2016)
0:47
Navion: Visual-Inertial Odometry on Chip (RSS 2017)
MIT EEMS Group - PI: Vivienne Sze
Navion: Visual-Inertial Odometry on Chip (RSS 2017)
0:45