Joel Emer
Massachusetts Institute of Technology
H-index: 71
North America-United States
Top articles of Joel Emer
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Modeling Analog-Digital-Converter Energy and Area for Compute-In-Memory Accelerator Design | arXiv preprint arXiv:2404.06553 | Tanner Andrulis Ruicong Chen Hae-Seung Lee Joel S Emer Vivienne Sze | 2024/4/9 |
Deep neural network accelerator with fine-grained parallelism discovery | 2019/12/5 | ||
The EDGE Language: Extended General Einsums for Graph Algorithms | arXiv preprint arXiv:2404.11591 | Toluwanimi O Odemuyiwa Joel S Emer John D Owens | 2024/4/17 |
The sparse abstract machine | Olivia Hsu Maxwell Strange Ritvik Sharma Jaeyeon Won Kunle Olukotun | 2023/3/25 | |
Penetrating Shields: A Systematic Analysis of Memory Corruption Mitigations in the Spectre Era | arXiv preprint arXiv:2309.04119 | Weon Taek Na Joel S Emer Mengjia Yan | 2023/9/8 |
Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity | Zi Yu Xue Yannan Nellie Wu Joel S Emer Vivienne Sze | 2023/10/28 | |
Unified Convolution Framework: A compiler-based approach to support sparse convolutions | Proceedings of Machine Learning and Systems | Jaeyeon Won Changwan Hong Charith Mendis Joel Emer Saman Amarasinghe | 2023/3/18 |
Metior: A comprehensive model to evaluate obfuscating side-channel defense schemes | Peter W Deutsch Weon Taek Na Thomas Bourgeat Joel S Emer Mengjia Yan | 2023/6/17 | |
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity | Yannan Nellie Wu Po-An Tsai Saurav Muralidharan Angshuman Parashar Vivienne Sze | 2023/10/28 | |
Sparse convolutional neural network accelerator | 2023/12/19 | ||
Pruning and accelerating neural networks with hierarchical fine-grained structured sparsity | 2023/3/2 | ||
Raella: Reforming the arithmetic for efficient, low-resolution, and low-loss analog PIM: No retraining required! | Tanner Andrulis Joel S Emer Vivienne Sze | 2023/6/17 | |
TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators | Nandeeka Nayak Toluwanimi O Odemuyiwa Shubham Ugare Christopher Fletcher Michael Pellauer | 2023/10/28 | |
Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing | ACM Transactions on Computer Systems | Michael Pellauer Jason Clemons Vignesh Balaji Neal Crago Aamer Jaleel | 2023/12/18 |
ISOSceles: Accelerating sparse CNNs through inter-layer pipelining | Yifan Yang Joel S Emer Daniel Sanchez | 2023/2 | |
LoopTree: Enabling Exploration of Fused-layer Dataflow Accelerators | Michael Gilbert Yannan Nellie Wu Angshuman Parashar Vivienne Sze Joel S Emer | 2023/4/23 | |
Scalable multi-die deep learning system | 2023/9/26 | ||
Accelerating RTL Simulation with Hardware-Software Co-Design | Fares Elsabbagh Shabnam Sheikhha Victor A Ying Quan M Nguyen Joel S Emer | 2023/10/28 | |
WACO: learning workload-aware co-optimization of the format and schedule of a sparse tensor program | Jaeyeon Won Charith Mendis Joel S Emer Saman Amarasinghe | 2023/1/27 | |
Accelerating sparse data orchestration via dynamic reflexive tiling | Toluwanimi O Odemuyiwa Hadi Asghari-Moghaddam Michael Pellauer Kartik Hegde Po-An Tsai | 2023/3/25 |
Co-Authors
