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ORCIDMatthew W. Moskewicz
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2020 – today
- 2020
[c16]Arya Mazaheri
, Tim Beringer, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari:
Accelerating winograd convolutions using symbolic computation and meta-programming. EuroSys 2020: 40:1-40:14
2010 – 2019
- 2019
- [c15]Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. CVPR Workshops 2019: 128-136 - [c14]Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. CVPR Workshops 2019: 1317-1325 - [c13]Arya Mazaheri, Johannes Schulte, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari:
Enhancing the Programmability and Performance Portability of GPU Tensor Operations. Euro-Par 2019: 213-226 - 2018
- [i7]Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning. CoRR abs/1811.07070 (2018) - 2017
- [b1]Matthew W. Moskewicz:
Implementing Efficient, Portable Computations for Machine Learning. University of California, Berkeley, USA, 2017 - [c12]Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer:
Boda: A Holistic Approach for Implementing Neural Network Computations. Conf. Computing Frontiers 2017: 53-62 - [c11]Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
Shallow Networks for High-accuracy Road Object-detection. VEHITS 2017: 33-40 - 2016
- [c10]Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Kurt Keutzer:
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters. CVPR 2016: 2592-2600 - [c9]Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer:
Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms. WiMob 2016: 1-10 - [i6]Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Song Han, William J. Dally, Kurt Keutzer:
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size. CoRR abs/1602.07360 (2016) - [i5]Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer:
Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms. CoRR abs/1606.00094 (2016) - [i4]Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
Shallow Networks for High-Accuracy Road Object-Detection. CoRR abs/1606.01561 (2016) - [i3]Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer:
A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications. CoRR abs/1611.06945 (2016) - 2015
- [c8]Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
libHOG: Energy-Efficient Histogram of Oriented Gradient Computation. ITSC 2015: 1248-1254 - [c7]Khalid Ashraf, Benjamin Elizalde, Forrest N. Iandola, Matthew W. Moskewicz, Julia Bernd, Gerald Friedland, Kurt Keutzer:
Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling. ICMR 2015: 611-614 - [i2]Forrest N. Iandola, Khalid Ashraf, Matthew W. Moskewicz, Kurt Keutzer:
FireCaffe: near-linear acceleration of deep neural network training on compute clusters. CoRR abs/1511.00175 (2015) - 2014
- [i1]Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer:
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids. CoRR abs/1404.1869 (2014)
2000 – 2009
- 2004
- [c6]Scott J. Weber, Matthew W. Moskewicz, Matthias Gries, Christian Sauer, Kurt Keutzer:
Fast cycle-accurate simulation and instruction set generation for constraint-based descriptions of programmable architectures. CODES+ISSS 2004: 18-23 - 2003
- [c5]Cong Liu, Andreas Kuehlmann, Matthew W. Moskewicz:
CAMA: A Multi-Valued Satisfiability Solver. ICCAD 2003: 326-333 - 2002
- [j1]Andrew Mihal, Chidamber Kulkarni, Matthew W. Moskewicz, Mel M. Tsai, Niraj Shah, Scott J. Weber, Yujia Jin, Kurt Keutzer, Christian Sauer, Kees A. Vissers, Sharad Malik:
Developing Architectural Platforms: A Disciplined Approach. IEEE Des. Test Comput. 19(6): 6-16 (2002) - 2001
- [c4]Matthew W. Moskewicz, Conor F. Madigan, Ying Zhao, Lintao Zhang, Sharad Malik:
Chaff: Engineering an Efficient SAT Solver. DAC 2001: 530-535 - [c3]Lintao Zhang, Conor F. Madigan, Matthew W. Moskewicz, Sharad Malik:
Efficient Conflict Driven Learning in Boolean Satisfiability Solver. ICCAD 2001: 279-285 - [c2]Ying Zhao, Sharad Malik, Albert R. Wang, Matthew W. Moskewicz, Conor F. Madigan:
Matching Architecture to Application Via Configurable Processors: A Case Study with Boolean Satisfiability Problem. ICCD 2001: 447-452 - [c1]Ying Zhao, Sharad Malik, Matthew W. Moskewicz, Conor F. Madigan:
Accelerating boolean satisfiability through application specific processing. ISSS 2001: 244-249
Coauthor Index
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