Matthew W. Moskewicz

Publication Activity (10 Years)

Years Active: 2001-2020
Publications (10 Years): 16

Top Venues

CoRR

CVPR Workshops

VEHITS

ITSC

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Arya Mazaheri, Tim Beringer, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari
Accelerating winograd convolutions using symbolic computation and meta-programming. EuroSys (2020)
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)
Arya Mazaheri, Johannes Schulte, Matthew W. Moskewicz, Felix Wolf, Ali Jannesari
Enhancing the Programmability and Performance Portability of GPU Tensor Operations. Euro-Par (2019)
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)
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 (2018)
Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer
Boda: A Holistic Approach for Implementing Neural Network Computations. Conf. Computing Frontiers (2017)
Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer
Shallow Networks for High-accuracy Road Object-detection. VEHITS (2017)
Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer
Shallow Networks for High-Accuracy Road Object-Detection. CoRR (2016)
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 (2016)
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 (2016)
Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer
A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications. CoRR (2016)
Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Kurt Keutzer
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters. CVPR (2016)
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)
Forrest N. Iandola, Khalid Ashraf, Matthew W. Moskewicz, Kurt Keutzer
FireCaffe: near-linear acceleration of deep neural network training on compute clusters. CoRR (2015)
Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer
libHOG: Energy-Efficient Histogram of Oriented Gradient Computation. ITSC (2015)
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)
Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids. CoRR (2014)
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)
Cong Liu, Andreas Kuehlmann, Matthew W. Moskewicz
CAMA: A Multi-Valued Satisfiability Solver. ICCAD (2003)
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) (2002)
Ying Zhao, Sharad Malik, Matthew W. Moskewicz, Conor F. Madigan
Accelerating boolean satisfiability through application specific processing. ISSS (2001)
Lintao Zhang, Conor F. Madigan, Matthew W. Moskewicz, Sharad Malik
Efficient Conflict Driven Learning in Boolean Satisfiability Solver. ICCAD (2001)
Matthew W. Moskewicz, Conor F. Madigan, Ying Zhao, Lintao Zhang, Sharad Malik
Chaff: Engineering an Efficient SAT Solver. DAC (2001)
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)

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Publication Activity (10 Years)

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Matthew W. Moskewicz