Jesse G. Beu

According to our database1, Jesse G. Beu authored at least 23 papers between 2005 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2021
Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products.
ACM J. Emerg. Technol. Comput. Syst., 2021

Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices.
CoRR, 2021

Doping: A technique for Extreme Compression of LSTM Models using Sparse Structured Additive Matrices.
Proceedings of Machine Learning and Systems 2021, 2021

2020
High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands.
CoRR, 2020

Compressing Language Models using Doped Kronecker Products.
CoRR, 2020

Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions.
Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020

Pushing the Envelope of Dynamic Spatial Gating technologies.
Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020

Rank and run-time aware compression of NLP Applications.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

Ternary MobileNets via Per-Layer Hybrid Filter Banks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products.
CoRR, 2019

Measuring scheduling efficiency of RNNs for NLP applications.
CoRR, 2019

Skipping RNN State Updates without Retraining the Original Model.
Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems, 2019

Pushing the limits of RNN Compression.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Run-Time Efficient RNN Compression for Inference on Edge Devices.
Proceedings of the 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2019

Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs.
Proceedings of the 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2019

2014
Manifold: A parallel simulation framework for multicore systems.
Proceedings of the 2014 IEEE International Symposium on Performance Analysis of Systems and Software, 2014

2013
High-speed formal verification of heterogeneous coherence hierarchies.
Proceedings of the 19th IEEE International Symposium on High Performance Computer Architecture, 2013

2012
Designing Configurable, Modifiable and Reusable Components for Simulation of Multicore Systems.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Accelerating Multi-threaded Application Simulation through Barrier-Interval Time-Parallelism.
Proceedings of the 20th IEEE International Symposium on Modeling, 2012

Extrapolation Pitfalls When Evaluating Limited Endurance Memory.
Proceedings of the 20th IEEE International Symposium on Modeling, 2012

2011
Manager-client pairing: a framework for implementing coherence hierarchies.
Proceedings of the 44rd Annual IEEE/ACM International Symposium on Microarchitecture, 2011

Energy efficient Phase Change Memory based main memory for future high performance systems.
Proceedings of the 2011 International Green Computing Conference and Workshops, 2011

2005
Spectral prefetcher: An effective mechanism for L2 cache prefetching.
ACM Trans. Archit. Code Optim., 2005


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