Jesse G. Beu

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products.

Urmish Thakker, Igor Fedorov, Chu Zhou, Dibakar Gope, Matthew Mattina, Ganesh Dasika, Jesse G. Beu

ACM J. Emerg. Technol. Comput. Syst., 2021

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

Urmish Thakker, Paul N. Whatmough, Zhi Gang Liu, Matthew Mattina, Jesse G. Beu

CoRR, 2021

Doping: A technique for Extreme Compression of LSTM Models using Sparse Structured Additive Matrices.

Urmish Thakker, Paul N. Whatmough, Zhi Gang Liu, Matthew Mattina, Jesse G. Beu

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2020

High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands.

Dibakar Gope, Jesse G. Beu, Matthew Mattina

CoRR, 2020

Compressing Language Models using Doped Kronecker Products.

Urmish Thakker, Paul N. Whatmough, Matthew Mattina, Jesse G. Beu

CoRR, 2020

Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions.

Ravi Raju, Dibakar Gope, Urmish Thakker, Jesse G. Beu

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.

Xueqin Huang, Urmish Thakker, Dibakar Gope, Jesse G. Beu

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.

Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina

Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

Ternary MobileNets via Per-Layer Hybrid Filter Banks.

Dibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina

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.

Urmish Thakker, Jesse G. Beu, Dibakar Gope, Chu Zhou, Igor Fedorov, Ganesh Dasika, Matthew Mattina

CoRR, 2019

Measuring scheduling efficiency of RNNs for NLP applications.

Urmish Thakker, Ganesh Dasika, Jesse G. Beu, Matthew Mattina

CoRR, 2019

Skipping RNN State Updates without Retraining the Original Model.

Jin Tao, Urmish Thakker, Ganesh Dasika, Jesse G. Beu

Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems, 2019

Pushing the limits of RNN Compression.

Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Run-Time Efficient RNN Compression for Inference on Edge Devices.

Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina

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.

Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse G. Beu, Matthew Mattina, Robert D. Mullins

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.

Jun Wang, Jesse G. Beu, Rishiraj A. Bheda, Tom Conte, Zhenjiang Dong, Chad D. Kersey, Mitchelle Rasquinha, George F. Riley, William J. Song, He Xiao, Peng Xu, Sudhakar Yalamanchili

Proceedings of the 2014 IEEE International Symposium on Performance Analysis of Systems and Software, 2014

2013

High-speed formal verification of heterogeneous coherence hierarchies.

Jesse G. Beu, Jason A. Poovey, Eric R. Hein, Thomas M. Conte

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.

Jun Wang, Jesse G. Beu, Sudhakar Yalamanchili, Tom Conte

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Accelerating Multi-threaded Application Simulation through Barrier-Interval Time-Parallelism.

Paul D. Bryan, Jason A. Poovey, Jesse G. Beu, Thomas M. Conte

Proceedings of the 20th IEEE International Symposium on Modeling, 2012

Extrapolation Pitfalls When Evaluating Limited Endurance Memory.

Rishiraj A. Bheda, Jesse G. Beu, Brian P. Railing, Thomas M. Conte

Proceedings of the 20th IEEE International Symposium on Modeling, 2012

2011

Manager-client pairing: a framework for implementing coherence hierarchies.

Jesse G. Beu, Michel C. Rosier, Thomas M. Conte

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.

Rishiraj A. Bheda, Jason A. Poovey, Jesse G. Beu, Thomas M. Conte

Proceedings of the 2011 International Green Computing Conference and Workshops, 2011

2005

Spectral prefetcher: An effective mechanism for L2 cache prefetching.

Saurabh Sharma, Jesse G. Beu, Thomas M. Conte

ACM Trans. Archit. Code Optim., 2005