Spectral prefetcher: An effective mechanism for L2 cache prefetching. - Saurabh Sharma; Jesse G. Beu; Thomas M. Conte (ACM Trans. Archit. Code Optim., 2005)

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 (IGCC, 2011)

Manager-client pairing: a framework for implementing coherence hierarchies. - Jesse G. Beu; Michel C. Rosier; Thomas M. Conte (MICRO, 2011)

Extrapolation Pitfalls When Evaluating Limited Endurance Memory. - Rishiraj A. Bheda; Jesse G. Beu; Brian P. Railing; Thomas M. Conte (MASCOTS, 2012)

Accelerating Multi-threaded Application Simulation through Barrier-Interval Time-Parallelism. - Paul D. Bryan; Jason A. Poovey; Jesse G. Beu; Thomas M. Conte (MASCOTS, 2012)

Designing Configurable, Modifiable and Reusable Components for Simulation of Multicore Systems. - Jun Wang 077; Jesse G. Beu; Sudhakar Yalamanchili; Tom Conte 001 (SC Companion, 2012)

High-speed formal verification of heterogeneous coherence hierarchies. - Jesse G. Beu; Jason A. Poovey; Eric R. Hein; Thomas M. Conte (HPCA, 2013)

Design of heterogeneous coherence hierarchies using manager-client pairing. - Jesse G. Beu (2013)

Manifold: A parallel simulation framework for multicore systems. - Jun Wang 077; Jesse G. Beu; Rishiraj A. Bheda; Tom Conte 001; Zhenjiang Dong; Chad D. Kersey; Mitchelle Rasquinha; George F. Riley; William J. Song; He Xiao; Peng Xu; Sudhakar Yalamanchili (ISPASS, 2014)

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 (EMC2@HPCA/CVPR/ISCA, 2019)

Run-Time Efficient RNN Compression for Inference on Edge Devices. - Urmish Thakker; Jesse G. Beu; Dibakar Gope; Ganesh Dasika; Matthew Mattina (EMC2@HPCA/CVPR/ISCA, 2019)

Pushing the limits of RNN Compression. - Urmish Thakker; Igor Fedorov; Jesse G. Beu; Dibakar Gope; Chu Zhou; Ganesh Dasika; Matthew Mattina (EMC2@NeurIPS, 2019)

Skipping RNN State Updates without Retraining the Original Model. - Jin Tao; Urmish Thakker; Ganesh Dasika; Jesse G. Beu (SenSys-ML, 2019)

Measuring scheduling efficiency of RNNs for NLP applications. - Urmish Thakker; Ganesh Dasika; Jesse G. Beu; Matthew Mattina (CoRR, 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)

Ternary MobileNets via Per-Layer Hybrid Filter Banks. - Dibakar Gope; Jesse G. Beu; Urmish Thakker; Matthew Mattina (CVPR Workshops, 2020)

Rank and run-time aware compression of NLP Applications. - Urmish Thakker; Jesse G. Beu; Dibakar Gope; Ganesh Dasika; Matthew Mattina (SustaiNLP@EMNLP, 2020)

Pushing the Envelope of Dynamic Spatial Gating technologies. - Xueqin Huang; Urmish Thakker; Dibakar Gope; Jesse G. Beu (AIChallengeIoT@SenSys, 2020)

Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions. - Ravi Raju; Dibakar Gope; Urmish Thakker; Jesse G. Beu (AIChallengeIoT@SenSys, 2020)

Compressing Language Models using Doped Kronecker Products. - Urmish Thakker; Paul N. Whatmough; Matthew Mattina; Jesse G. Beu (CoRR, 2020)

High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands. - Dibakar Gope; Jesse G. Beu; Matthew Mattina (CoRR, 2020)

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 (MLSys, 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)

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)