Search Results - Beu, Jesse

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  1. 1
    Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products

    Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products by Thakker, Urmish, Fedorov, Igor, Zhou, Chu, Gope, Dibakar, Mattina, Matthew, Dasika, Ganesh, Beu, Jesse

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  2. 2
    Spectral prefetcher: An effective mechanism for L2 cache prefetching

    Spectral prefetcher: An effective mechanism for L2 cache prefetching by Sharma, Saurabh, Beu, Jesse G., Conte, Thomas M.

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  3. 3
    Ternary MobileNets via Per-Layer Hybrid Filter Banks

    Ternary MobileNets via Per-Layer Hybrid Filter Banks by Gope, Dibakar, Beu, Jesse, Thakker, Urmish, Mattina, Matthew

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  4. 4
    High-speed formal verification of heterogeneous coherence hierarchies

    High-speed formal verification of heterogeneous coherence hierarchies by Beu, J. G., Poovey, J. A., Hein, E. R., Conte, T. M.

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  5. 5
    Accelerating Multi-threaded Application Simulation through Barrier-Interval Time-Parallelism

    Accelerating Multi-threaded Application Simulation through Barrier-Interval Time-Parallelism by Bryan, P. D., Poovey, J. A., Beu, J. G., Conte, T. M.

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  6. 6
    Extrapolation Pitfalls When Evaluating Limited Endurance Memory

    Extrapolation Pitfalls When Evaluating Limited Endurance Memory by Bheda, R. A., Beu, J. G., Railing, B. P., Conte, T. M.

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  7. 7
    Run-Time Efficient RNN Compression for Inference on Edge Devices

    Run-Time Efficient RNN Compression for Inference on Edge Devices by Thakker, Urmish, Beu, Jesse, Gope, Dibakar, Dasika, Ganesh, Mattina, Matthew

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  8. 8
    High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands

    High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands by Gope, Dibakar, Beu, Jesse, Mattina, Matthew

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  9. 9
    Spectral prefetcher

    Spectral prefetcher by Sharma, Saurabh, Beu, Jesse G, Conte, Thomas M

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  10. 10
    Rank and run-time aware compression of NLP Applications

    Rank and run-time aware compression of NLP Applications by Thakker, Urmish, Beu, Jesse, Gope, Dibakar, Dasika, Ganesh, Mattina, Matthew

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  11. 11
    Manifold: A parallel simulation framework for multicore systems

    Manifold: A parallel simulation framework for multicore systems by Jun Wang, Beu, Jesse, Bheda, Rishiraj, Conte, Tom, Zhenjiang Dong, Kersey, Chad, Rasquinha, Mitchelle, Riley, George, Song, William, He Xiao, Peng Xu, Yalamanchili, Sudhakar

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  12. 12
    Ternary MobileNets via Per-Layer Hybrid Filter Banks

    Ternary MobileNets via Per-Layer Hybrid Filter Banks by Gope, Dibakar, Beu, Jesse, Thakker, Urmish, Mattina, Matthew

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  13. 13
    Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices

    Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices by Thakker, Urmish, Whatmough, Paul N, Liu, Zhigang, Mattina, Matthew, Beu, Jesse

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  14. 14
    Measuring scheduling efficiency of RNNs for NLP applications

    Measuring scheduling efficiency of RNNs for NLP applications by Thakker, Urmish, Dasika, Ganesh, Beu, Jesse, Mattina, Matthew

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  15. 15
    Compressing Language Models using Doped Kronecker Products

    Compressing Language Models using Doped Kronecker Products by Thakker, Urmish, Whatmough, Paul N, Liu, Zhi-Gang, Mattina, Matthew, Beu, Jesse

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  16. 16
    Energy efficient Phase Change Memory based main memory for future high performance systems

    Energy efficient Phase Change Memory based main memory for future high performance systems by Bheda, R. A., Poovey, Jason A., Beu, J. G., Conte, T. M.

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  17. 17
    Compressing RNNs for IoT devices by 15-38x using Kronecker Products

    Compressing RNNs for IoT devices by 15-38x using Kronecker Products by Thakker, Urmish, Beu, Jesse, Gope, Dibakar, Chu, Zhou, Fedorov, Igor, Dasika, Ganesh, Mattina, Matthew

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  18. 18
    Designing Configurable, Modifiable and Reusable Components for Simulation of Multicore Systems

    Designing Configurable, Modifiable and Reusable Components for Simulation of Multicore Systems by Jun Wang, Beu, Jesse, Yalamanchili, Sudhakar, Conte, Tom

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  19. 19
    Pushing the limits of RNN Compression

    Pushing the limits of RNN Compression by Thakker, Urmish, Fedorov, Igor, Beu, Jesse, Gope, Dibakar, Chu, Zhou, Dasika, Ganesh, Mattina, Matthew

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  20. 20
    Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs

    Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs by Maji, Partha, Mundy, Andrew, Dasika, Ganesh, Beu, Jesse, Mattina, Matthew, Mullins, Robert

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