The Experts below are selected from a list of 465 Experts worldwide ranked by ideXlab platform

Kostiantyn Berezovskyi - One of the best experts on this subject based on the ideXlab platform.

  • Measurement-Based Probabilistic Timing Analysis for Graphics Pro cessor Units Kostiantyn Berezovskyi Measurement-Based Probabilistic Timing Analysis for Measurement-Based Probabilistic Timing Analysis for Graphics Pro cessor Units Measurement-Based Probab
    2020
    Co-Authors: Kostiantyn Berezovskyi, Fabrice Guet, Luca Santinelli, Konstantinos Bletsas, Eduardo Tovar
    Abstract:

    Abstract Purely analytical worst-case execution time (WCET) estimation approaches for Graphics Processor Units (GPUs) cannot go farbecause of insufficient public information for the hardware. Thereforemeasurement-based probabilistic timing analysis (MBPTA) seems theway forward. We recently demonstrated MBPTA for GPUs, based onExtreme Value Theory (EVT) of the "Block Maxima" paradigm. In thisnewer work, we formulate and experimentally evaluate a more robustMBPTA approach based on the EVT "Peak over Threshold" paradigmwith a complete set of tests for verifying EVT applicability. It optimallyselects parameters to best-fit the input measurements for more accurateprobabilistic WCET estimates. Different system configuration parameters (cache arrangements, Thread Block Size) and their effect on thepWCET are considered, enhancing models of worst-case GPU behavior. Measurement-Based Probabilistic Timing Analysis for Graphics Processor Units Abstract. Purely analytical worst-case execution time (WCET) estimation approaches for Graphics Processor Units (GPUs) cannot go far because of insufficient public information for the hardware. Therefore measurement-based probabilistic timing analysis (MBPTA) seems the way forward. We recently demonstrated MBPTA for GPUs, based on Extreme Value Theory (EVT) of the "Block Maxima" paradigm. In this newer work, we formulate and experimentally evaluate a more robust MBPTA approach based on the EVT "Peak over Threshold" paradigm with a complete set of tests for verifying EVT applicability. It optimally selects parameters to best-fit the input measurements for more accurate probabilistic WCET estimates. Different system configuration parameters (cache arrangements, Thread Block Size) and their effect on the pWCET are considered, enhancing models of worst-case GPU behavior

  • measurement based probabilistic timing analysis for graphics processor units
    Automation Robotics and Control Systems, 2016
    Co-Authors: Kostiantyn Berezovskyi, Fabrice Guet, Luca Santinelli, Konstantinos Bletsas, Eduardo Tovar
    Abstract:

    Purely analytical worst-case execution time WCET estimation approaches for Graphics Processor Units GPUs cannot go far because of insufficient public information for the hardware. Therefore measurement-based probabilistic timing analysis MBPTA seems the way forward. We recently demonstrated MBPTA for GPUs, based on Extreme Value Theory EVT of the "Block Maxima" paradigm. In this newer work, we formulate and experimentally evaluate a more robust MBPTA approach based on the EVT "Peak over Threshold" paradigm with a complete set of tests for verifying EVT applicability. It optimally selects parameters to best-fit the input measurements for more accurate probabilistic WCET estimates. Different system configuration parameters cache arrangements, Thread Block Size and their effect on the pWCET are considered, enhancing models of worst-case GPU behavior.

Eduardo Tovar - One of the best experts on this subject based on the ideXlab platform.

  • Measurement-Based Probabilistic Timing Analysis for Graphics Pro cessor Units Kostiantyn Berezovskyi Measurement-Based Probabilistic Timing Analysis for Measurement-Based Probabilistic Timing Analysis for Graphics Pro cessor Units Measurement-Based Probab
    2020
    Co-Authors: Kostiantyn Berezovskyi, Fabrice Guet, Luca Santinelli, Konstantinos Bletsas, Eduardo Tovar
    Abstract:

    Abstract Purely analytical worst-case execution time (WCET) estimation approaches for Graphics Processor Units (GPUs) cannot go farbecause of insufficient public information for the hardware. Thereforemeasurement-based probabilistic timing analysis (MBPTA) seems theway forward. We recently demonstrated MBPTA for GPUs, based onExtreme Value Theory (EVT) of the "Block Maxima" paradigm. In thisnewer work, we formulate and experimentally evaluate a more robustMBPTA approach based on the EVT "Peak over Threshold" paradigmwith a complete set of tests for verifying EVT applicability. It optimallyselects parameters to best-fit the input measurements for more accurateprobabilistic WCET estimates. Different system configuration parameters (cache arrangements, Thread Block Size) and their effect on thepWCET are considered, enhancing models of worst-case GPU behavior. Measurement-Based Probabilistic Timing Analysis for Graphics Processor Units Abstract. Purely analytical worst-case execution time (WCET) estimation approaches for Graphics Processor Units (GPUs) cannot go far because of insufficient public information for the hardware. Therefore measurement-based probabilistic timing analysis (MBPTA) seems the way forward. We recently demonstrated MBPTA for GPUs, based on Extreme Value Theory (EVT) of the "Block Maxima" paradigm. In this newer work, we formulate and experimentally evaluate a more robust MBPTA approach based on the EVT "Peak over Threshold" paradigm with a complete set of tests for verifying EVT applicability. It optimally selects parameters to best-fit the input measurements for more accurate probabilistic WCET estimates. Different system configuration parameters (cache arrangements, Thread Block Size) and their effect on the pWCET are considered, enhancing models of worst-case GPU behavior

  • measurement based probabilistic timing analysis for graphics processor units
    Automation Robotics and Control Systems, 2016
    Co-Authors: Kostiantyn Berezovskyi, Fabrice Guet, Luca Santinelli, Konstantinos Bletsas, Eduardo Tovar
    Abstract:

    Purely analytical worst-case execution time WCET estimation approaches for Graphics Processor Units GPUs cannot go far because of insufficient public information for the hardware. Therefore measurement-based probabilistic timing analysis MBPTA seems the way forward. We recently demonstrated MBPTA for GPUs, based on Extreme Value Theory EVT of the "Block Maxima" paradigm. In this newer work, we formulate and experimentally evaluate a more robust MBPTA approach based on the EVT "Peak over Threshold" paradigm with a complete set of tests for verifying EVT applicability. It optimally selects parameters to best-fit the input measurements for more accurate probabilistic WCET estimates. Different system configuration parameters cache arrangements, Thread Block Size and their effect on the pWCET are considered, enhancing models of worst-case GPU behavior.

Fabrice Guet - One of the best experts on this subject based on the ideXlab platform.

  • Measurement-Based Probabilistic Timing Analysis for Graphics Pro cessor Units Kostiantyn Berezovskyi Measurement-Based Probabilistic Timing Analysis for Measurement-Based Probabilistic Timing Analysis for Graphics Pro cessor Units Measurement-Based Probab
    2020
    Co-Authors: Kostiantyn Berezovskyi, Fabrice Guet, Luca Santinelli, Konstantinos Bletsas, Eduardo Tovar
    Abstract:

    Abstract Purely analytical worst-case execution time (WCET) estimation approaches for Graphics Processor Units (GPUs) cannot go farbecause of insufficient public information for the hardware. Thereforemeasurement-based probabilistic timing analysis (MBPTA) seems theway forward. We recently demonstrated MBPTA for GPUs, based onExtreme Value Theory (EVT) of the "Block Maxima" paradigm. In thisnewer work, we formulate and experimentally evaluate a more robustMBPTA approach based on the EVT "Peak over Threshold" paradigmwith a complete set of tests for verifying EVT applicability. It optimallyselects parameters to best-fit the input measurements for more accurateprobabilistic WCET estimates. Different system configuration parameters (cache arrangements, Thread Block Size) and their effect on thepWCET are considered, enhancing models of worst-case GPU behavior. Measurement-Based Probabilistic Timing Analysis for Graphics Processor Units Abstract. Purely analytical worst-case execution time (WCET) estimation approaches for Graphics Processor Units (GPUs) cannot go far because of insufficient public information for the hardware. Therefore measurement-based probabilistic timing analysis (MBPTA) seems the way forward. We recently demonstrated MBPTA for GPUs, based on Extreme Value Theory (EVT) of the "Block Maxima" paradigm. In this newer work, we formulate and experimentally evaluate a more robust MBPTA approach based on the EVT "Peak over Threshold" paradigm with a complete set of tests for verifying EVT applicability. It optimally selects parameters to best-fit the input measurements for more accurate probabilistic WCET estimates. Different system configuration parameters (cache arrangements, Thread Block Size) and their effect on the pWCET are considered, enhancing models of worst-case GPU behavior

  • measurement based probabilistic timing analysis for graphics processor units
    Automation Robotics and Control Systems, 2016
    Co-Authors: Kostiantyn Berezovskyi, Fabrice Guet, Luca Santinelli, Konstantinos Bletsas, Eduardo Tovar
    Abstract:

    Purely analytical worst-case execution time WCET estimation approaches for Graphics Processor Units GPUs cannot go far because of insufficient public information for the hardware. Therefore measurement-based probabilistic timing analysis MBPTA seems the way forward. We recently demonstrated MBPTA for GPUs, based on Extreme Value Theory EVT of the "Block Maxima" paradigm. In this newer work, we formulate and experimentally evaluate a more robust MBPTA approach based on the EVT "Peak over Threshold" paradigm with a complete set of tests for verifying EVT applicability. It optimally selects parameters to best-fit the input measurements for more accurate probabilistic WCET estimates. Different system configuration parameters cache arrangements, Thread Block Size and their effect on the pWCET are considered, enhancing models of worst-case GPU behavior.

Luca Santinelli - One of the best experts on this subject based on the ideXlab platform.

  • Measurement-Based Probabilistic Timing Analysis for Graphics Pro cessor Units Kostiantyn Berezovskyi Measurement-Based Probabilistic Timing Analysis for Measurement-Based Probabilistic Timing Analysis for Graphics Pro cessor Units Measurement-Based Probab
    2020
    Co-Authors: Kostiantyn Berezovskyi, Fabrice Guet, Luca Santinelli, Konstantinos Bletsas, Eduardo Tovar
    Abstract:

    Abstract Purely analytical worst-case execution time (WCET) estimation approaches for Graphics Processor Units (GPUs) cannot go farbecause of insufficient public information for the hardware. Thereforemeasurement-based probabilistic timing analysis (MBPTA) seems theway forward. We recently demonstrated MBPTA for GPUs, based onExtreme Value Theory (EVT) of the "Block Maxima" paradigm. In thisnewer work, we formulate and experimentally evaluate a more robustMBPTA approach based on the EVT "Peak over Threshold" paradigmwith a complete set of tests for verifying EVT applicability. It optimallyselects parameters to best-fit the input measurements for more accurateprobabilistic WCET estimates. Different system configuration parameters (cache arrangements, Thread Block Size) and their effect on thepWCET are considered, enhancing models of worst-case GPU behavior. Measurement-Based Probabilistic Timing Analysis for Graphics Processor Units Abstract. Purely analytical worst-case execution time (WCET) estimation approaches for Graphics Processor Units (GPUs) cannot go far because of insufficient public information for the hardware. Therefore measurement-based probabilistic timing analysis (MBPTA) seems the way forward. We recently demonstrated MBPTA for GPUs, based on Extreme Value Theory (EVT) of the "Block Maxima" paradigm. In this newer work, we formulate and experimentally evaluate a more robust MBPTA approach based on the EVT "Peak over Threshold" paradigm with a complete set of tests for verifying EVT applicability. It optimally selects parameters to best-fit the input measurements for more accurate probabilistic WCET estimates. Different system configuration parameters (cache arrangements, Thread Block Size) and their effect on the pWCET are considered, enhancing models of worst-case GPU behavior

  • measurement based probabilistic timing analysis for graphics processor units
    Automation Robotics and Control Systems, 2016
    Co-Authors: Kostiantyn Berezovskyi, Fabrice Guet, Luca Santinelli, Konstantinos Bletsas, Eduardo Tovar
    Abstract:

    Purely analytical worst-case execution time WCET estimation approaches for Graphics Processor Units GPUs cannot go far because of insufficient public information for the hardware. Therefore measurement-based probabilistic timing analysis MBPTA seems the way forward. We recently demonstrated MBPTA for GPUs, based on Extreme Value Theory EVT of the "Block Maxima" paradigm. In this newer work, we formulate and experimentally evaluate a more robust MBPTA approach based on the EVT "Peak over Threshold" paradigm with a complete set of tests for verifying EVT applicability. It optimally selects parameters to best-fit the input measurements for more accurate probabilistic WCET estimates. Different system configuration parameters cache arrangements, Thread Block Size and their effect on the pWCET are considered, enhancing models of worst-case GPU behavior.

Konstantinos Bletsas - One of the best experts on this subject based on the ideXlab platform.

  • Measurement-Based Probabilistic Timing Analysis for Graphics Pro cessor Units Kostiantyn Berezovskyi Measurement-Based Probabilistic Timing Analysis for Measurement-Based Probabilistic Timing Analysis for Graphics Pro cessor Units Measurement-Based Probab
    2020
    Co-Authors: Kostiantyn Berezovskyi, Fabrice Guet, Luca Santinelli, Konstantinos Bletsas, Eduardo Tovar
    Abstract:

    Abstract Purely analytical worst-case execution time (WCET) estimation approaches for Graphics Processor Units (GPUs) cannot go farbecause of insufficient public information for the hardware. Thereforemeasurement-based probabilistic timing analysis (MBPTA) seems theway forward. We recently demonstrated MBPTA for GPUs, based onExtreme Value Theory (EVT) of the "Block Maxima" paradigm. In thisnewer work, we formulate and experimentally evaluate a more robustMBPTA approach based on the EVT "Peak over Threshold" paradigmwith a complete set of tests for verifying EVT applicability. It optimallyselects parameters to best-fit the input measurements for more accurateprobabilistic WCET estimates. Different system configuration parameters (cache arrangements, Thread Block Size) and their effect on thepWCET are considered, enhancing models of worst-case GPU behavior. Measurement-Based Probabilistic Timing Analysis for Graphics Processor Units Abstract. Purely analytical worst-case execution time (WCET) estimation approaches for Graphics Processor Units (GPUs) cannot go far because of insufficient public information for the hardware. Therefore measurement-based probabilistic timing analysis (MBPTA) seems the way forward. We recently demonstrated MBPTA for GPUs, based on Extreme Value Theory (EVT) of the "Block Maxima" paradigm. In this newer work, we formulate and experimentally evaluate a more robust MBPTA approach based on the EVT "Peak over Threshold" paradigm with a complete set of tests for verifying EVT applicability. It optimally selects parameters to best-fit the input measurements for more accurate probabilistic WCET estimates. Different system configuration parameters (cache arrangements, Thread Block Size) and their effect on the pWCET are considered, enhancing models of worst-case GPU behavior

  • measurement based probabilistic timing analysis for graphics processor units
    Automation Robotics and Control Systems, 2016
    Co-Authors: Kostiantyn Berezovskyi, Fabrice Guet, Luca Santinelli, Konstantinos Bletsas, Eduardo Tovar
    Abstract:

    Purely analytical worst-case execution time WCET estimation approaches for Graphics Processor Units GPUs cannot go far because of insufficient public information for the hardware. Therefore measurement-based probabilistic timing analysis MBPTA seems the way forward. We recently demonstrated MBPTA for GPUs, based on Extreme Value Theory EVT of the "Block Maxima" paradigm. In this newer work, we formulate and experimentally evaluate a more robust MBPTA approach based on the EVT "Peak over Threshold" paradigm with a complete set of tests for verifying EVT applicability. It optimally selects parameters to best-fit the input measurements for more accurate probabilistic WCET estimates. Different system configuration parameters cache arrangements, Thread Block Size and their effect on the pWCET are considered, enhancing models of worst-case GPU behavior.