Measurement-Based Probabilistic Timing Analysis for Graphics Processor Units
Ref: CISTER-TR-160302 Publication Date: 4 to 7, Apr, 2016
Measurement-Based Probabilistic Timing Analysis for Graphics Processor UnitsRef: CISTER-TR-160302 Publication Date: 4 to 7, Apr, 2016
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.
Architecture of Computing Systems (ARCS 2016).