DynPath–Non-Intrusive Feature-Rich Hardware-Based Execution Path Profiler
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DOI: 10.1109/access.2022.3218710
Abstract: Current state of the art application profilers for function/loop (process) based execution paths perform static profiling during design space exploration. Dynamic optimization is a must for heterogenous platforms to achieve low silicon area and better… read more here.
Keywords: hardware; based execution; execution; profiler ... See more keywords
Accelerating Backward Aggregation in GCN Training With Execution Path Preparing on GPUs
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DOI: 10.1109/tpds.2022.3205642
Abstract: The emerging Graph Convolutional Network (GCN) has been widely used in many domains, where it is important to improve the efficiencies of applications by accelerating GCN trainings. Due to the sparsity nature and exploding scales… read more here.
Keywords: gcn; graph; gcn training; execution path ... See more keywords
Capturing Request Execution Path for Understanding Service Behavior and Detecting Anomalies Without Code Instrumentation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2022.3149949
Abstract: With the increasing scale and complexity of cloud platforms and big-data analytics platforms, it is becoming more and more challenging to understand and diagnose the processing of a service request across multi-layer software stacks of… read more here.
Keywords: execution; request execution; service; execution path ... See more keywords