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Gennady Pekhimenko

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Arbitor: A Numerically Accurate Hardware Emulation Tool for DNN AcceleratorsUSENIX ATC '232023-07-10
Arbitor is an open‑source compiler‑based emulator that rewrites ML compiler IR to insert custom low‑precision, approximate and sparsity policies, running on…
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Habitat: A Runtime-Based Computational Performance Predictor...USENIX ATC '212021-07-14
Habitat predicts a single training-iteration execution time by profiling operations on an available GPU and scaling per-kernel timings to other GPUs, using…
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Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network TrainingUIST 20202020-10-20
Skyline is an interactive in-editor profiler implemented as an Atom plugin for PyTorch that builds empirical models predicting throughput and GPU memory versus…
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Daydream: Accurately Estimating the Efficacy of Optimizations for DNN TrainingUSENIX ATC '202020-07-15
Daydream builds a fine-grained dependency graph from CUPTI traces plus per-layer timestamps, applies simple graph-transformation primitives (select, shrink…
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