Author

Hong-Shi Tan

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Preprint Nov 2026

VLALagBench: Understanding When and Why VLA Inference Latency Matters

Vision-language-action (VLA) models offer a promising path toward general-purpose robot manipulation. While inference latency can affect task success in a constantly evolving physical world, the relationship between latency and task success rate remains poorly understood. In this paper, we introduce VLALagBench, a comp...

Qi-Sheng Wen, Bo-Rui Xu, Hussein Amro et al. · 0 citations

#artificial intelligence Preprint Oct 2026

VLA-HWBench: Where the Time Goes When VLA Models Run on Edge Hardware

VLA-HWBench is introduced, a benchmark that measures 18 open VLA models on NVIDIA Jetson AGX Thor and AMD Ryzen AI Max+ PRO 395, with a seven-stage inference breakdown, and reveals three insights that suggest low-latency edge VLAs should use few action-generation iterations, inference software should extend kernel fusi...

Bo-Rui Xu, Hong-Shi Tan, Wen-Qi Jiang et al. · 1 citation

Preprint Sep 2026

Xtrace: High-Fidelity GPU Intra-Kernel Tracing via Binary-Level Instruction Splicing

Modern GPU kernels fuse increasingly more work into a single kernel, and intra-kernel tracing has become the mainstream method to profile them. Tracing inserts probes into the kernel to record its runtime states, and the fidelity of the trace determines the efficiency of performance optimization. Unfortunately, existin...

Zhuo-Bin Huang, Kai Zhang, Wei-Hao Cui et al. · 0 citations