127 citations · 201 across the 8 of their papers we have counts for
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cs.DC2019★ 4 cited
The OoO VLIW JIT Compiler for GPU Inference
Paras Jain, Xiangxi Mo, Ajay Jain +3
Current trends in Machine Learning~(ML) inference on hardware accelerated devices (e.g., GPUs, TPUs) point to alarmingly low utilization. As ML inference is increasingly time-bound…
cs.DC2018★ 27 cited
Dynamic Space-Time Scheduling for GPU Inference
Paras Jain, Xiangxi Mo, Ajay Jain +5
Serving deep neural networks in latency critical interactive settings often requires GPU acceleration. However, the small batch sizes typical in online inference results in poor GP…
cs.DC2017
Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets
Paras Jain, Chirag Tailor, Sam Ford +5
Power-generating assets (e.g., jet engines, gas turbines) are often instrumented with tens to hundreds of sensors for monitoring physical and performance degradation. Anomaly detec…