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cs.DC2022
PROFET: Profiling-based CNN Training Latency Prophet for GPU Cloud Instances
Sungjae Lee, Yoonseo Hur, Subin Park +1
Training a Convolutional Neural Network (CNN) model typically requires significant computing power, and cloud computing resources are widely used as a training environment. However…
cs.DC2022★ 20 cited
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
Gunho Park, Baeseong Park, Minsub Kim +7
Recent advances in self-supervised learning and the Transformer architecture have significantly improved natural language processing (NLP), achieving remarkably low perplexity. How…
cs.DC2022
SpotLake: Diverse Spot Instance Dataset Archive Service
Sungjae Lee, Jaeil Hwang, Kyungyong Lee
Public cloud service vendors provide a surplus of computing resources at a cheaper price as a spot instance. Despite the cheaper price, the spot instance can be forced to be shutdo…