Recent electrocardiogram (ECG) foundation models have extended ECG analysis from rhythm and morphology recognition to cardiac structure-function assessment, but the computational and memory requirements limit their use in resource-constrained settings. This study aimed to reduce the size and inference cost of a unified...
Shuang Ma, Wen-Yao Wang, Jie Yang et al.· International Journal of Med...· 0 citations
Communication has become a bottleneck in distributed training and inference of large models. Overlapping communication with computation at the granularity of kernels, on separate streams, reduces only part of this communication cost. Fused kernels often have better performance by transmitting each output tile as soon a...
Zi-Ming Mao, Yi-Han Zhang, S. W. Chew et al.· 1 citation
Evaluating leading frontier and open-source code generation models on both intra-node NVLink and inter-node RDMA platforms reveals that even the strongest model, GPT-5.5, correctly implements and achieves competitive performance on only 30.7\% of the benchmark tasks.
Shuang Ma, Yu-Yi Li, Yihan Zhang et al.· 0 citations
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