1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
Scalable Batch Bayesian Optimization Via Subspace Acquisition Functions
Dawei Zhan, Zhaoxi Zeng, Shuoxiao Wei +1
Extending Bayesian optimization to batch evaluation can enable the designer to make the most use of parallel computing technology. However, most of current batch approaches do not…
cs.AR2025
Exploring the Performance Improvement of Tensor Processing Engines through Transformation in the Bit-weight Dimension of MACs
Qizhe Wu, Huawen Liang, Yuchen Gui +9
General matrix-matrix multiplication (GEMM) is a cornerstone of AI computations, making tensor processing engines (TPEs) increasingly critical in GPUs and domain-specific architect…