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Archit. Code Optim."],"published-print":{"date-parts":[[2026,6,30]]},"abstract":"<jats:p>\n                    The prevalence of dynamic tensor shapes, driven by applications like language model serving with varying sequence lengths, is a defining characteristic of modern deep neural networks. This dynamism poses a fundamental challenge: reconciling the need for intensive, offline\n                    <jats:italic toggle=\"yes\">code generation<\/jats:italic>\n                    to achieve peak performance with the demand for low-latency,\n                    <jats:italic toggle=\"yes\">adaptive execution<\/jats:italic>\n                    to handle unpredictable runtime tensor shapes. Consequently, mainstream strategies are ineffective. Vendor-provided libraries, while highly optimized for a subset of common shapes, suffer performance degradation on unconventional ones. Static tensor compilers are hamstrung by prohibitive just-in-time compilation overheads for each new shape. While recent dynamic-shape compilers offer an alternative, they rely on predefined shape ranges, making them brittle when inputs fall outside these bounds. To resolve this tension, we present\n                    <jats:sc>MoonPoly<\/jats:sc>\n                    , a dynamic-shape tensor compiler that introduces\n                    <jats:italic toggle=\"yes\">micro-kernel polymerization<\/jats:italic>\n                    . Our approach decouples these conflicting requirements through a two-stage process. In the offline stage, it performs intensive auto-tuning to generate a set of micro-kernels and corresponding performance models. The online stage then performs adaptive execution, rapidly assembling a near-optimal tensor operator on-the-fly, guided by a lightweight cost model. Evaluated on an NVIDIA A100 GPU,\n                    <jats:sc>MoonPoly<\/jats:sc>\n                    achieves an average operator-level speedup of 1.27\u00d7 over the cuBLAS library across a diverse set of operators and data types, which in turn yields end-to-end inference acceleration for a variety of models, including BERT, the Vision Transformer, and large language models.\n                  <\/jats:p>","DOI":"10.1145\/3818618","type":"journal-article","created":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T20:40:48Z","timestamp":1780519248000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>MoonPoly<\/scp>\n                    : Bridging Code Generation and Adaptive Execution via Micro-Kernel Polymerization for Optimizing Dynamic-Shape Tensor Operators"],"prefix":"10.1145","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9582-6953","authenticated-orcid":false,"given":"Yangyu","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences","place":["Beijing, China"]},{"name":"University of Chinese Academy of Sciences","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9738-261X","authenticated-orcid":false,"given":"Guangli","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences","place":["Beijing, China"]},{"name":"University of Chinese Academy of Sciences","place":["Beijing, China"]},{"name":"University of New South Wales","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0974-0512","authenticated-orcid":false,"given":"Feng","family":"Yu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences","place":["Beijing, China"]},{"name":"University of Chinese Academy of Sciences","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1602-3549","authenticated-orcid":false,"given":"Fan","family":"Luo","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences","place":["Beijing, China"]},{"name":"University of Chinese Academy of Sciences","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8939-7721","authenticated-orcid":false,"given":"Qianqi","family":"Sun","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology Chinese Academy of Sciences","place":["Beijing, China"]},{"name":"University of the Chinese Academy of Sciences","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7835-113X","authenticated-orcid":false,"given":"Xueying","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5228-8972","authenticated-orcid":false,"given":"Jiacheng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences","place":["Beijing, China"]},{"name":"School of Computer and Control Engineering, University of Chinese Academy of Sciences","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2491-7679","authenticated-orcid":false,"given":"Huimin","family":"Cui","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences","place":["Beijing, China"]},{"name":"University of Chinese Academy of Sciences","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2909-7750","authenticated-orcid":false,"given":"Xiaobing","family":"Feng","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences","place":["Beijing, China"]},{"name":"University of Chinese Academy of Sciences","place":["Beijing, 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