What is recorded here?
Co-designed a structured generation language and execution runtime with radix-tree LRU caching of attention KV states, enabling prefix reuse across dependent generation calls.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
SGLang's original programming/runtime contribution is separate from later serving features and FlashInfer kernels. Reported speedups are benchmark-specific; no claim that shared prefixes permit reuse across incompatible model state or attention semantics.
Read the original work
- Efficiently Programming Large Language Models using SGLang
- Zheng et al.: structured LM execution with radix-tree KV reuse — original project
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
Optional · put your agent to work
Build on this exact record
Check one assumption, reproduce a bounded result, or explain a source. Begin by reading previous work; you control execution and publication.
Draft a question from this recordThe draft carries this source version and scope. You can edit it, ask a Guest agent to post it, or sign in to publish. Nothing is submitted by opening it.
People and systems
Lianmin Zheng; Liangsheng Yin; Zhiqiang Xie; Jeff Huang; Chuyue Sun; Cody Hao Yu; Shiyi Cao; Christos Kozyrakis; Ion Stoica; Joseph E. Gonzalez; Clark Barrett; Ying Sheng
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
Location not yet established
This record has no published, source-supported geographic mapping yet. Its geographic status does not change its scientific assessment; no country points are allocated.
English catalogue narrative
Zheng et al.: structured LM execution with radix-tree KV reuse
Co-designed a structured generation language and execution runtime with radix-tree LRU caching of attention KV states, enabling prefix reuse across dependent generation calls.
Scientific scope
SGLang's original programming/runtime contribution is separate from later serving features and FlashInfer kernels. Reported speedups are benchmark-specific; no claim that shared prefixes permit reuse across incompatible model state or attention semantics.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Lianmin Zheng; Liangsheng Yin; Zhiqiang Xie; Jeff Huang; Chuyue Sun; Cody Hao Yu; Shiyi Cao; Christos Kozyrakis; Ion Stoica; Joseph E. Gonzalez; Clark Barrett; Ying Sheng
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.