{"total":15,"rows":[{"id":"2207.04606","title":"SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning","created":"2022-07-11","cited_by_count":47,"area":null},{"id":"2210.09603","title":"Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs","created":"2022-10-18","cited_by_count":28,"area":null},{"id":"2203.01877","title":"Query Processing on Tensor Computation Runtimes","created":"2022-03-03","cited_by_count":12,"area":null},{"id":"2311.02103","title":"Relax: Composable Abstractions for End-to-End Dynamic Machine Learning","created":"2023-11-01","cited_by_count":12,"area":null},{"id":"2404.09529","title":"Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models","created":"2024-04-15","cited_by_count":10,"area":null},{"id":"2206.05852","title":"ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths","created":"2022-06-12","cited_by_count":9,"area":null},{"id":"2503.19779","title":"PyGraph: Robust Compiler Support for CUDA Graphs in PyTorch","created":"2025-03-25","cited_by_count":3,"area":null},{"id":"2504.12984","title":"Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation","created":"2025-04-17","cited_by_count":3,"area":null},{"id":"2205.04586","title":"Towards Optimal VPU Compiler Cost Modeling by using Neural Networks to Infer Hardware Performances","created":"2022-05-09","cited_by_count":2,"area":null},{"id":"2210.12415","title":"ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations","created":"2022-10-22","cited_by_count":0,"area":null},{"id":"2404.03019","title":"GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU","created":"2024-04-03","cited_by_count":0,"area":null},{"id":"2407.21418","title":"FTuner: A Fast Dynamic Shape Tensors Program Auto-Tuner for Deep Learning Compilers","created":"2024-07-31","cited_by_count":0,"area":null},{"id":"2408.12526","title":"Exploiting Student Parallelism for Efficient GPU Inference of BERT-like Models in Online Services","created":"2024-08-22","cited_by_count":0,"area":null},{"id":"2511.16080","title":"Operon: Incremental Construction of Ragged Data via Named Dimensions","created":"2025-11-20","cited_by_count":0,"area":null},{"id":"2609.30379","title":"DanLing NestedTensor: Composable Multi-Ragged Tensors for Deep Learning","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}