MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators | Paper Citation Record

Observation bbecee42-bc13-46f1-92d9-93486ec9e986 · outbound

This paper cites Antman: Dynamic scaling on gpu clusters for deep learning,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Antman: Dynamic scaling on gpu clusters for deep learning,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1185e513-39cc-4cef-9cdb-7eaecf1325c5 · outbound

This paper cites Whale: Efficient giant model training over heterogeneous gpus,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Whale: Efficient giant model training over heterogeneous gpus,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:17:57.209280Z

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Observation c7e8f312-35ea-4203-b8ea-bf9f81a6929d · outbound

This paper cites Mpmoe: Memory efficient moe for pre-trained models with adaptive pipeline parallelism,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Mpmoe: Memory efficient moe for pre-trained models with adaptive pipeline parallelism,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:09.420985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 76aae5cd-6491-4bda-8d2e-1532eca578ce · outbound

This paper cites Redundancy-free high-performance dynamic GNN training with hier- archical pipeline parallelism,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Redundancy-free high-performance dynamic GNN training with hier- archical pipeline parallelism,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:09.191149Z

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Observation 11ae06a4-6f9f-4b71-b3a3-30d625fc11a2 · outbound

This paper cites Chimera: An analytical optimizing framework for effective compute-intensive operators fusion,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Chimera: An analytical optimizing framework for effective compute-intensive operators fusion,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:08.976798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 40d23f88-78ec-45c4-a560-a1071ee9986e · outbound

This paper cites Dnnfusion: accelerating deep neural networks execution with advanced operator fusion,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Dnnfusion: accelerating deep neural networks execution with advanced operator fusion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:08.820890Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e259b4ca-baa6-4ae6-8110-70c333860490 · outbound

This paper cites Astitch: enabling a new multi- dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Astitch: enabling a new multi- dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:08.657288Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 89b07b5c-2f64-422d-8bca-4e012988ba5c · outbound

This paper cites Nvidia cublas.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Nvidia cublas

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:08.480013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a7463e97-cdba-46a5-8226-b6c0b1eb8fbb · outbound

This paper cites Nvidia cudnn.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Nvidia cudnn

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:08.320639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 854fd778-21d7-419f-9b60-aab00d04dcfb · outbound

This paper cites Nvidia cutlass.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Nvidia cutlass

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:08.146636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ede060d9-800d-4524-8bb7-0330a19fc813 · outbound

This paper cites Nvidia tensorrt.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Nvidia tensorrt

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:07.966648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 42a04fc8-f71d-47df-9713-a4516b44d7fa · outbound

This paper cites Mpipemoe: Memory efficient moe for pre-trained models with adaptive pipeline parallelism,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Mpipemoe: Memory efficient moe for pre-trained models with adaptive pipeline parallelism,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:07.873222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d5b6d4f-535c-4e2b-b2b8-d076fe0ae1d1 · outbound

This paper cites Ansor: Generating high-performance tensor programs for deep learning,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Ansor: Generating high-performance tensor programs for deep learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:07.739342Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91b5adab-a47a-4d82-8ab8-b8ac17f1de39 · outbound

This paper cites Learning to optimize tensor programs,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Learning to optimize tensor programs,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:07.636632Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation db245a2a-f1fb-427a-92c9-9fe5077cb374 · outbound

This paper cites Tiramisu: A polyhedral compiler for expressing fast and portable code,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Tiramisu: A polyhedral compiler for expressing fast and portable code,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:07.509586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 14913f6e-2781-4798-af21-dc23ad56e7cf · outbound

This paper cites Astra: Exploiting predictability to optimize deep learning,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Astra: Exploiting predictability to optimize deep learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:07.418515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c94434b6-7232-405f-baa9-59cba381aaac · outbound

This paper cites TASO: optimizing deep learning computation with automatic genera- tion of graph substitutions,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators TASO: optimizing deep learning computation with automatic genera- tion of graph substitutions,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:07.317022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f5de12cf-1279-4361-b77d-755584ea987a · outbound

This paper cites Scalable kernel fusion for memory-bound GPU applications,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Scalable kernel fusion for memory-bound GPU applications,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:07.197903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d9eef3ca-6525-4084-b69c-59a27eeebd11 · outbound

This paper cites AKG: automatic kernel generation for neural processing units using polyhedral transformations,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators AKG: automatic kernel generation for neural processing units using polyhedral transformations,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:07.097573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 38be9a61-80d0-4911-a323-514c7c633aba · outbound

This paper cites Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:17:58.793850Z

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Observation 457af5e1-b481-43ce-89ec-6851188d1565 · outbound

This paper cites Tensorflow xla.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Tensorflow xla

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:06.981353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7afa9ddf-2509-4e84-b5ad-b541e46d58f9 · outbound

This paper cites Tvm: An automated end-to-end optimizing compiler for deep learning,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Tvm: An automated end-to-end optimizing compiler for deep learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:06.886879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5424f76d-c5aa-42d5-b1b3-97d91c422677 · outbound

This paper cites Attention is all you need,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Attention is all you need,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:06.779195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 84e453b0-3c1d-4654-aae4-9982a97cf419 · outbound

This paper cites Xgboost: A scalable tree boosting system,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Xgboost: A scalable tree boosting system,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:17:59.047371Z

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Observation 9e7916d3-35bf-449d-b27a-866054634b0a · outbound

This paper cites Bolt: Bridg- ing the gap between auto-tuners and hardware-native performance,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Bolt: Bridg- ing the gap between auto-tuners and hardware-native performance,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:06.663284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 050e6687-95bb-44a7-9320-6e67ea74da55 · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Pytorch: An imperative style, high- performance deep learning library,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:06.542281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c85a5a73-1353-4154-a185-c9d99004c0dc · outbound

This paper cites Bytetransformer: A high-performance transformer boosted for variable-length inputs,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Bytetransformer: A high-performance transformer boosted for variable-length inputs,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:06.399045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 52519be3-2c40-4494-9246-47f7201e5034 · outbound

This paper cites Raptor-t: A fused and memory-efficient sparse transformer for long and variable-length sequences.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Raptor-t: A fused and memory-efficient sparse transformer for long and variable-length sequences

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:06.244303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a8893b13-17ce-4513-b995-54b4b8c4b4f1 · outbound

This paper cites FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T22:17:59.486067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b96ac1-79d9-4651-aad5-108bd532935a · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Flashattention: Fast and memory-efficient exact attention with io-awareness,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:06.091515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9101e053-b75b-409a-a3e4-5492ca3005d7 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T22:17:59.630141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6c552ae-5e74-433f-915f-bd4584307700 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T22:17:59.732866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fb5eb6b-639c-4275-b1a8-fa9b663f7e1c · outbound

This paper cites Hidet: Task-mapping programming paradigm for deep learning tensor programs,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Hidet: Task-mapping programming paradigm for deep learning tensor programs,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:05.913727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 130c99b9-848a-486b-85f1-cd4af975f668 · outbound

This paper cites Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:05.733116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dddcb304-b24e-4fa5-9785-ddf91d1a97cb · outbound

This paper cites Flextensor: An automatic schedule exploration and optimization framework for tensor computation on heterogeneous system,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Flextensor: An automatic schedule exploration and optimization framework for tensor computation on heterogeneous system,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:05.542898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ec7a60cc-8591-444a-9d5a-12055042f1e7 · outbound

This paper cites AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:05.391723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 30278ef8-a73e-4540-81af-cc31728684d1 · outbound

This paper cites Atomic dataflow based graph-level workload orchestration for scalable DNN accelerators,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Atomic dataflow based graph-level workload orchestration for scalable DNN accelerators,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:05.211211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 27a2a5c7-9b64-443a-89ee-aabfae0d6714 · outbound

This paper cites ROLLER: fast and efficient tensor compilation for deep learning,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators ROLLER: fast and efficient tensor compilation for deep learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:05.031888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2fdbc928-81b9-4ac9-9368-a2d7a8301d09 · outbound

This paper cites Triton: an intermediate language and compiler for tiled neural network computations,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Triton: an intermediate language and compiler for tiled neural network computations,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:04.848685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 08894df8-1172-4a27-b829-9d08d8d64032 · outbound

This paper cites Nvidia, parallel thread execution isa.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Nvidia, parallel thread execution isa

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:04.710568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62cbf713-64c8-4336-8933-2d8a24b8989a · outbound

This paper cites Tensorflow: A system for large-scale machine learning,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Tensorflow: A system for large-scale machine learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:04.524401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c63e8000-3b1c-4edf-a171-006af5dcddbb · outbound

This paper cites Available: https://onnx.ai/.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Available: https://onnx.ai/

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:04.413135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39f3acaf-587b-43bb-8c80-425fa8f42d4d · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:00.661573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efe2bd7b-2c42-4c2c-9ac6-138960b9a649 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:04.281331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 79551829-ecc3-4148-b775-011159bdbf85 · outbound

This paper cites Mlp-mixer: An all-mlp architecture for vision,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Mlp-mixer: An all-mlp architecture for vision,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:04.147790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c05d49d-2121-4510-ae70-e5ae4570359f · outbound

This paper cites Relay: A High-Level Compiler for Deep Learning.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Relay: A High-Level Compiler for Deep Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:00.935149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e018dfd-7f5f-40ca-bc6f-70790c7bd1ce · outbound

This paper cites Intel oneapi deep neural network library.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Intel oneapi deep neural network library

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:03.968816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 77abbbf7-6fe3-4324-be58-7417b2784e14 · outbound

This paper cites Intel oneapi math kernel library.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Intel oneapi math kernel library

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:03.782986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39b837f5-2f97-48a1-b8fd-e28022d2d695 · outbound

This paper cites Rammer: Enabling holistic deep learning compiler optimizations with rtasks,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Rammer: Enabling holistic deep learning compiler optimizations with rtasks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:03.657856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 972a4a4e-d287-4515-8b4d-97565b441020 · outbound

This paper cites Accelerating deep learning inference with cross-layer data reuse on gpus,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Accelerating deep learning inference with cross-layer data reuse on gpus,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:03.481663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 27e8c3fb-6275-463b-aad3-ba5f8a7e2c85 · outbound

This paper cites Efficient GPU spatial-temporal multitasking,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Efficient GPU spatial-temporal multitasking,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:03.325638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 80618246-eca4-47aa-8edc-703189e895f5 · outbound

This paper cites On optimizing machine learning workloads via kernel fusion,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators On optimizing machine learning workloads via kernel fusion,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:03.186137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fcdd5e74-8860-4a8e-a15c-3728e6ee456e · outbound

This paper cites Learning to optimize halide with tree search and random programs,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Learning to optimize halide with tree search and random programs,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:03.032273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3acc49c2-e698-4f4d-a533-d67a3ee08957 · outbound

This paper cites Nimble: Efficiently compiling dynamic neural networks for model inference,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Nimble: Efficiently compiling dynamic neural networks for model inference,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:02.874308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 40723419-b400-4c46-8dad-ebf01ffe234b · outbound

This paper cites DISC: A dynamic shape compiler for machine learning workloads,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators DISC: A dynamic shape compiler for machine learning workloads,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:02.743768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6faa016-543a-48fc-a467-ed5720274a01 · outbound

This paper cites Automatic generation of high-performance quantized machine learning kernels,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Automatic generation of high-performance quantized machine learning kernels,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:02.607381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5827d460-ad2e-4dfb-8d17-8b7fb5245746 · outbound

This paper cites A code generator for high-performance tensor contractions on gpus,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators A code generator for high-performance tensor contractions on gpus,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:02.442784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 671f0ec3-4e56-4dc6-9149-51edd5237477 · outbound

This paper cites Neoflow: A flexible framework for enabling efficient compilation for high performance DNN training,.

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators Neoflow: A flexible framework for enabling efficient compilation for high performance DNN training,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:18:02.297777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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