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TransforMAP: Transformer for Memory Access Prediction., , , , and . CoRR, (2022)Fine-grained address segmentation for attention-based variable-degree prefetching., , , , and . CF, page 103-112. ACM, (2022)A2P: Attention-based Memory Access Prediction for Graph Analytics., , , and . DATA, page 135-145. SCITEPRESS, (2022)REDUCT: Keep it Close, Keep it Cool! : Efficient Scaling of DNN Inference on Multi-core CPUs with Near-Cache Compute., , , , , , , and . ISCA, page 167-180. IEEE, (2021)Proximu: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute., , , , , , , and . CoRR, (2020)SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics., , , , and . HPEC, page 1-8. IEEE, (2022)ReSemble: Reinforced Ensemble Framework for Data Prefetching., , , , and . SC, page 81:1-81:14. IEEE, (2022)Characterization of Data Generating Neural Network Applications on x86 CPU Architecture., , , , and . ISPASS, page 121-122. IEEE, (2020)DSPatch: Dual Spatial Pattern Prefetcher., , , and . MICRO, page 531-544. ACM, (2019)