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STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators.

, , , and . ACM J. Emerg. Technol. Comput. Syst., 19 (4): 32:1-32:20 (October 2023)

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Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing., , , , , and . ASPLOS (3), page 252-265. ACM, (2023)SAWS: Simple and Adaptive Warp Scheduling for Improved Performance in Throughput Processors., and . PDP, page 344-347. IEEE Computer Society, (2018)STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators., , , and . IISWC, page 201-213. IEEE, (2021)A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators., , , , , , , , , and 1 other author(s). CoRR, (2021)InsideNet: A tool for characterizing convolutional neural networks., , and . Future Gener. Comput. Syst., (2019)Bacterial chemotaxis towards aromatic hydrocarbons in Pseudomonas, , , , , , , , , and . Environmental Microbiology, 13 (7): 1733--1744 (2011)STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators., , , and . CoRR, (2020)Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators., , , , , , , , , and 1 other author(s). IPDPS, page 571-582. IEEE, (2022)CNN-SIM: A Detailed Arquitectural Simulator of CNN Accelerators., , and . Euro-Par Workshops, volume 11997 of Lecture Notes in Computer Science, page 720-724. Springer, (2019)On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs., , , , , , , , and . IEEE Trans. Very Large Scale Integr. Syst., 31 (10): 1603-1613 (October 2023)