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Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar Processors.

, , , , and . IEEE Access, (2019)

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autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems., , , , and . CoRR, (2023)BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images., , and . CoRR, (2023)ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems., , , , and . DAC, page 1-6. IEEE, (2020)Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar Processors., , , , and . IEEE Access, (2019)FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features., , , and . CoRR, (2023)BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables., , , , and . CoRR, (2021)XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge., , and . DAC, page 184. ACM, (2019)Heterogeneous Approximate Multipliers: Architectures and Design Methodologies., , , , and . Approximate Circuits, Springer, (2019)Image Label based Semantic Segmentation Framework using Object Perimeters., , and . CoRR, (2023)ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images., , and . ISVC (1), volume 14361 of Lecture Notes in Computer Science, page 44-55. Springer, (2023)