Cover Image

Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Leon, Vasileios, Hanif, Muhammad Abdullah, Armeniakos, Giorgos, Jiao, Xun, Shafique, Muhammad, Pekmestzi, Kiamal, Soudris, Dimitrios
Format:	Preprint
Published:	2023
Subjects:	Hardware Architecture Artificial Intelligence Emerging Technologies Programming Languages
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques
by: Leon, Vasileios, et al.
Published: (2023)

MAx-DNN: Multi-Level Arithmetic Approximation for Energy-Efficient DNN Hardware Accelerators
by: Leon, Vasileios, et al.
Published: (2025)

MPAI: A Co-Processing Architecture with MPSoC & AI Accelerators for Vision Applications in Space
by: Leon, Vasileios, et al.
Published: (2024)

A Bespoke Design Approach to Low-Power Printed Microprocessors for Machine Learning Applications
by: Chaidos, Panagiotis, et al.
Published: (2025)

MaRVIn: A Cross-Layer Mixed-Precision RISC-V Framework for DNN Inference, from ISA Extension to Hardware Acceleration
by: Armeniakos, Giorgos, et al.
Published: (2025)

Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations
by: Armeniakos, Giorgos, et al.
Published: (2024)

Partially-Precise Computing Paradigm for Efficient Hardware Implementation of Application-Specific Embedded Systems
by: Faryabi, Mohsen, et al.
Published: (2024)

Towards Employing FPGA and ASIP Acceleration to Enable Onboard AI/ML in Space Applications
by: Leon, Vasileios, et al.
Published: (2025)

TransAxx: Efficient Transformers with Approximate Computing
by: Danopoulos, Dimitrios, et al.
Published: (2024)

Function Approximation Using Analog Building Blocks in Flexible Electronics
by: Duarte, Paula Carolina Lozano, et al.
Published: (2025)

From Circuits to SoC Processors: Arithmetic Approximation Techniques & Embedded Computing Methodologies for DSP Acceleration
by: Leon, Vasileios
Published: (2023)

Architectural Exploration of Application-Specific Resonant SRAM Compute-in-Memory (rCiM)
by: Challagundla, Dhandeep, et al.
Published: (2024)

HAVEN: High-Bandwidth Flash Augmented Vector Engine for Large-Scale Approximate Nearest-Neighbor Search Acceleration
by: Hsu, Po-Kai, et al.
Published: (2026)

Cognition Engines: A Row-Scale HVDC Architecture for Computational Continuity of AI
by: Churnock, Paul
Published: (2025)

Stoch-IMC: A Bit-Parallel Stochastic In-Memory Computing Architecture Based on STT-MRAM
by: Hajisadeghi, Amir M., et al.
Published: (2024)

A Novel 8T SRAM-Based In-Memory Computing Architecture for MAC-Derived Logical Functions
by: M, Amogh K, et al.
Published: (2025)

Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics
by: Borras, Hendrik, et al.
Published: (2022)

Approximate ADCs for In-Memory Computing
by: Ghosh, Arkapravo, et al.
Published: (2024)

Scattering-Matrix-Based Parametric Characterization of a Two-Port Bridged-T Network for Microstrip Filter Applications
by: Dizabadi, Naser Khatti, et al.
Published: (2026)

Power-Area Efficient Serial IMPLY-based 4:2 Compressor Applied in Data-Intensive Applications
by: Bagheralmoosavi, Bahareh, et al.
Published: (2024)

Design of a 64-bit SQRT-CSLA with Reduced Area and High-Speed Applications in Low Power VLSI Circuits
by: Pallavi, CH., et al.
Published: (2024)

Modeling and Simulation Frameworks for Processing-in-Memory Architectures
by: Aghaei, Mahdi, et al.
Published: (2025)

Architectural and System Implications of CXL-enabled Tiered Memory
by: Yang, Yujie, et al.
Published: (2025)

Architecture-Level Modeling of Photonic Deep Neural Network Accelerators
by: Andrulis, Tanner, et al.
Published: (2024)

Towards Memory Specialization: A Case for Long-Term and Short-Term RAM
by: Li, Peijing, et al.
Published: (2025)

A Novel Low-Power Cache Architecture Based on 6-Transistor SRAM Cells
by: Dizabadi, Naser Khatti, et al.
Published: (2026)

ARMAN: A Reconfigurable Monolithic 3D Accelerator Architecture for Convolutional Neural Networks
by: Sedaghatgoo, Ali, et al.
Published: (2024)

Fault-Free Analog Computing with Imperfect Hardware
by: Xu, Zhicheng, et al.
Published: (2025)

Computing High-Degree Polynomial Gradients in Memory
by: Bhattacharya, T., et al.
Published: (2024)

Hybrid Temporal Computing for Lower Power Hardware Accelerators
by: Tasnim, Maliha, et al.
Published: (2024)

PEARL: Power- and Energy-Aware Multicore Intermittent Computing
by: Akhunov, Khakim, et al.
Published: (2025)

FPIA: Field-Programmable Ising Arrays with In-Memory Computing
by: Hutchinson, George Higgins, et al.
Published: (2024)

All-in-Memory Stochastic Computing using ReRAM
by: de Lima, João Paulo C., et al.
Published: (2025)

Toward Digital Twins in 3D IC Packaging: A Critical Review of Physics, Data, and Hybrid Architectures
by: Datta, Gourab, et al.
Published: (2026)

MASIM: An Efficient Multi-Array Scheduler for In-Memory SIMD Computation
by: Qian, Xingyue, et al.
Published: (2024)

PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro with In-Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout
by: Chen, Zhiyu, et al.
Published: (2024)

Accelerating AI and Computer Vision for Satellite Pose Estimation on the Intel Myriad X Embedded SoC
by: Leon, Vasileios, et al.
Published: (2024)

SKYLIGHT: A Scalable Hundred-Channel 3D Photonic In-Memory Tensor Core Architecture for Real-time AI Inference
by: Zhang, Meng, et al.
Published: (2026)

H3PIMAP: A Heterogeneity-Aware Multi-Objective DNN Mapping Framework on Electronic-Photonic Processing-in-Memory Architectures
by: Yin, Ziang, et al.
Published: (2025)

Antiferromagnetic Tunnel Junctions (AFMTJs) for In-Memory Computing: Modeling and Case Study
by: Choudhary, Yousuf, et al.
Published: (2026)