Designing Approximate Arithmetic Circuits with Combined Error Constraints
Fuente:
arXiv
Saved in:
| Main Authors: | Češka, Milan, Matyáš, Jiří, Mrazek, Vojtech, Vojnar, Tomáš |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AxMED: Formal Analysis and Automated Design of Approximate Median Filters using BDDs
by: Mrazek, Vojtech, et al.
Published: (2025)
by: Mrazek, Vojtech, et al.
Published: (2025)
ObfAx: Obfuscation and IP Piracy Detection in Approximate Circuits
by: Sekanina, Lukas, et al.
Published: (2026)
by: Sekanina, Lukas, et al.
Published: (2026)
ApproxGNN: A Pretrained GNN for Parameter Prediction in Design Space Exploration for Approximate Computing
by: Vlcek, Ondrej, et al.
Published: (2025)
by: Vlcek, Ondrej, et al.
Published: (2025)
Late Breaking Result: FPGA-Based Emulation and Fault Injection for CNN Inference Accelerators
by: Masar, Filip, et al.
Published: (2025)
by: Masar, Filip, et al.
Published: (2025)
Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks
by: Mrazek, Vojtech, et al.
Published: (2024)
by: Mrazek, Vojtech, et al.
Published: (2024)
TRAPTI: Time-Resolved Analysis for SRAM Banking and Power Gating Optimization in Embedded Transformer Inference
by: Klhufek, Jan, et al.
Published: (2026)
by: Klhufek, Jan, et al.
Published: (2026)
Soft Error Probability Estimation of Nano-scale Combinational Circuits
by: Jockar, Ali, et al.
Published: (2025)
by: Jockar, Ali, et al.
Published: (2025)
Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network Accelerators
by: Klhufek, Jan, et al.
Published: (2024)
by: Klhufek, Jan, et al.
Published: (2024)
From Circuits to SoC Processors: Arithmetic Approximation Techniques & Embedded Computing Methodologies for DSP Acceleration
by: Leon, Vasileios
Published: (2023)
by: Leon, Vasileios
Published: (2023)
SWAPPER: Dynamic Operand Swapping in Non-commutative Approximate Circuits for Online Error Reduction
by: Traiola, Marcello, et al.
Published: (2025)
by: Traiola, Marcello, et al.
Published: (2025)
Combining Power and Arithmetic Optimization via Datapath Rewriting
by: Coward, Samuel, et al.
Published: (2024)
by: Coward, Samuel, et al.
Published: (2024)
An Architectural Error Metric for CNN-Oriented Approximate Multipliers
by: Liu, Ao, et al.
Published: (2024)
by: Liu, Ao, et al.
Published: (2024)
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
by: Fang, Wenji, et al.
Published: (2025)
by: Fang, Wenji, et al.
Published: (2025)
Signal Prediction for Digital Circuits by Sigmoidal Approximations using Neural Networks
by: Salzmann, Josef, et al.
Published: (2024)
by: Salzmann, Josef, et al.
Published: (2024)
RangeGuard: Efficient, Bounded Approximate Error Correction for Reliable DNNs
by: Ko, Hanum, et al.
Published: (2026)
by: Ko, Hanum, et al.
Published: (2026)
Non-Binary LDPC Arithmetic Error Correction For Processing-in-Memory
by: Shi, Daijing, et al.
Published: (2025)
by: Shi, Daijing, et al.
Published: (2025)
FPGA-Based Multiplier with a New Approximate Full Adder for Error-Resilient Applications
by: Ranjbar, Ali, et al.
Published: (2025)
by: Ranjbar, Ali, et al.
Published: (2025)
AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models
by: Xue, Chenhao, et al.
Published: (2025)
by: Xue, Chenhao, et al.
Published: (2025)
E2AFS: Energy-Efficient Approximate Floating Point Square Rooter for Error Tolerant Computing
by: Goyal, Prateek, et al.
Published: (2026)
by: Goyal, Prateek, et al.
Published: (2026)
MAx-DNN: Multi-Level Arithmetic Approximation for Energy-Efficient DNN Hardware Accelerators
by: Leon, Vasileios, et al.
Published: (2025)
by: Leon, Vasileios, et al.
Published: (2025)
Design and Analysis of Approximate Hardware Accelerators for VVC Intra Angular Prediction
by: de Fraga, Lucas M. Leipnitz, et al.
Published: (2025)
by: de Fraga, Lucas M. Leipnitz, et al.
Published: (2025)
ShortCircuit: AlphaZero-Driven Circuit Design
by: Tsaras, Dimitrios, et al.
Published: (2024)
by: Tsaras, Dimitrios, et al.
Published: (2024)
Co-Design of CNN Accelerators for TinyML using Approximate Matrix Decomposition
by: Morales, José Juan Hernández, et al.
Published: (2026)
by: Morales, José Juan Hernández, et al.
Published: (2026)
AxOMaP: Designing FPGA-based Approximate Arithmetic Operators using Mathematical Programming
by: Sahoo, Siva Satyendra, et al.
Published: (2023)
by: Sahoo, Siva Satyendra, et al.
Published: (2023)
TATAA: Programmable Mixed-Precision Transformer Acceleration with a Transformable Arithmetic Architecture
by: Wu, Jiajun, et al.
Published: (2024)
by: Wu, Jiajun, et al.
Published: (2024)
High-Performance Pipelined NTT Accelerators with Homogeneous Digit-Serial Modulo Arithmetic
by: Alexakis, George, et al.
Published: (2025)
by: Alexakis, George, et al.
Published: (2025)
Increasing the Energy-Efficiency of Wearables Using Low-Precision Posit Arithmetic with PHEE
by: Mallasén, David, et al.
Published: (2025)
by: Mallasén, David, et al.
Published: (2025)
Design of a GPU with Heterogeneous Cores for Graphics
by: Tomás, Aurora, et al.
Published: (2026)
by: Tomás, Aurora, et al.
Published: (2026)
Co-Designing Graph-based Approximate Nearest Neighbor Search at Billion Scale for Processing-in-Memory
by: Chen, Sitian, et al.
Published: (2026)
by: Chen, Sitian, et al.
Published: (2026)
Big-PERCIVAL: Exploring the Native Use of 64-Bit Posit Arithmetic in Scientific Computing
by: Mallasén, David, et al.
Published: (2023)
by: Mallasén, David, et al.
Published: (2023)
DSLR-CNN: Efficient CNN Acceleration using Digit-Serial Left-to-Right Arithmetic
by: Nisar, Malik Zohaib, et al.
Published: (2025)
by: Nisar, Malik Zohaib, et al.
Published: (2025)
Approximate Multiplier Induced Error Propagation in Deep Neural Networks
by: Alahakoon, A. M. H. H., et al.
Published: (2025)
by: Alahakoon, A. M. H. H., et al.
Published: (2025)
System-Level Design Space Exploration for High-Level Synthesis under End-to-End Latency Constraints
by: Liao, Yuchao, et al.
Published: (2024)
by: Liao, Yuchao, et al.
Published: (2024)
Co-Designing Error Mitigation and Error Detection for Logical Qubits
by: Kumar, Rohan S., et al.
Published: (2026)
by: Kumar, Rohan S., et al.
Published: (2026)
Modulo-$(2^{2n}+1)$ Arithmetic via Two Parallel n-bit Residue Channels
by: Jaberipur, Ghassem, et al.
Published: (2024)
by: Jaberipur, Ghassem, et al.
Published: (2024)
Design and Performance Analysis of an Ultra-Low Power Integrate-and-Fire Neuron Circuit Using Nanoscale Side-contacted Field Effect Diode Technology
by: Motaman, Seyedmohamadjavad, et al.
Published: (2024)
by: Motaman, Seyedmohamadjavad, et al.
Published: (2024)
CPPL: A Circuit Prompt Programming Language
by: Yin, Shuo, et al.
Published: (2026)
by: Yin, Shuo, et al.
Published: (2026)
JugglePAC: A Pipelined Accumulation Circuit
by: Houraniah, Ahmad, et al.
Published: (2023)
by: Houraniah, Ahmad, et al.
Published: (2023)
Recurrent CircuitSAT Sampling for Sequential Circuits
by: Ardakani, Arash, et al.
Published: (2025)
by: Ardakani, Arash, et al.
Published: (2025)
Web-Based Simulator of Superscalar RISC-V Processors
by: Jaros, Jiri, et al.
Published: (2024)
by: Jaros, Jiri, et al.
Published: (2024)
Similar Items
-
AxMED: Formal Analysis and Automated Design of Approximate Median Filters using BDDs
by: Mrazek, Vojtech, et al.
Published: (2025) -
ObfAx: Obfuscation and IP Piracy Detection in Approximate Circuits
by: Sekanina, Lukas, et al.
Published: (2026) -
ApproxGNN: A Pretrained GNN for Parameter Prediction in Design Space Exploration for Approximate Computing
by: Vlcek, Ondrej, et al.
Published: (2025) -
Late Breaking Result: FPGA-Based Emulation and Fault Injection for CNN Inference Accelerators
by: Masar, Filip, et al.
Published: (2025) -
Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks
by: Mrazek, Vojtech, et al.
Published: (2024)