Copertina

Overmind NSA: A Unified Neuro-Symbolic Computing Architecture with Approximate Nonlinear Activations and Preemptive Memory Bypass

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Weilun, Wang, Zirui, Li, Wantong
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Hardware Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

In-Memory ADC-Based Nonlinear Activation Quantization for Efficient In-Memory Computing
di: Dong, Shuai, et al.
Pubblicazione: (2026)

Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate
di: Najafi, Deniz, et al.
Pubblicazione: (2024)

Enhanced Hybrid Temporal Computing Using Deterministic Summations for Ultra-Low-Power Accelerators
di: Sachdeva, Sachin, et al.
Pubblicazione: (2025)

Memory-Guided Unified Hardware Accelerator for Mixed-Precision Scientific Computing
di: Wang, Chuanzhen, et al.
Pubblicazione: (2026)

Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture
di: Wan, Zishen, et al.
Pubblicazione: (2024)

In-Memory Computing Architecture for Efficient Hardware Security
di: Ajmi, Hala, et al.
Pubblicazione: (2024)

Hemlet: A Heterogeneous Compute-in-Memory Chiplet Architecture for Vision Transformers with Group-Level Parallelism
di: Wang, Cong, et al.
Pubblicazione: (2025)

FusionCIM: Accelerating LLM Inference with Fusion-Driven Computing-in-Memory Architecture
di: Xuan, Zihao, et al.
Pubblicazione: (2026)

PACiM: A Sparsity-Centric Hybrid Compute-in-Memory Architecture via Probabilistic Approximation
di: Zhang, Wenlun, et al.
Pubblicazione: (2024)

LIMCA: LLM for Automating Analog In-Memory Computing Architecture Design Exploration
di: Vungarala, Deepak, et al.
Pubblicazione: (2025)

Hermes: A Unified High-Performance NTT Architecture with Hybrid Dataflow
di: Gu, Hang, et al.
Pubblicazione: (2026)

An Architectural Error Metric for CNN-Oriented Approximate Multipliers
di: Liu, Ao, et al.
Pubblicazione: (2024)

A System Architecture for Low Latency Multiprogramming Quantum Computing
di: Zhao, Yilun, et al.
Pubblicazione: (2026)

Scalable and RISC-V Programmable Near-Memory Computing Architectures for Edge Nodes
di: Caon, Michele, et al.
Pubblicazione: (2024)

3D-TrIM: A Memory-Efficient Spatial Computing Architecture for Convolution Workloads
di: Sestito, Cristian, et al.
Pubblicazione: (2025)

Accelerating Multi-Scale Deformable Attention Using Near-Memory-Processing Architecture
di: Li, Huize, et al.
Pubblicazione: (2026)

Flexible Bit-Truncation Memory for Approximate Applications on the Edge
di: Oswald, William, et al.
Pubblicazione: (2025)

GEM3D CIM General Purpose Matrix Computation Using 3D Integrated SRAM eDRAM Hybrid Compute In Memory on Memory Architecture
di: Chakraborty, Subhradip, et al.
Pubblicazione: (2026)

In-Pipeline Integration of Digital In-Memory-Computing into RISC-V Vector Architecture to Accelerate Deep Learning
di: Spagnolo, Tommaso, et al.
Pubblicazione: (2026)

A Computing-in-Memory-based One-Class Hyperdimensional Computing Model for Outlier Detection
di: Wang, Ruixuan, et al.
Pubblicazione: (2023)

A 33.6-136.2 TOPS/W Nonlinear Analog Computing-In-Memory Macro for Multi-bit LSTM Accelerator in 65 nm CMOS
di: Yang, Junyi, et al.
Pubblicazione: (2025)

Kernel Approximation using Analog In-Memory Computing
di: Büchel, Julian, et al.
Pubblicazione: (2024)

SOFA: A Compute-Memory Optimized Sparsity Accelerator via Cross-Stage Coordinated Tiling
di: Wang, Huizheng, et al.
Pubblicazione: (2024)

A Hybrid-Domain Floating-Point Compute-in-Memory Architecture for Efficient Acceleration of High-Precision Deep Neural Networks
di: Yi, Zhiqiang, et al.
Pubblicazione: (2025)

Harmonia: Algorithm-Hardware Co-Design for Memory- and Compute-Efficient BFP-based LLM Inference
di: Wang, Xinyu, et al.
Pubblicazione: (2026)

CINM (Cinnamon): A Compilation Infrastructure for Heterogeneous Compute In-Memory and Compute Near-Memory Paradigms
di: Khan, Asif Ali, et al.
Pubblicazione: (2022)

MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and Repetitiveness
di: Wang, Huizheng, et al.
Pubblicazione: (2025)

Efficient Nonlinear Function Approximation in Analog Resistive Crossbars for Recurrent Neural Networks
di: Yang, Junyi, et al.
Pubblicazione: (2024)

Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI
di: Wan, Zishen, et al.
Pubblicazione: (2024)

PIM-malloc: A Fast and Scalable Dynamic Memory Allocator for Processing-In-Memory (PIM) Architectures
di: Lee, Dongjae, et al.
Pubblicazione: (2025)

A Unified Framework for Mapping and Synthesis of Approximate R-Blocks CGRAs
di: Alexandris, Georgios, et al.
Pubblicazione: (2025)

REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence
di: Wan, Zishen, et al.
Pubblicazione: (2026)

CMD: A Cache-assisted GPU Memory Deduplication Architecture
di: Zhao, Wei, et al.
Pubblicazione: (2024)

PC2IM: An Efficient In-Memory Computing Accelerator for 3D Point Cloud
di: Wang, Dengfeng, et al.
Pubblicazione: (2026)

A Switch-Centric In-Network Architecture for Accelerating LLM Inference in Shared-Memory Network
di: Jiang, Aojie, et al.
Pubblicazione: (2026)

A Review of Memory Wall for Neuromorphic Computing
di: Le, Dexter, et al.
Pubblicazione: (2025)

Adaptive Hybrid FFT: A Novel Pipeline and Memory-Based Architecture for Radix-$2^k$ FFT in Large Size Processing
di: Zhao, Fangyu, et al.
Pubblicazione: (2025)

NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI
di: Yang, Hanchen, et al.
Pubblicazione: (2025)

PUMA: Efficient and Low-Cost Memory Allocation and Alignment Support for Processing-Using-Memory Architectures
di: Oliveira, Geraldo F., et al.
Pubblicazione: (2024)

A Review of SRAM-based Compute-in-Memory Circuits
di: Yoshioka, Kentaro, et al.
Pubblicazione: (2024)