L-SPINE: A Low-Precision SIMD Spiking Neural Compute Engine for Resource-efficient Edge Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Kumar, Sonu, Lokhande, Mukul, Vishvakarma, Santosh Kumar |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
E-ReCON: An Energy- and Resource-Efficient Precision-Configurable Sparse nvCIM Macro for Conventional and Spiking Neural Edge Inference
by: Tenwar, Ankit Kumar, et al.
Published: (2026)
by: Tenwar, Ankit Kumar, et al.
Published: (2026)
CORVET: A CORDIC-Powered, Resource-Frugal Mixed-Precision Vector Processing Engine for High-Throughput AIoT applications
by: Kumar, Sonu, et al.
Published: (2026)
by: Kumar, Sonu, et al.
Published: (2026)
ReLANCE: A Resource-Efficient Low-Latency Cortical Neural Acceleration Engine
by: Kumar, Sonu, et al.
Published: (2025)
by: Kumar, Sonu, et al.
Published: (2025)
CARMEN: CORDIC-Accelerated Resource-Efficient Multi-Precision Inference Engine for Deep Learning
by: Kumar, Sonu, et al.
Published: (2026)
by: Kumar, Sonu, et al.
Published: (2026)
RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm-Hardware Co-desigN
by: Khan, Mohd Faisal, et al.
Published: (2025)
by: Khan, Mohd Faisal, et al.
Published: (2025)
SPADE: A SIMD Posit-enabled compute engine for Accelerating DNN Efficiency
by: Kumar, Sonu, et al.
Published: (2026)
by: Kumar, Sonu, et al.
Published: (2026)
POLARON: Precision-aware On-device Learning and Adaptive Runtime-cONfigurable AI acceleration
by: Lokhande, Mukul, et al.
Published: (2025)
by: Lokhande, Mukul, et al.
Published: (2025)
Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI Workloads
by: Lokhande, Mukul, et al.
Published: (2024)
by: Lokhande, Mukul, et al.
Published: (2024)
XR-NPE: High-Throughput Mixed-precision SIMD Neural Processing Engine for Extended Reality Perception Workloads
by: Chaudhari, Tejas, et al.
Published: (2025)
by: Chaudhari, Tejas, et al.
Published: (2025)
EULER-ADAS: Energy-Efficient & SIMD-Unified Logarithmic-Posit Engine for Precision-Reconfigurable Approximate ADAS Acceleration
by: Lokhande, Mukul, et al.
Published: (2026)
by: Lokhande, Mukul, et al.
Published: (2026)
QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine
by: Jha, Anushka, et al.
Published: (2025)
by: Jha, Anushka, et al.
Published: (2025)
Energy-efficient SNN Architecture using 3nm FinFET Multiport SRAM-based CIM with Online Learning
by: Huijbregts, Lucas, et al.
Published: (2024)
by: Huijbregts, Lucas, et al.
Published: (2024)
HYDRA: Hybrid Data Multiplexing and Run-time Layer Configurable DNN Accelerator
by: Kumar, Sonu, et al.
Published: (2024)
by: Kumar, Sonu, et al.
Published: (2024)
TREA: Low-precision Time-Multiplexed, Resource-Efficient Edge Accelerator for Object Detection and Classification
by: Sharma, Vijay Pratap, et al.
Published: (2026)
by: Sharma, Vijay Pratap, et al.
Published: (2026)
Res-DPU: Resource-shared Digital Processing-in-memory Unit for Edge-AI Workloads
by: Lokhande, Mukul, et al.
Published: (2025)
by: Lokhande, Mukul, et al.
Published: (2025)
FERMI-ML: A Flexible and Resource-Efficient Memory-In-Situ SRAM Macro for TinyML acceleration
by: Lokhande, Mukul, et al.
Published: (2025)
by: Lokhande, Mukul, et al.
Published: (2025)
UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy
by: Xing, Qinghui, et al.
Published: (2026)
by: Xing, Qinghui, et al.
Published: (2026)
HENNC: Hardware Engine for Artificial Neural Network-based Chaotic Oscillators
by: Vaziri, Mobin, et al.
Published: (2024)
by: Vaziri, Mobin, et al.
Published: (2024)
Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons
by: Kimura, Nanako, et al.
Published: (2024)
by: Kimura, Nanako, et al.
Published: (2024)
Flexi-NeurA: A Configurable Neuromorphic Accelerator with Adaptive Bit-Precision Exploration for Edge SNNs
by: Farahani, Mohammad, et al.
Published: (2026)
by: Farahani, Mohammad, et al.
Published: (2026)
Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training
by: Zhu, Xueke, et al.
Published: (2024)
by: Zhu, Xueke, et al.
Published: (2024)
SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
by: Gunawardana, Kanishka, et al.
Published: (2026)
by: Gunawardana, Kanishka, et al.
Published: (2026)
Fast Algorithms for Spiking Neural Network Simulation with FPGAs
by: Lindqvist, Björn A., et al.
Published: (2024)
by: Lindqvist, Björn A., et al.
Published: (2024)
Hybrid Synaptic Structure for Spiking Neural Network Realization
by: Razmkhah, Sasan, et al.
Published: (2023)
by: Razmkhah, Sasan, et al.
Published: (2023)
Full Feature Spiking Neural Network Simulation on Micro-Controllers for Neuromorphic Applications at the Edge
by: Niedermeier, L., et al.
Published: (2026)
by: Niedermeier, L., et al.
Published: (2026)
Spiking Transformer Hardware Accelerators in 3D Integration
by: Xu, Boxun, et al.
Published: (2024)
by: Xu, Boxun, et al.
Published: (2024)
Resource-Efficient and Robust Inference of Deep and Bayesian Neural Networks on Embedded and Analog Computing Platforms
by: Klein, Bernhard
Published: (2025)
by: Klein, Bernhard
Published: (2025)
Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge
by: Carpegna, Alessio, et al.
Published: (2024)
by: Carpegna, Alessio, et al.
Published: (2024)
SRAM-Based Compute-in-Memory Accelerator for Linear-decay Spiking Neural Networks
by: Shang, Hongyang, et al.
Published: (2026)
by: Shang, Hongyang, et al.
Published: (2026)
E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer
by: Ma, Yunhao, et al.
Published: (2025)
by: Ma, Yunhao, et al.
Published: (2025)
A 0.5-V Linear Neuromorphic Voltage-to-Spike Encoder Using a Bulk-Driven Transconductor
by: Akbari, Meysam, et al.
Published: (2026)
by: Akbari, Meysam, et al.
Published: (2026)
IzhiRISC-V -- a RISC-V-based Processor with Custom ISA Extension for Spiking Neuron Networks Processing with Izhikevich Neurons
by: Szczerek, Wiktor J., et al.
Published: (2025)
by: Szczerek, Wiktor J., et al.
Published: (2025)
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception
by: Sharma, Deepika, et al.
Published: (2024)
by: Sharma, Deepika, et al.
Published: (2024)
CORDIC Is All You Need
by: Kokane, Omkar, et al.
Published: (2025)
by: Kokane, Omkar, et al.
Published: (2025)
SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks
by: Xu, Boxun, et al.
Published: (2025)
by: Xu, Boxun, et al.
Published: (2025)
Retrospective: A CORDIC Based Configurable Activation Function for NN Applications
by: Kokane, Omkar, et al.
Published: (2025)
by: Kokane, Omkar, et al.
Published: (2025)
FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices
by: Raha, Arnab, et al.
Published: (2024)
by: Raha, Arnab, et al.
Published: (2024)
Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons
by: Ali, Asmer Hamid, et al.
Published: (2024)
by: Ali, Asmer Hamid, et al.
Published: (2024)
Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing
by: Yousefzadeh, Amirreza, et al.
Published: (2026)
by: Yousefzadeh, Amirreza, et al.
Published: (2026)
LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks
by: Yin, Ruokai, et al.
Published: (2024)
by: Yin, Ruokai, et al.
Published: (2024)
Similar Items
-
E-ReCON: An Energy- and Resource-Efficient Precision-Configurable Sparse nvCIM Macro for Conventional and Spiking Neural Edge Inference
by: Tenwar, Ankit Kumar, et al.
Published: (2026) -
CORVET: A CORDIC-Powered, Resource-Frugal Mixed-Precision Vector Processing Engine for High-Throughput AIoT applications
by: Kumar, Sonu, et al.
Published: (2026) -
ReLANCE: A Resource-Efficient Low-Latency Cortical Neural Acceleration Engine
by: Kumar, Sonu, et al.
Published: (2025) -
CARMEN: CORDIC-Accelerated Resource-Efficient Multi-Precision Inference Engine for Deep Learning
by: Kumar, Sonu, et al.
Published: (2026) -
RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm-Hardware Co-desigN
by: Khan, Mohd Faisal, et al.
Published: (2025)