OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads
Fuente:
arXiv
Saved in:
| Main Authors: | Agwa, Shady, Pan, Yihan, Papandroulidakis, Georgios, Prodromakis, Themis |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DISCA: A Digital In-memory Stochastic Computing Architecture Using A Compressed Bent-Pyramid Format
by: Agwa, Shady, et al.
Published: (2025)
by: Agwa, Shady, et al.
Published: (2025)
A 9T4R RRAM-Based ACAM for Analogue Template Matching at the Edge
by: Papandroulidakis, Georgios, et al.
Published: (2024)
by: Papandroulidakis, Georgios, et al.
Published: (2024)
A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference
by: Woodward, Kieran, et al.
Published: (2025)
by: Woodward, Kieran, et al.
Published: (2025)
DRAGON (Differentiable Graph Execution) : A suite of Hardware Simulation and Optimization tools for Modern AI/Non-AI Workloads
by: Sethi, Khushal
Published: (2022)
by: Sethi, Khushal
Published: (2022)
TrIM, Triangular Input Movement Systolic Array for Convolutional Neural Networks: Dataflow and Analytical Modelling
by: Sestito, Cristian, et al.
Published: (2024)
by: Sestito, Cristian, et al.
Published: (2024)
TrIM, Triangular Input Movement Systolic Array for Convolutional Neural Networks: Architecture and Hardware Implementation
by: Sestito, Cristian, et al.
Published: (2024)
by: Sestito, Cristian, et al.
Published: (2024)
Scaling Analog Photonic Accelerators for Byte-Size, Integer General Matrix Multiply (GEMM) Kernels
by: Alo, Oluwaseun Adewunmi, et al.
Published: (2024)
by: Alo, Oluwaseun Adewunmi, et al.
Published: (2024)
Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads
by: Sharma, Harsh, et al.
Published: (2024)
by: Sharma, Harsh, et al.
Published: (2024)
3D-TrIM: A Memory-Efficient Spatial Computing Architecture for Convolution Workloads
by: Sestito, Cristian, et al.
Published: (2025)
by: Sestito, Cristian, et al.
Published: (2025)
DiP: A Scalable, Energy-Efficient Systolic Array for Matrix Multiplication Acceleration
by: Abdelmaksoud, Ahmed J., et al.
Published: (2024)
by: Abdelmaksoud, Ahmed J., et al.
Published: (2024)
3RSeT: Read Disturbance Rate Reduction in STT-MRAM Caches by Selective Tag Comparison
by: Cheshmikhani, Elham, et al.
Published: (2025)
by: Cheshmikhani, Elham, et al.
Published: (2025)
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems
by: Choong, Benjamin Chen Ming, et al.
Published: (2025)
by: Choong, Benjamin Chen Ming, et al.
Published: (2025)
A Low-Dissipation and Scalable GEMM Accelerator with Silicon Nitride Photonics
by: Karempudi, Venkata Sai Praneeth, et al.
Published: (2024)
by: Karempudi, Venkata Sai Praneeth, et al.
Published: (2024)
Efficient and accurate neural field reconstruction using resistive memory
by: Yu, Yifei, et al.
Published: (2024)
by: Yu, Yifei, et al.
Published: (2024)
Governance at the Edge of Architecture: Regulating NeuroAI and Neuromorphic Systems
by: Kashif, Afifah, et al.
Published: (2026)
by: Kashif, Afifah, et al.
Published: (2026)
Scaling Intelligence: Designing Data Centers for Next-Gen Language Models
by: Tithi, Jesmin Jahan, et al.
Published: (2025)
by: Tithi, Jesmin Jahan, et al.
Published: (2025)
StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators
by: Rogers, Ethan G, et al.
Published: (2024)
by: Rogers, Ethan G, et al.
Published: (2024)
DarwinWafer: A Wafer-Scale Neuromorphic Chip
by: Zhu, Xiaolei, et al.
Published: (2025)
by: Zhu, Xiaolei, et al.
Published: (2025)
Karatsuba Matrix Multiplication and its Efficient Custom Hardware Implementations
by: Pogue, Trevor E., et al.
Published: (2025)
by: Pogue, Trevor E., et al.
Published: (2025)
Lifetime-Aware Design for Item-Level Intelligence at the Extreme Edge
by: Prakash, Shvetank, et al.
Published: (2025)
by: Prakash, Shvetank, et al.
Published: (2025)
KVNAND: Efficient On-Device Large Language Model Inference Using DRAM-Free In-Flash Computing
by: Deng, Lishuo, et al.
Published: (2025)
by: Deng, Lishuo, et al.
Published: (2025)
Rapid yet accurate Tile-circuit and device modeling for Analog In-Memory Computing
by: Luquin, J., et al.
Published: (2025)
by: Luquin, J., et al.
Published: (2025)
Low-power Spike-based Wearable Analytics on RRAM Crossbars
by: Bhattacharjee, Abhiroop, et al.
Published: (2025)
by: Bhattacharjee, Abhiroop, et al.
Published: (2025)
Multibit neural inference in a N-ary crossbar architecture
by: Moureaux, Anatole, et al.
Published: (2026)
by: Moureaux, Anatole, et al.
Published: (2026)
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
by: Li, Chenqi, et al.
Published: (2022)
by: Li, Chenqi, et al.
Published: (2022)
HEANA: A Hybrid Time-Amplitude Analog Optical Accelerator with Flexible Dataflows for Energy-Efficient CNN Inference
by: Vatsavai, Sairam Sri, et al.
Published: (2024)
by: Vatsavai, Sairam Sri, et al.
Published: (2024)
A Blueprint for Precise and Fault-Tolerant Analog Neural Networks
by: Demirkiran, Cansu, et al.
Published: (2023)
by: Demirkiran, Cansu, et al.
Published: (2023)
Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron Array
by: Tomlinson, Michael, et al.
Published: (2024)
by: Tomlinson, Michael, et al.
Published: (2024)
A System Level Performance Evaluation for Superconducting Digital Systems
by: Kundu, Joyjit, et al.
Published: (2024)
by: Kundu, Joyjit, et al.
Published: (2024)
Stoch-IMC: A Bit-Parallel Stochastic In-Memory Computing Architecture Based on STT-MRAM
by: Hajisadeghi, Amir M., et al.
Published: (2024)
by: Hajisadeghi, Amir M., et al.
Published: (2024)
An Energy-Aware RIoT System: Analysis, Modeling and Prediction in the SUPERIOT Framework
by: Bocus, Mohammud J., et al.
Published: (2025)
by: Bocus, Mohammud J., et al.
Published: (2025)
In-Memory Learning Automata Architecture using Y-Flash Cell
by: Ghazal, Omar, et al.
Published: (2024)
by: Ghazal, Omar, et al.
Published: (2024)
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
by: Leon, Vasileios, et al.
Published: (2023)
by: Leon, Vasileios, et al.
Published: (2023)
IMPACT:InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference
by: Ghazal, Omar, et al.
Published: (2024)
by: Ghazal, Omar, et al.
Published: (2024)
Wattlytics: A Web Platform for Co-Optimizing Performance, Energy, and TCO in HPC Clusters
by: Afzal, Ayesha, et al.
Published: (2026)
by: Afzal, Ayesha, et al.
Published: (2026)
Toward Large-Scale Photonics-Empowered AI Systems: From Physical Design Automation to System-Algorithm Co-Exploration
by: Yin, Ziang, et al.
Published: (2025)
by: Yin, Ziang, et al.
Published: (2025)
Democratizing Electronic-Photonic AI Systems: An Open-Source AI-Infused Cross-Layer Co-Design and Design Automation Toolflow
by: Zhou, Hongjian, et al.
Published: (2025)
by: Zhou, Hongjian, et al.
Published: (2025)
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)
All-in-Memory Stochastic Computing using ReRAM
by: de Lima, João Paulo C., et al.
Published: (2025)
by: de Lima, João Paulo C., et al.
Published: (2025)
Modeling and Simulation Frameworks for Processing-in-Memory Architectures
by: Aghaei, Mahdi, et al.
Published: (2025)
by: Aghaei, Mahdi, et al.
Published: (2025)
Similar Items
-
DISCA: A Digital In-memory Stochastic Computing Architecture Using A Compressed Bent-Pyramid Format
by: Agwa, Shady, et al.
Published: (2025) -
A 9T4R RRAM-Based ACAM for Analogue Template Matching at the Edge
by: Papandroulidakis, Georgios, et al.
Published: (2024) -
A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference
by: Woodward, Kieran, et al.
Published: (2025) -
DRAGON (Differentiable Graph Execution) : A suite of Hardware Simulation and Optimization tools for Modern AI/Non-AI Workloads
by: Sethi, Khushal
Published: (2022) -
TrIM, Triangular Input Movement Systolic Array for Convolutional Neural Networks: Dataflow and Analytical Modelling
by: Sestito, Cristian, et al.
Published: (2024)