Cover Image

Harnessing the Full Potential of RRAMs through Scalable and Distributed In-Memory Computing with Integrated Error Correction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vo, Huynh Q. N., Chowdhury, Md Tawsif Rahman, Ramanan, Paritosh, Yildirim, Murat, Tutuncuoglu, Gozde
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Hardware Architecture Emerging Technologies Performance Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From GPUs to RRAMs: Distributed In-Memory Primal-Dual Hybrid Gradient Method for Solving Large-Scale Linear Optimization Problem
by: Vo, Huynh Q. N., et al.
Published: (2025)

The Lynchpin of In-Memory Computing: A Benchmarking Framework for Vector-Matrix Multiplication in RRAMs
by: Chowdhury, Md Tawsif Rahman, 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)

Atomic-Scale Insights into the Switching Mechanisms of RRAM Devices
by: Chowdhury, Md Tawsif Rahman, et al.
Published: (2025)

Scaling Intelligence: Designing Data Centers for Next-Gen Language Models
by: Tithi, Jesmin Jahan, et al.
Published: (2025)

A Low-Dissipation and Scalable GEMM Accelerator with Silicon Nitride Photonics
by: Karempudi, Venkata Sai Praneeth, 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)

3RSeT: Read Disturbance Rate Reduction in STT-MRAM Caches by Selective Tag Comparison
by: Cheshmikhani, Elham, et al.
Published: (2025)

Efficient and Scalable Architecture for Multiple-chip Implementation of Simulated Bifurcation Machines
by: Kashimata, Tomoya, et al.
Published: (2023)

Evaluating the Potential of In-Memory Processing to Accelerate Homomorphic Encryption
by: Mwaisela, Mpoki, et al.
Published: (2024)

OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads
by: Agwa, Shady, et al.
Published: (2025)

DISCA: A Digital In-memory Stochastic Computing Architecture Using A Compressed Bent-Pyramid Format
by: Agwa, Shady, 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)

Managed-Retention Memory: A New Class of Memory for the AI Era
by: Legtchenko, Sergey, et al.
Published: (2025)

DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures
by: Yang, Peiming, et al.
Published: (2025)

PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures
by: Giannoula, Christina, et al.
Published: (2024)

ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression
by: Fan, Ruibo, et al.
Published: (2026)

Open Challenges for a Production-ready Cloud Environment on top of RISC-V hardware
by: Call, Aaron, et al.
Published: (2025)

CLAASIC: a Cortex-Inspired Hardware Accelerator
by: Puente, Valentin, et al.
Published: (2016)

DFabric: Scaling Out Data Parallel Applications with CXL-Ethernet Hybrid Interconnects
by: Zhang, Xu, et al.
Published: (2024)

TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design
by: Guo, Licheng, et al.
Published: (2022)

GigaAPI for GPU Parallelization
by: Suvarna, M., et al.
Published: (2025)

Performance Analysis of HPC applications on the Aurora Supercomputer: Exploring the Impact of HBM-Enabled Intel Xeon Max CPUs
by: Ibeid, Huda, et al.
Published: (2025)

UPMEM Unleashed: Software Secrets for Speed
by: Chmielewski, Krystian, et al.
Published: (2025)

Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis
by: Luo, Weile, et al.
Published: (2025)

Experimental Assessment of Containers Running on Top of Virtual Machines
by: Aqasizade, Hossein, et al.
Published: (2024)

Compiler Support for Speculation in Decoupled Access/Execute Architectures
by: Szafarczyk, Robert, et al.
Published: (2025)

Profiling Concurrent Vision Inference Workloads on NVIDIA Jetson -- Extended
by: Chakraborty, Abhinaba, et al.
Published: (2025)

Exploring and Evaluating Real-world CXL: Use Cases and System Adoption
by: Wang, Xi, et al.
Published: (2024)

Parallelizing a modern GPU simulator
by: Huerta, Rodrigo, et al.
Published: (2025)

Can Asymmetric Tile Buffering Be Beneficial?
by: Wang, Chengyue, et al.
Published: (2025)

Exploiting long vectors with a CFD code: a co-design show case
by: Blancafort, Marc, et al.
Published: (2024)

Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs
by: Qararyah, Fareed, et al.
Published: (2024)

Simopt -- Simulation pass for Speculative Optimisation of FPGA-CAD flow
by: Wadhwa, Eashan, et al.
Published: (2024)

ARKV: Adaptive and Resource-Efficient KV Cache Management under Limited Memory Budget for Long-Context Inference in LLMs
by: Lei, Jianlong, et al.
Published: (2026)

Novel Efficient Scalable QCA XOR and Full Adder Designs
by: Safaiezadeh, Behrouz, et al.
Published: (2023)

Evaluating Fault Tolerance and Scalability in Distributed File Systems: A Case Study of GFS, HDFS, and MinIO
by: Malhotra, Shubham, et al.
Published: (2025)

Tempus: A Temporally Scalable Resource-Invariant GEMM Streaming Framework for Versal AI Edge
by: Grailoo, M., et al.
Published: (2026)

Seamless acceleration of Fortran intrinsics via AMD AI engines
by: Brown, Nick, et al.
Published: (2025)

The Landscape of GPU-Centric Communication
by: Unat, Didem, et al.
Published: (2024)