Cover Image

A Survey of Neural Network Variational Monte Carlo from a Computing Workload Characterization Perspective

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiao, Zhengze, Ding, Xuanzhe, Lou, Yuyang, Cheng, Lixue, Li, Chaojian
Format:	Preprint
Published:	2026
Subjects:	Hardware Architecture Chemical Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Development of embedded target detection system based on FPGA and YOLOv3-Tiny
by: Jiang, Zihan, et al.
Published: (2026)

Survey on Characterizing and Understanding GNNs from a Computer Architecture Perspective
by: Wu, Meng, et al.
Published: (2024)

Workload Characterization for Branch Predictability
by: Vikas, FNU, et al.
Published: (2025)

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

Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device
by: Zhang, Niansong, et al.
Published: (2025)

RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering
by: Li, Chaojian, et al.
Published: (2022)

Communication Characterization of AI Workloads for Large-scale Multi-chiplet Accelerators
by: Musavi, Mariam, et al.
Published: (2024)

Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction
by: Li, Sixu, et al.
Published: (2023)

Messaging-based Adaptive Vector Computing (MAVeC) Accelerator for AI Workloads
by: Chowdhury, Md. Rownak Hossain, et al.
Published: (2024)

SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity
by: Li, Xingyang, et al.
Published: (2025)

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

Low-Latency FPGA Control System for Real-Time Neural Network Processing in CCD-Based Trapped-Ion Qubit Measurement
by: Lou, Binglei, et al.
Published: (2025)

HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads
by: Negi, Shubham, et al.
Published: (2024)

CIMPool: Scalable Neural Network Acceleration for Compute-In-Memory using Weight Pools
by: Li, Shurui, et al.
Published: (2025)

Electron-Tunnelling-Noise Programmable Random Variate Accelerator for Monte Carlo Sampling
by: Meech, James T., et al.
Published: (2024)

Workload-Aware Early-Stage Power Delivery Network Optimization via Architectural Power Traces
by: Hayes, Oran, et al.
Published: (2026)

A Survey on LUT-based Deep Neural Networks Implemented in FPGAs
by: Guo, Zeyu
Published: (2025)

Nexus Machine: An Active Message Inspired Reconfigurable Architecture for Irregular Workloads
by: Juneja, Rohan, et al.
Published: (2025)

OneAdapt: Adaptive Compilation for Resource-Constrained Photonic One-Way Quantum Computing
by: Zhang, Hezi, et al.
Published: (2025)

No One-Size-Fits-All: A Workload-Driven Characterization of Bit-Parallel vs. Bit-Serial Data Layouts for Processing-using-Memory
by: Zhang, Jingyao, et al.
Published: (2025)

MCPT-Solver: An Monte Carlo Algorithm Solver Using MTJ Devices for Particle Transport Problems
by: Fu, Siqing, et al.
Published: (2026)

Mapping Space Exploration for Multi-Chiplet Accelerators Targeting LLM Inference Serving Workloads
by: Li, Boyu, et al.
Published: (2025)

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

NeuroAI Temporal Neural Networks (NeuTNNs): Microarchitecture and Design Framework for Specialized Neuromorphic Processing Units
by: Venkatachalam, Shanmuga, et al.
Published: (2026)

Architectural Classification of XR Workloads: Cross-Layer Archetypes and Implications
by: Shi, Xinyu, et al.
Published: (2026)

Prosperity: Accelerating Spiking Neural Networks via Product Sparsity
by: Wei, Chiyue, et al.
Published: (2025)

Towards An Approach to Identify Divergences in Hardware Designs for HPC Workloads
by: Popovici, Doru Thom, et al.
Published: (2025)

Allspark: Workload Orchestration for Visual Transformers on Processing In-Memory Systems
by: Ge, Mengke, et al.
Published: (2024)

Reconfigurable Quantum Instruction Set Computers for High Performance Attainable on Hardware
by: Yang, Zhaohui, et al.
Published: (2025)

Merits of Time-Domain Computing for VMM -- A Quantitative Comparison
by: Freye, Florian, et al.
Published: (2024)

NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms
by: Liang, Zhiding, et al.
Published: (2022)

TROOP: At-the-Roofline Performance for Vector Processors on Low Operational Intensity Workloads
by: Purayil, Navaneeth Kunhi, et al.
Published: (2025)

Study on the Particle Sorting Performance for Reactor Monte Carlo Neutron Transport on Apple Unified Memory GPUs
by: Liu, Changyuan
Published: (2024)

i-FlatCam: A 253 FPS, 91.49 $μ$J/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR
by: Zhao, Yang, et al.
Published: (2022)

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy
by: Feng, Yu, et al.
Published: (2025)

EnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads
by: Lee, Kyungmi, et al.
Published: (2026)

Special Session: Sustainable Deployment of Deep Neural Networks on Non-Volatile Compute-in-Memory Accelerators
by: Qin, Yifan, et al.
Published: (2025)

Voxel-CIM: An Efficient Compute-in-Memory Accelerator for Voxel-based Point Cloud Neural Networks
by: Lin, Xipeng, et al.
Published: (2024)

Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)

KLiNQ: Knowledge Distillation-Assisted Lightweight Neural Network for Qubit Readout on FPGA
by: Guo, Xiaorang, et al.
Published: (2025)